http://groups.google.com/group/sci.stat.math?hl=en
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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
* Sample Size - 4 messages, 3 authors
http://groups.google.com/group/sci.stat.math/browse_thread/thread/ff810bbd9cf63993?hl=en
* how to obtain prior - 2 messages, 2 authors
http://groups.google.com/group/sci.stat.math/browse_thread/thread/d20d54c8c6cf8e40?hl=en
* Expanding the statistical toolkit with algebraic statistics - 1 messages, 1
author
http://groups.google.com/group/sci.stat.math/browse_thread/thread/c3d60eba205eeeb6?hl=en
* MI5 Persecution: Neil Fox (Nov/1998) (1080) - 1 messages, 1 author
http://groups.google.com/group/sci.stat.math/browse_thread/thread/3858e2f655f7d6ae?hl=en
==============================================================================
TOPIC: solution manuals
http://groups.google.com/group/sci.stat.math/browse_thread/thread/e5182316ef9e0c07?hl=en
==============================================================================
== 1 of 1 ==
Date: Sat, Nov 10 2007 3:24 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
Computer Networks solutions andrew s tanenbaum
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: Sample Size
http://groups.google.com/group/sci.stat.math/browse_thread/thread/ff810bbd9cf63993?hl=en
==============================================================================
== 1 of 4 ==
Date: Sat, Nov 10 2007 4:46 am
From: "Nasser Abbasi"
"Proginoskes" <CCHeckman@gmail.com> wrote in message
news:1194677452.756563.73500@v29g2000prd.googlegroups.com...
> On Nov 9, 1:27 pm, Gregory <> wrote:
>> I have a bundle of files that I can be assessed as being either YES or
>> NO.
>>
>> Sometimes there are 300.
>>
>> Sometimes there are 2000
>>
>> Sometimes there are 10000
>>
>> How do you work out how many you need to sample to give an assessment
>> of the lot + or - x% accuracy? Is there a standard calculation? Does
>> anyone know of any websites that explain all that?
>
> You're looking for some kind of statistical method. I suspect this is
> a basic question. (Cross-posted to sci.stat.math for this reason;
> someone there can probably give you an answer without having to look
> it up.)
>
> --- Christopher Heckman
>
I think you can use the confidence interval for population propertion for
this problem.
The formula is this,
let n=sample size (>=20)
let p=propertion of YES to NO in the sample picked.
Then the propertion of YES to NO in the population is (with 95%
confidence) will be within
p +- 1.96 * Sqrt( p*(1-p)/n )
So to make p closer to the true population propertion, make n larger. The
large n is, the smaller the confidence interval is.
Nasser
== 2 of 4 ==
Date: Sat, Nov 10 2007 6:54 am
From: "Luis A. Afonso"
Date: Nov 10, 2007 7:46 AM
Author: Nasser Abbasi
Subject: Re: Sample Size
"Proginoskes" <CCHeckman@gmail.com> wrote in message news:1194677452.756563.73500@v29g2000prd.googlegroups.com... > On Nov 9, 1:27 pm, Gregory <> wrote: >> I have a bundle of files that I can be assessed as being either YES or>> NO. >> Sometimes there are 300. >> Sometimes there are 2000>> Sometimes there are 10000>> How do you work out how many you need to sample to give an assessment>> of the lot + or - x% accuracy? Is there a standard calculation? Does>> anyone know of any websites that explain all that? >> You're looking for some kind of statistical method. I suspect this is a basic question. (Cross-posted to sci.stat.math for this reason; > someone there can probably give you an answer without having to look> it up.) > --- Christopher Heckman
I think you can use the confidence interval for population propertion for this problem. The formula is this,
let n=sample size (>=20) let p=propertion of YES to NO in the sample picked. Then the propertion of YES to NO in the population is (with 95% confidence) will be within
p +- 1.96 * Sqrt( p*(1-p)/n )
So to make p closer to the true population propertion, make n larger. The large n is, the smaller the confidence interval is. Nasser
**************************************
OK!
One thing hat wasn't taken into account: the normal approximation behind the expression is pretty good as long as
________________n*p >5____n*(1-p)>5
which, for n=20, limits the proportion:
___________0.25 < p < 0.75
Large n these limits approach simultaneously to 0 and 1.
________
Luis A. Afonso
== 3 of 4 ==
Date: Sat, Nov 10 2007 6:43 pm
From: John Smith
Luis,
I have missed you. Why did you not post one of your stupid basic programs so that I could make fun of you.
I do not think you have ever answered a question with writing a stupid basic program.
Why don't you simulate your answer? Then I can have some fun.
Welcome back!
Let's have some fun.
John
== 4 of 4 ==
Date: Sat, Nov 10 2007 10:21 pm
From: "Nasser Abbasi"
"Proginoskes" <CCHeckman@gmail.com> wrote in message
news:1194677452.756563.73500@v29g2000prd.googlegroups.com...
> On Nov 9, 1:27 pm, Gregory <> wrote:
>> I have a bundle of files that I can be assessed as being either YES or
>> NO.
>>
>> Sometimes there are 300.
>>
>> Sometimes there are 2000
>>
>> Sometimes there are 10000
>>
>> How do you work out how many you need to sample to give an assessment
>> of the lot + or - x% accuracy? Is there a standard calculation? Does
>> anyone know of any websites that explain all that?
I've looked more into this, this shows how to solve for the sample size
itself.
You need to provide the margin of error you are willing to accept. Suppose
you want the estimate of the population propertion to be within say 0.1 of
the true proportion. i.e. you want to be within +- 10% of the actual
proportion in the population. Let this value be called B. Hence B=0.1
Next you need to provide the confidence level you want in this estimate
being within the above margin of error. Say you want to in the 95%
confidence level.
Next, assume that p=0.5 (This gives the largest sample size n, this value
will make it certain the sample size you obtain will be sufficient)
Hence the procedure to find n, is to simply solve for n from the following
equation
B =1.96 * SQRT( p^2 / n )
For example, for B=0.1, p=0.5, sample size n = 97
If you want the confidence level to be 90% you are within this margin of
error, then replace 1.96 about with 1.645, and you'll get sample size is 68.
So you see, sample size will become smaller if you are willing to reduce
your confidence level.
If you want to get 95% confidence level, but want smaller margin of error,
say B=0.07, then sample size will be 196
etc..
Nasser
==============================================================================
TOPIC: how to obtain prior
http://groups.google.com/group/sci.stat.math/browse_thread/thread/d20d54c8c6cf8e40?hl=en
==============================================================================
== 1 of 2 ==
Date: Sat, Nov 10 2007 6:30 pm
From: hrubin@odds.stat.purdue.edu (Herman Rubin)
In article <1194660193.829315.50060@o80g2000hse.googlegroups.com>,
bahoo <b83503104@yahoo.com> wrote:
>On Nov 8, 12:45 pm, hru...@odds.stat.purdue.edu (Herman Rubin) wrote:
>> In article <1194462402.820693.13...@v3g2000hsg.googlegroups.com>,
>> bahoo <b83503...@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.
>> --
>However, if the prior comes from another model, is it OK then?
>That is, one model uses the data to compute a posterior, then supplies
>it as a prior to another model. This seems to avoid the situation
>where a model uses the data twice.
How else should one combine experiments or observations?
Something which often helps is to use unnormalized
measures. Any conditional measure is a probability
measure, because one divides by the measure of the whole
space. But for most purposes, it is not necessary to make
the division, and for computing prior risks, it is
generally unwise, as one has to multiply by exactly what
one is using to divide.
There are other advantages to not normalizing, but one
should know what is being done. Also, for Bayes actions,
it is only the product of the prior and loss, and coherence
arguments do not require that they even be separated.
--
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
== 2 of 2 ==
Date: Sat, Nov 10 2007 8:12 pm
From: bahoo
On Nov 10, 9:30 pm, hru...@odds.stat.purdue.edu (Herman Rubin) wrote:
> In article <1194660193.829315.50...@o80g2000hse.googlegroups.com>,
>
>
>
> bahoo <b83503...@yahoo.com> wrote:
> >On Nov 8, 12:45 pm, hru...@odds.stat.purdue.edu (Herman Rubin) wrote:
> >> In article <1194462402.820693.13...@v3g2000hsg.googlegroups.com>,
> >> bahoo <b83503...@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.
> >> --
> >However, if the prior comes from another model, is it OK then?
> >That is, one model uses the data to compute a posterior, then supplies
> >it as a prior to another model. This seems to avoid the situation
> >where a model uses the data twice.
>
> How else should one combine experiments or observations?
>
> Something which often helps is to use unnormalized
> measures. Any conditional measure is a probability
> measure, because one divides by the measure of the whole
> space. But for most purposes, it is not necessary to make
> the division, and for computing prior risks, it is
> generally unwise, as one has to multiply by exactly what
> one is using to divide.
>
> There are other advantages to not normalizing, but one
> should know what is being done. Also, for Bayes actions,
> it is only the product of the prior and loss, and coherence
> arguments do not require that they even be separated.
>
I wonder if the last post is being addressed to the original post or
perhaps a different thread?
==============================================================================
TOPIC: Expanding the statistical toolkit with algebraic statistics
http://groups.google.com/group/sci.stat.math/browse_thread/thread/c3d60eba205eeeb6?hl=en
==============================================================================
== 1 of 1 ==
Date: Sat, Nov 10 2007 8:17 pm
From: Statistica Sinica
Dear all,
Our newly released theme articles on algebraic
statistics are now available at (please click on
Current Issue):
http://www.stat. sinica.edu. tw/statistica/ , or
http://www.claymath .org/programs/ cmiworkshops/ ascb/
There is also a historical review of this field by
Professor Stephen Fienberg. The review article can be
freely accessed by everyone at the above sites.
With all the best,
-- Michelle Liou, Co-Editor
------------ --------- --------- --------- --------- --------
*** Statistica Sinica endeavors to meet the needs of
statisticians faced with a rapidly changing world. It
publishes significant and original articles that promote the
principles use of statistics along with related theory and
methods in quantitative studies, essential to modern
technologies and sciences.
==============================================================================
TOPIC: MI5 Persecution: Neil Fox (Nov/1998) (1080)
http://groups.google.com/group/sci.stat.math/browse_thread/thread/3858e2f655f7d6ae?hl=en
==============================================================================
== 1 of 1 ==
Date: Sat, Nov 10 2007 7:49 pm
From: MI5Victim@mi5.gov.uk
Foxy's Showtime on Capital FM 25/11/98 7.35pm
Certainty level: 100%
This one, I can say with absolute certainty, is about me. It was recorded
on my Sony Recording Walkman on the evening of Wednesday 25 November 1998.
It doesn't mention me by name, so the objective observer might have trouble
understanding why I'm so sure it's about me. I'm sure, because the
harassment had restarted over the period when this piece was broadcast, and
what Capital transmitted would have been in context with events at the time.
(Sorry if that explanation is somewhat opaque, but I don't really want to
embarrass myself by giving an explanation in detail, and an intelligent
reader should be able to work it out for him/her self.)
This isn't the first time Capital have "got at" me; they were doing so
right at the very beginning in summer 1990, when they said, "if he listens
to Capital then he can't be all bad"; and Tarrant made remarks about me
in his breakfast show in spring 1994, when he said, "you know this bloke?
he says we're trying to kill him. We should be done for attempted
manslaughter."
Unfortunately I didn't record those previous, much more conclusive
instances of harassment by Capital DJs, and Capital Radio tells me they
only keep recordings for three months. But lately I've been recording
everything, and here is one product of that recording.
Neil Fox was introducing some petite Swedish songstress, sounded like
Amelia, when he said something about her petite-ness ;
"she's a big big girl, actually she's really about tiny, she's this big,
would you say what less than....."
then one of his studio staff shouted, "six inches"
then Fox laughed and said, "less than a meter tall, definitely"
What I think the "six inches" referred to should be obvious. I think it's
sexual abuse directed at me.
Also there were a lot of words like "crazy", "mad" etc on this programme,
which reinforced my belief that this was on purpose directed at myself.
I think Fox may be something of an unwilling participant in this abuse, he
doesn't want to be an abuser but the persecutors are using his show and
his staff to get at me. This is not the first time this sort of thing has
happened from his show; and my guess is that it won't be the last
1080
--
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