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Today's topics:
* solution manuals - 1 messages, 1 author
http://groups.google.com/group/sci.stat.math/browse_thread/thread/e5182316ef9e0c07?hl=en
* why is probability and statistics a hard subject? - 10 messages, 8 authors
http://groups.google.com/group/sci.stat.math/browse_thread/thread/35284645dd365175?hl=en
* First Four Term Sequence - 1 messages, 1 author
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* Formulating a statistical model of tool runtimes - 1 messages, 1 author
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* Induce Correlation - 2 messages, 2 authors
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* Induced Multi Correlation - 1 messages, 1 author
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* how to obtain prior - 1 messages, 1 author
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==============================================================================
TOPIC: solution manuals
http://groups.google.com/group/sci.stat.math/browse_thread/thread/e5182316ef9e0c07?hl=en
==============================================================================
== 1 of 1 ==
Date: Thurs, Nov 8 2007 1:48 am
From: techie
List of Solution manuals:
Engineering Circuit Analysis 6Ed - Hayt Solutions Manual
Norbury - Solutions manual for mechanics and thermodynamics
Physics For Scientists And Engineers - Solution Manual
RC Hibbeler statistics 11th edition
DigitalSignal Processing; A Computer Based Approach 1st ed
intro to C++ Dietel and diitel solution manual
Openheims discrete time soln manual
Coulson & Richardson's Chemical Engineering, Volume 5, Solutions to
the Problems in Chemical Engineering Volume 2 & 3.pdf
Solutions Manual] [Instructors] Introduction to Linear Algebra--3rd
Edition - Gilbert Strang.pdf
Introduction_to_VLSI_Circuits_and_Systems_(2001_draft)_-
_John_P_Uyemura_-_Solutions_Manual.pdf
PAPOULIS & PILLAI, PROB. R.V & STOCHASTIC PROCESSES 4TH EDITION
SOLUTION
Student Solutions Manual & Study Guide for Hornback's Organic
Chemistry (2nd Ed.) - Joseph M. Hornback.pdf
Field and wave electromagnetics 2nd edition
Java Cookbook Solutions and Examples for Java Developers.pdf
An Introduction to the Mathematicis of Financial Derivatives(Neftci)--
Solution Manual.pdf
probability and statistical inference hogg and tanis 7th ed
Probablility and statistics fundamentals
Signals adn SYstems 2nd edition solution manual
An intro to database systems 8th edition
ELementary differential equations and boundary value problems
Introduction to probability
introduction to algorithms
Microwave engineering 3rd edition
Operating systems concepts soln manual
[Solutions Manual] Mechanical Engineering Design 7th Ed. Shigley
[Solutions Manual] Engineering Mechanic STATICS 10th Ed. R.C. Hibbeler
Stallings W - Instructors manual Operating Systems 4ed
Digital_Signal_Processing_-_Proakis_&_Manolakis_-_Solutions
Elements of Chemical Reaction Engineering - Solutions Manual
Solid_State_Electronic_Devices_Streetman_Solution_Manual
[Solutions Manual] Fourier and Laplace Transform - Antwoorden
Elements of Chemical Reaction Engineering - Solutions Manual
Computational techniques for fluid dynamics - Solutions Manual
Networks - Book Solution
Stallings W - Instructors manual Operating Systems 4ed solutions
Solution Manual For Communication Systems (4th edt) by Simon Haykin
Fundamentals Of Logic Design 5Ed - Charles Roth - Solutions Manual
Solution Manual For Microelectronic Circuits By Adel Sedra
Modern Digital and Analog Communications Systems - B P Lathi Solutions
Manual
Fundamentals of Heat and Mass Transfer - Solutions Manual
[Solutions Manual] [Instructors] Calculus 5Th Ed James Stewart
Proakis J. (2002) Communication Systems Engineering - Solutions
Manual
Solution_Manual_for_Semiconductor_Physics_and_Devices_3ed_Neamen_
serway - physics for scientists and engineers - solution manual
Fundamentals_Of_Logic_Design_5Ed_-_Charles_Roth_-_Solutions_Manual
[Solutions Manual] Thermodynamics - An Engineering Approach, 5Th
Cengal Boles
[Solutions Manual] Engineering Mechanic STATICS 10th Ed. R.C.
Hibbeler
[Solutions Manual] Probability And Statistics For Engineers And
Scientists
Fundamentals of digital logic with VHDL design solutions manual
Sonntag-Borgnakke-Van Wylen -Fundamentals of Thermodynamics Solution
Manual Chapters 10-16
Fundamentals of Heat and Mass Transfer [Frank P.Incropera - David
P.DeWitt] Solution Manual
Introduction_to_VLSI_Circuits_and_Systems_(2001_draft)_-
_John_P_Uyemura_-_Solutions_Manual
[Solutions Manual] [Instructors] Introduction to Linear Algebra--3rd
Edition - Gilbert Strang
Dorf-Svaboda - Solution Manual For Introduction To Electric Circuits
6th Edition
An Introduction to the Mathematicis of Financial Derivatives(Neftci)--
Solution Manual
Modern control engineering -ogata
Fiber Optics Technicians Manual (2nd Ed.)
DigitalComm_Fundamentals_App_Solution_Manual
Solution Manual For Communication Systems (4th edt) by Simon Haykin
Atkins Solution Manual
Microelectronics_-_Millman_Solution_Manual
Modern Physics-4th Edition Solutions Manual
Sakurai - Modern Quantum Mechanics. Solutions to Problems.djvu
Modern Digital and Analog Communication Solutions---Funadamentals of
Communication
Norbury - Solutions manual for mechanics and thermodynamics
Engineering Circuit Analysis 6Ed - Hayt Solutions Manual
serway - physics for scientists and engineers - solution manual
Sonntag-Borgnakke-Van Wylen -Physics - Classical Mechanics -
Fundamentals of Thermodynamics Solution Manual Chapters 1-9
Prentice Hall - Solutions Manual; Communication Systems Engineering
2003
(McGraw-Hill) (Instructors Manual) Electric Machinery Fundamentals 4th
Edition (Stephen J Chapman)
Prentice.Hall- Digital image processing - Gonzalez 2Ed- Solutions
Manual (2002)
Prentice.Hall- Digital image processing - Gonzalez 2Ed- Solutions
Manual (2002)
[Instructor´s Solutions Manual] Introduction to Eletrodynamics - 3rd
ed. David J. Griffiths
[Manual Solution] Mechanics of Materials Hibbeler 4th-Chapter 12
Operating System Concepts 7th ed - Exercises & Solutions
[Problemas y Soluciones] 854 Problemas Seleccionados de Física
Elemental. (B.B.Bújotsev - V. D. Krívehemkov - G. Ya. Miákishev - I.
M. Saráeva)(1979)
[Solução dos problemas] Redes de Computadores - 4a ed. - ANDREW S.
TANENBAUM
Chemical and Engineering Thermodynamics- 3rd Edition- Solutions
Manual
[Soluciones a los problemas] FISICA 1 -2a ed. Luis Rodrigus Valencia
[Soluciones a los problemas] Suplemento Calculo Infinitesimal
Calculus- Michael Spivak.pdf
[Solution Manual] CD Physics - Halliday, Resnick and Walker´s -
Fundamentals of Physics 1, 2, 3 and 4 (4th ed.)(over 2000pages)
[Solutions Manual] Classical Electrodynamics - 2nd Ed. John David
Jackson byKasper van Wijk
[Solutions Manual] Communication Systems Engineering Proakis J (2002)
[Solutions Manual] [Instructors] Advanced Engineering Mathematics 8Ed
- Erwin Kreyszig
[Solutions Manual] [Instructors] Calculus 5Th Ed James Stewart
[Solutions Manual] [Instructors] Introduction to Linear Algebra--3rd
Edition - Gilbert Strang
[Solutions Manual] [Instructors] Physics by Resnick Halliday Krane,
5th Ed. Vol 2
[Solutions Manual] Anton Bivens Davis CALCULUS early transcendentals
7th edition
[Solutions Manual] Applied Statistics and Probability for Engineers
3rd Ed. Douglas C Montgomery, George C. Runger
[Solutions Manual]
Applied.Statistics.and.Probability.for.Engineers.-.Student.,.3rd.Ed.
(2003)John.Wiley.&.Sons.-.
[Solutions manual] Calculus George Thomas 10th ed Vol 1
[Solutions manual] Calculus George Thomas 10th ed Vol 2
[Solutions Manual] Communication Systems 4Th Edition Simon Haykin
[Solutions Manual] Control Systems Engineering, Nise
[Solutions Manual] Design of Analog CMOS Integrated Circuits [McGraw
Hill].pdf
[Solutions Manual] Digital Signal Processing - Proakis & Manolakis
[Solutions Manual] Digital Signal Processing; A Computer-Based
Approach 1st ed
[Solutions Manual] Econometric Analysis - Greene , Williame H. - 5th
Ed
[Solutions Manual] Electric Machinery 6Ed Fitzgerald, Kingsley, Uman
-
[Solutions Manual] Elementary Mechanics & Thermodynamics [2000] by
Professor Jhon W. Norbury
[Solutions Manual] Elementary Mechanics & Thermodynamics [2000] by
Professor Jhon W. Norbury
[Solutions manual] Engineering - Materials Science, Milton Ohring
[Solutions Manual] Engineering Electromagnetics - 6th Edition -
William H. Hayt, John A. Buck
[Solutions Manual] Engineering Fluid Mechanics, 7th ed. Clayton T.
Crowe, Donald F. Elger and John A. Roberson
[Solutions Manual] Engineering Mechanic STATICS 10th Ed. R.C. Hibbeler
[Solutions Manual] Engineering Mechanics DYNAMICS 3rd ed. Hibbeler.R.C
[Solutions Manual] Engineering Mechanics DYNAMICS - Volume 2 Fifth
Edition, (2002) - J. L. Meriam and L. G. Kraige
[Solutions Manual] Fourier and Laplace Transform - Antwoorden
[Solutions Manual] Fundamental os Heat and Mass Transfer [Frank P.
Incropera - David P.DeWitt]
[Solutions Manual] Fundamentals of Engineering Thermodynamics Moran,
M.J. & Shapiro H.N.
[Solutions Manual] Fundamentals of Engineering Thermodynamics, M. J.
Moran and H. N. Shapiro, 5th edition
[Solutions Manual] Fundamentals Of Fluid Mechanics 3Rd And 4Th
Edition.pdf
[Solutions Manual] Fundamentals of Machine Component Design 3rd
Edition by Robert C. Juvinall and Kurt M. Marshek
[Solutions Manual] Fundamentals of Thermodynamics 6th Ed Sonntag-
Borgnakke-Van Wylen
[Solutions Manual] Fundamentals of Thermodynamics [Sonntag-Borgnakke-
Van Wylen]
[Solutions Manual] Fundamentals.of.Thermodynamics.[Sonntag-Borgnakke-
Van.Wylen]
[Solutions Manual] Hibbeler 4ed - Resistência dos Materiais
[Solutions Manual] Introduction to Fluid Mechanics (Fox, 5th ed)
[Solutions Manual] Introduction to Linear Algebra 3Ed - Gilbert Strang
[Solutions Manual] Introduction to VLSI Circuits and Systems (2001
draft) - John P Uyemura
[Solutions Manual] Mechanical Engineering Design 7th Ed. Shigley
[Solutions Manual] Mechanics Of Materials - (3Rd Ed , By Beer,
Johnston, & Dewolf)
[Solutions Manual] Mechanics of Materials, 6th Ed. by R. C. Hibbeler
[Solutions manual] Oppenheim's Discrete Time Signal Processing text
[Solutions Manual] Probability And Statistics For Engineers And
Scientists
[Solutions manual] Probability and Statistics for Engineers and
Scientists Manual HAYLER
[Solutions Manual] Signals and Systems 2nd Ed. - Haykin
[Solutions Manual] Signals And Systems - 2nd Ed.- Oppenheim &
Wilsky.pdf
[Solutions Manual] Thermodynamics - An Engineering Approach, 5Th
Cengal Boles
[Solutions Manual] University Physics - Sears and Zemansky's 11th Ed
An Introduction to Database Systems 8Ed - C J Date - Solutions
Manual.pdf
Classical Mechanics - Goldstein Solved problems
Daniel Shanks - Solved And Unsolved Problems In Number Theory (2Nd
Ed), 1978.pdf
Electric Machinery Fundamentals (Solutions Manual)
Elementary Differential Equations And Boundary Value Problems, 7Th Ed
- Boyce And Diprima Student Solutions Manual, Charles W Haines Ode
Architect Companion
Fundamentals of Logic Design 5Ed - Charles Roth - Solutions Manual
Fundamentals of Thermodynamics 6th Ed (Solutions Manual) - Sonntag-
Borgnakke-Van Wylen
Griffiths, David - Introduction To Electrodynamics Solutions Manual -
With Update
Halliday, Resnick - Fundamentals Of Physics - 7Th Edition Instructors
Solutions Manual
Instructors Solution Manual, Static- Meriam and L. G. Kraige
Instructor's Solutions Manual - Marion, Thornton - Classical Dynamics
of Particles and Systems, 5th ed!!!!!!!!!!
Introduction To Algorithms 2Nd Edition Solutions(Instructor's.Manual)
Introduction to Probability - Solutions Manual
Dorf-Svaboda-Solution manual for Introduction to electric circuits 6th
edition
Juvinall, Marshek - Fundamentals of Machine Component Design, 3rd ed -
Student Solutions Manual
McgrawHill - William H. Hayt, John A. Buck - Engineering
Electromagnetics, 6th Edition Solutions Manual !!!!!!!!!!!!!!
Microwave Engineering 3e - David M Pozar - Solutions Manual
Microwave Engineering 3E - David M Pozar - Solutions Manual
Munson - Young - Okiishi
Operating Systems Concepts 6th SOLUTIONS MANUAL !!!
Physical Chemistry 7ed - Peter Atkins - Julio de Paula - instructors
solution manual
Physics For Scientists And Engineers 6E By Serway And Jewett -
Solutions Manual Vol 2
Proakis J. (2002) Communication Systems Engineering - Solutions Manual
(299s)
Probability and Statistics for Engineering and the Sciences by Jay L.
Devore
Probability Random Variables and Stochastic Processes Solutions
Manual.Papoulis.McGraw Hill.2002
Schaums Mathematical Handbook of Formulas and Tables
Signal Processing and Linear Systems - B P Lathi - Solutions Manual
Solution Manual to engineering fluid mechanics 7e
Solution To Two-Dimensional Incompressible Navier-Stokes Equations-
Maciej Matyka
Thomas' Calculus, Early Trascendentals 10th ed Instructors Solutions
Manual
Wankat & Oreovicz - Teaching Engineering
Wiley - Pozar - Microwave Engineering 3ed - Solutions Manual
Wiley Chemical And Engineering Thermodynamics 3Ed Solutions Manual
Zwillinger D. et al - CRC Standard Probability and Statistic Tables
and Formulae (1999)
[Solutions Manual] Fundamental os Heat and Mass Transfer [Frank P.
Incropera - David P.DeWitt] ANOTHER EDITION
Halliday, Resnick- Fundamentals Of Physics (7Th Ed)- Solutions
DigitalComm_Fundamentals_App_Solution_Manual.pdf
u can email and tell me which u want at epictheman@yahoo.com .All
payments are via paypal only and one solution manual will cost you US
$10
if u email the name of the book whose solutions u want i will reply
bak to u
==============================================================================
TOPIC: why is probability and statistics a hard subject?
http://groups.google.com/group/sci.stat.math/browse_thread/thread/35284645dd365175?hl=en
==============================================================================
== 1 of 10 ==
Date: Thurs, Nov 8 2007 5:38 am
From: Paige Miller
On Nov 8, 2:11 am, "Nasser Abbasi" <n...@12000.org> wrote:
> I am taking a course in probability and statistics now. It is at the level
> of upper division / first year graduate.
>
> This is the hardest course I have ever taken so far, Yet, I am not sure why
> it is hard.
>
> Looking at the math on its own, it is hard, but manageable, upper level
> calculus I would say. But for some reason, I find the whole subject hard to
> do well at.
>
> May be it requires more experience? more insight? more problem solving
> practice? I do not think it is the math skills which is the problem, I think
> there is something inherently hard about solving problems in probability and
> statistics, which is hard for me to pint point.
>
> I was wondering if others have felt the same way about this subject. And if
> you have, did it become easy for you later on? and how did this happen?
>
> Nasser
Nasser, I don't know you personally, and so I don't know what is in
your brain that makes it hard. But you are not alone. Many people
simply don't get it. I suppose its really no different than people who
don't understand high school geometry, there are many of those people
as well, and it may seem trite to say that some subjects "either you
understand it or you don't", but that is my experience. Some subjects
just don't click with some students ... there are other subjects that
I have trouble understanding and putting into practice.
Another problem I have found, and this may or may not be the case for
you, is that some statistics courses are poorly taught. When I was in
college, the statistics classes were sometimes taught by people who
were not trained in statistics. This results in a situation where
students find it is difficult to learn. A colleague of mine (not a
statistician) once said that statistics was the most poorly taught
class in her entire college experience. Certainly not all classes are
poorly taught, but some undoubtedly are.
The last issue might be your mathematical background. Since you say
the math is manageable, then maybe that's not your problem, but some
people enter statistics courses with a poor handle on the relevant
mathematics, and those people will have a very difficult time
understanding and using statistics.
--
Paige Miller
paige\dot\miller \at\ kodak\dot\com
== 2 of 10 ==
Date: Thurs, Nov 8 2007 6:28 am
From: Gus Gassmann
On Nov 8, 1:38 pm, Paige Miller <paige.mil...@kodak.com> wrote:
> On Nov 8, 2:11 am, "Nasser Abbasi" <n...@12000.org> wrote:
>
>
>
>
>
> > I am taking a course in probability and statistics now. It is at the level
> > of upper division / first year graduate.
>
> > This is the hardest course I have ever taken so far, Yet, I am not sure why
> > it is hard.
>
> > Looking at the math on its own, it is hard, but manageable, upper level
> > calculus I would say. But for some reason, I find the whole subject hard to
> > do well at.
>
> > May be it requires more experience? more insight? more problem solving
> > practice? I do not think it is the math skills which is the problem, I think
> > there is something inherently hard about solving problems in probability and
> > statistics, which is hard for me to pint point.
>
> > I was wondering if others have felt the same way about this subject. And if
> > you have, did it become easy for you later on? and how did this happen?
>
> > Nasser
>
> Nasser, I don't know you personally, and so I don't know what is in
> your brain that makes it hard. But you are not alone. Many people
> simply don't get it. I suppose its really no different than people who
> don't understand high school geometry, there are many of those people
> as well, and it may seem trite to say that some subjects "either you
> understand it or you don't", but that is my experience. Some subjects
> just don't click with some students ... there are other subjects that
> I have trouble understanding and putting into practice.
>
> Another problem I have found, and this may or may not be the case for
> you, is that some statistics courses are poorly taught. When I was in
> college, the statistics classes were sometimes taught by people who
> were not trained in statistics. This results in a situation where
> students find it is difficult to learn. A colleague of mine (not a
> statistician) once said that statistics was the most poorly taught
> class in her entire college experience. Certainly not all classes are
> poorly taught, but some undoubtedly are.
>
> The last issue might be your mathematical background. Since you say
> the math is manageable, then maybe that's not your problem, but some
> people enter statistics courses with a poor handle on the relevant
> mathematics, and those people will have a very difficult time
> understanding and using statistics.
>
> --
> Paige Miller
> paige\dot\miller \at\ kodak\dot\com- Hide quoted text -
>
> - Show quoted text -
I think there is more to it, yet. I teach a stats course to business
students. Mathematically inclined students are often intimidated by
the fact that there are no absolute answers. ("What do you mean, you
are 95% confident. Don't you know for sure?") Not so mathematically
inclined students get lost when I have to explain to them that there
are several "means" and that the sample mean can have an expected
value. To try to get them to understand that z = (x - E(x))/s(x) is a
universal formula with multiple applications is a lost cause. They try
to memorize a different standardization formula for seventeen special
cases, which they invariably do not recognize properly. I believe
statistics is inherently difficult. The philosophy behind a hypothesis
test, for instance, is quite sophisticated.
== 3 of 10 ==
Date: Thurs, Nov 8 2007 8:04 am
From: Old Mac User
On Nov 8, 2:11 am, "Nasser Abbasi" <n...@12000.org> wrote:
> I am taking a course in probability and statistics now. It is at the level
> of upper division / first year graduate.
>
> This is the hardest course I have ever taken so far, Yet, I am not sure why
> it is hard.
>
> Looking at the math on its own, it is hard, but manageable, upper level
> calculus I would say. But for some reason, I find the whole subject hard to
> do well at.
>
> May be it requires more experience? more insight? more problem solving
> practice? I do not think it is the math skills which is the problem, I think
> there is something inherently hard about solving problems in probability and
> statistics, which is hard for me to pint point.
>
> I was wondering if others have felt the same way about this subject. And if
> you have, did it become easy for you later on? and how did this happen?
>
> Nasser
Regardless of the course title, "statistics" is taught in diverse ways
by diverse people in diverse environments. A non-statistician
teaching "statistics" in an engineering department will almost
certainly teach in a fashion that's very different from another non-
statistician who lives in a social sciences environment or medical
environment. To make matters worse, some teach from the viewpoint
"here's some great software... now I'll show you how to use it. As one
poster has rightly said, hypothesis testing rests upon some deep
concepts. In the hands of a skilled instructor, most people can "get
it". Taught by an amateur it turns into a bunch of equations, rules,
and "be careful of this" footnotes.
As a rough overview (and I know that all will not agree with this" the
"statistics story" usually follows this path. (1) Tell me what
physical system you are working with (cards, dice, colored balls in an
urn, etc.) and I'll tell you the probability of the occurrence of
certain events. Then a sudden switch to (2)... give me some data and
how it came to be and I'll tell you the probability that those data
came from a certain circumstance. That circumstance is usually founded
on "the null hypothesis" (an expression I have not used in the past
50+ years of teaching!! There are better ways to say it.). Oftentimes
the instructor moves from (1) to (2) without a clear warning that a
major change in happening at this point.
Go to "Is Statistics Hard?"
http://www.tufts.edu/~gdallal/hard.htm
for a more professional comment on this. OMU
== 4 of 10 ==
Date: Thurs, Nov 8 2007 8:41 am
From: "Kenneth M. Lin"
"Nasser Abbasi" <nma@12000.org> wrote in message
news:sEyYi.940$ck5.239@newsfe09.phx...
>I am taking a course in probability and statistics now. It is at the level
>of upper division / first year graduate.
>
> This is the hardest course I have ever taken so far, Yet, I am not sure
> why it is hard.
>
> Looking at the math on its own, it is hard, but manageable, upper level
> calculus I would say. But for some reason, I find the whole subject hard
> to do well at.
>
> May be it requires more experience? more insight? more problem solving
> practice? I do not think it is the math skills which is the problem, I
> think there is something inherently hard about solving problems in
> probability and statistics, which is hard for me to pint point.
>
> I was wondering if others have felt the same way about this subject. And
> if you have, did it become easy for you later on? and how did this
> happen?
>
> Nasser
>
Based on my personal experience, many intro stat courses are taught by
non-statisticians that emphasize "plugging in numbers into the formulas"
without any insight into why. Looking back, I was shocked at how much I
struggled with simple probability problems because the teachers failed to
explain even simple concepts such as independent events.
When I was a teaching assistant I was reprimanded for suggesting that the
students read the textbook and the department sided with the lecturer.
== 5 of 10 ==
Date: Thurs, Nov 8 2007 9:08 am
From: Robert Dodier
On Nov 8, 7:28 am, Gus Gassmann <Horand.Gassm...@dal.ca> wrote:
> The philosophy behind a hypothesis test, for instance,
> is quite sophisticated.
Yet the sophistication is beside the point.
The difficulty of hypothesis testing is entirely an
artifact of its authors (Fisher, Neyman, etc) having
thrown out the machinery that would make it comprehensible.
One can succeed at it, but it is more than a little like
riding a bicycle backwards, or walking 1000 miles while
balancing an egg on one's head.
Robert Dodier
== 6 of 10 ==
Date: Thurs, Nov 8 2007 10:07 am
From: hrubin@odds.stat.purdue.edu (Herman Rubin)
In article <sEyYi.940$ck5.239@newsfe09.phx>,
Nasser Abbasi <nma@12000.org> wrote:
>I am taking a course in probability and statistics now. It is at the level
>of upper division / first year graduate.
>This is the hardest course I have ever taken so far, Yet, I am not sure why
>it is hard.
>Looking at the math on its own, it is hard, but manageable, upper level
>calculus I would say. But for some reason, I find the whole subject hard to
>do well at.
>May be it requires more experience? more insight? more problem solving
>practice? I do not think it is the math skills which is the problem, I think
>there is something inherently hard about solving problems in probability and
>statistics, which is hard for me to pint point.
Knowing how to calculate solutions of formulated
problems is the least important part of both the
mathematics and probability aspects. It is
understanding the concepts.
Do you understand what limit is, what derivative
is, what integral is (NOT the inverse of derivative)?
Being able to produce the definition is not enough;
one needs to be able to use the concepts in situations
which have not been taught.
The same holds for probability; it does not start with
relative frequency, or with binomial coefficients, or
with the consideration of equally likely events.
Try to understand the ideas, not memorize formulas and
guess which one to use.
>I was wondering if others have felt the same way about this subject. And if
>you have, did it become easy for you later on? and how did this happen?
>Nasser
--
This address is for information only. I do not claim that these views
are those of the Statistics Department or of Purdue University.
Herman Rubin, Department of Statistics, Purdue University
hrubin@stat.purdue.edu Phone: (765)494-6054 FAX: (765)494-0558
== 7 of 10 ==
Date: Thurs, Nov 8 2007 12:02 pm
From: Robert Dodier
On Nov 8, 9:04 am, Old Mac User <chendrixst...@yahoo.com> wrote:
> give me some data and how it came to be and I'll
> tell you the probability that those data came from
> a certain circumstance.
It is quite revealing that you have stated a general
problem in terms of a quantity ("the probability that
those data came from a certain circumstance") which
does not exist, according to conventional frequentism.
Everybody is really a Bayesian, even you.
> Go to "Is Statistics Hard?"
> http://www.tufts.edu/~gdallal/hard.htm
> for a more professional comment on this.
A classic statement of the needlessly convoluted logic
surrounding hypothesis tests. It's useful to read it,
if only to know what to steer away from.
Robert Dodier
== 8 of 10 ==
Date: Thurs, Nov 8 2007 2:55 pm
From: Old Mac User
On Nov 8, 3:02 pm, Robert Dodier <robert.dod...@gmail.com> wrote:
> On Nov 8, 9:04 am, Old Mac User <chendrixst...@yahoo.com> wrote:
>
> > give me some data and how it came to be and I'll
> > tell you the probability that those data came from
> > a certain circumstance.
>
> It is quite revealing that you have stated a general
> problem in terms of a quantity ("the probability that
> those data came from a certain circumstance") which
> does not exist, according to conventional frequentism.
> Everybody is really a Bayesian, even you.
>
> > Go to "Is Statistics Hard?"
> >http://www.tufts.edu/~gdallal/hard.htm
> > for a more professional comment on this.
>
> A classic statement of the needlessly convoluted logic
> surrounding hypothesis tests. It's useful to read it,
> if only to know what to steer away from.
>
> Robert Dodier
This...
> give me some data and how it came to be and I'll
> tell you the probability that those data came from
> a certain circumstance.
was really an unfortunate choice of words... my fault.
Better... but still imperfect... "give me some data and how it came to
be
and I'll tell you those data did not come from certain
circumstances... with
probabilities attached thereto.
== 9 of 10 ==
Date: Thurs, Nov 8 2007 8:32 pm
From: Richard Ulrich
On Wed, 7 Nov 2007 23:11:14 -0800, "Nasser Abbasi" <nma@12000.org>
wrote:
> I am taking a course in probability and statistics now. It is at the level
> of upper division / first year graduate.
>
> This is the hardest course I have ever taken so far, Yet, I am not sure why
> it is hard.
>
> Looking at the math on its own, it is hard, but manageable, upper level
> calculus I would say. But for some reason, I find the whole subject hard to
> do well at.
>
> May be it requires more experience? more insight? more problem solving
> practice? I do not think it is the math skills which is the problem, I think
> there is something inherently hard about solving problems in probability and
> statistics, which is hard for me to pint point.
Like some other repliers, I suspect that your teacher is not
a thoroughly "good statistician", or you would not feel this way.
One of the basics is to learn the vocabulary. Are you paying
close attention to definitions?
For a different sort of introduction to the "problem solving,"
maybe you could take a look at S. Siegel's 1956 book on
Nonparametric Statistics. (After 30 years, a newer edition
came out, with a co-author; but you don't need the newer
version for this exercise). The book does not touch the calculus
part, I think. It is organized as a "cookbook" of problems
with so-many groups; and dichotomous or ranked data,
which may or may not be "matched data."
It will introduce you to much vocabulary, and might provide
a substantial framework.
Another suggestion, for figuring out "what's it all about" - find
SM Stigler's books on the history of statistics, like "History of
Statistics. The measurement of uncertainty before 1900."
>
> I was wondering if others have felt the same way about this subject. And if
> you have, did it become easy for you later on? and how did this happen?
>
I know that I was interested in research results before I ever
learned much statistics. So, what I was learning seemed useful.
I also discovered, along the way, that when I could not follow
a particular textbook, it might help a LOT to find a similar book
(same shelf in the library) and browse it, for an alternate
introduction.
If you don't know how these results are ever used, it might
also be helpful to find a book like "Readings in Statistics in XXX",
for whatever XXX is your field.
--
Rich Ulrich, wpilib@pitt.edu
http://www.pitt.edu/~wpilib/index.html
== 10 of 10 ==
Date: Thurs, Nov 8 2007 8:56 pm
From: "Nasser Abbasi"
"Richard Ulrich" <Rich.Ulrich@comcast.net> wrote in message
news:kqm7j355u5esbdgn0ql5ebodet07fapr5s@4ax.com...
>
> Like some other repliers, I suspect that your teacher is not
> a thoroughly "good statistician", or you would not feel this way.
>
Actually my professor is distinguished in the field of probability and
statistics. He is a known expert in this field with many scientific
publications. I myself just find the subject more slippery than other
subjects. I think probability and statistics simply requires more time to
sink in than any other subject. This subject simply requires more experience
and practice to become good at it, or it may be simply that I was not born
to be a statistician. I think people who are really good at this must have
their brains wired differently than the rest of us :)
> One of the basics is to learn the vocabulary. Are you paying
> close attention to definitions?
>
I try to, but more diagrams and pictures would help. Our textbook does not
have too many of these.
> For a different sort of introduction to the "problem solving,"
> maybe you could take a look at S. Siegel's 1956 book on
> Nonparametric Statistics. (After 30 years, a newer edition
> came out, with a co-author; but you don't need the newer
> version for this exercise). The book does not touch the calculus
> part, I think. It is organized as a "cookbook" of problems
> with so-many groups; and dichotomous or ranked data,
> which may or may not be "matched data."
>
> It will introduce you to much vocabulary, and might provide
> a substantial framework.
>
Ok, I'll look it up. I just ordered a book called "Applied Statistics
Algorithms by P. Griffiths " here is the amazon link
http://www.amazon.com/gp/product/0130379875/002-5270856-0528819
I like to see algorithms of things. It helps me to understand something when
I see the steps needed to solve it. My brain is more mechanical in a way.
> Another suggestion, for figuring out "what's it all about" - find
> SM Stigler's books on the history of statistics, like "History of
> Statistics. The measurement of uncertainty before 1900."
>
ok, thanks, I'll try to look it up also.
Nasser
who has too many books and too little time to read them all.
==============================================================================
TOPIC: First Four Term Sequence
http://groups.google.com/group/sci.stat.math/browse_thread/thread/399ae5dd52666864?hl=en
==============================================================================
== 1 of 1 ==
Date: Thurs, Nov 8 2007 6:39 am
From: Gearhead
A_1=-3,A_n=(-2)*a_n-1;n=2,3,4,
==============================================================================
TOPIC: Formulating a statistical model of tool runtimes
http://groups.google.com/group/sci.stat.math/browse_thread/thread/bfe20692456aab6f?hl=en
==============================================================================
== 1 of 1 ==
Date: Thurs, Nov 8 2007 7:53 am
From: Gus Gassmann
On Nov 8, 4:23 am, ssir...@gmail.com wrote:
> Hi,
> I work as a graduate student in computer science, and I am
> interested in developing a model to estimate runtimes for a particular
> tool I am using. For each run of the tool, I have available to me
> several attributes about the program ( lines of code, number of loops,
> etc) Let's say I have information about N attributes. I have run a
> number of programs through my tool and have generate tool runtimes for
> those programs. What I want to be able to do (if possible) is to
> estimate the runtime of the program using only the information I have
> a priori ( lines of code, number of loops, etc). I have a feeling
> there are some statistical techniques that will enable to capture of
> model of the runtime of the program based on these known attributes,
> and was hoping someone might be able to point me in the right
> direction for creating such a model. Thanks for your help,
Your first step should probably be some exploratory data analysis,
starting with some plots. How do you see the runtimes increase with
the number of lines of code, for instance? Is there an apparent linear
or nonlinear relationship? Same for other relationships. Then you
should formulate a theoretical model, something like
runtime = f(attribute_1, attribute_2,...,attribute_N) + error
In all likelihood your first model will be linear
runtime = a_0 + a_1*attribute_1 +a_2*attribute_2 +...+ a_N*attribute_N
+ error
You estimate the coefficients using a regression package and... Bob's
your uncle. Details about this ought to be in pretty much any
introductory stats book.
Cheers
==============================================================================
TOPIC: Induce Correlation
http://groups.google.com/group/sci.stat.math/browse_thread/thread/2d018b97a83750d5?hl=en
==============================================================================
== 1 of 2 ==
Date: Thurs, Nov 8 2007 8:11 am
From: eladaway@gmail.com
Thanks guys for the input !
However, I need to induce/impose correlation between multi variables
(around 8) not only 2.
Also, I need to that in excel suings its commands.
I would really appreciate your suport in this matter.
thanks
== 2 of 2 ==
Date: Thurs, Nov 8 2007 1:59 pm
From: Jack Tomsky
> Thanks guys for the input !
>
> However, I need to induce/impose correlation between
> multi variables
> (around 8) not only 2.
>
> Also, I need to that in excel suings its commands.
>
> I would really appreciate your suport in this matter.
>
> thanks
>
Let's say that you want a set of rvs Z1, ..., Z8 whose specified covariance matrix is SIGMA, which is 8 by 8. Factor SIGMA into TT', where T is lower triangular. The nonzero elements of T can be obtained recursively.
Let Y1, ..., Y8 be uncorrelated and have variances all equal to one. Then calculate Z = TY.
Z will have covariance matrix TT', which is the specified SIGMA.
As far as Excel is concerned, adding multivariate normality, you can generate 8 uniform random numbers U1, ..., U8. For each Ui, calculate Yi = NORMSINV(Ui). These Yi will have variances of one and will be uncorrelated.
After specifiying SIGMA, you can obtain the equations for the nonzero elements of T algebraically or perhaps find them in a book. Then you can use the matrix multiplication function in Excel to multiply T by Y.
Jack
==============================================================================
TOPIC: Induced Multi Correlation
http://groups.google.com/group/sci.stat.math/browse_thread/thread/1588f3e417da784f?hl=en
==============================================================================
== 1 of 1 ==
Date: Thurs, Nov 8 2007 8:13 am
From: eladaway@gmail.com
Hello All,
I need to induce/impose correlation between multi variables (around 8)
not only 2. Also, I need to do that in excel using its commands.
I would really appreciate your suport in this matter.
Thanks
==============================================================================
TOPIC: how to obtain prior
http://groups.google.com/group/sci.stat.math/browse_thread/thread/d20d54c8c6cf8e40?hl=en
==============================================================================
== 1 of 1 ==
Date: Thurs, Nov 8 2007 9:45 am
From: hrubin@odds.stat.purdue.edu (Herman Rubin)
In article <1194462402.820693.13550@v3g2000hsg.googlegroups.com>,
bahoo <b83503104@yahoo.com> wrote:
>Hi,
>To use an informative prior for a multinomial distribution, does the
>following make sense?
>1. Start with a uniform prior.
>2. Compute the posterior.
>3. The posterior is filtered by a signal processing method. The
>outcome of the method is used to build a new prior, which is NOT
>uniform.
>4. Go to step 2.
>Thanks!
>bahoo
There prior should come from the user's ASSUMPTIONS,
and not from the distribution of the data. However,
there is the idea of robustness if one is unsure of
the prior, and this is a tricky subject. It is not
the case that robustness is merely a function of how
close the assumed prior is to the true prior as a
distribution, and is highly asymmetric.
--
This address is for information only. I do not claim that these views
are those of the Statistics Department or of Purdue University.
Herman Rubin, Department of Statistics, Purdue University
hrubin@stat.purdue.edu Phone: (765)494-6054 FAX: (765)494-0558
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