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Statistical Data Analysis, Paperback by Cowan, Glen.
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- Buy It NowStatistical Data Analysis, Paperback by Cowan, Glen.
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About this item
Seller assumes all responsibility for this listing.
eBay item number:226604168779
Item specifics
- Condition
- Book Title
- Statistical Data Analysis
- ISBN
- 9780198501558
- Subject Area
- Mathematics, Science
- Publication Name
- Statistical Data Analysis
- Publisher
- Oxford University Press, Incorporated
- Item Length
- 9.3 in
- Subject
- Probability & Statistics / General, Physics / General
- Publication Year
- 1998
- Type
- Textbook
- Format
- Uk-Trade Paper
- Language
- English
- Item Height
- 0.5 in
- Item Weight
- 11.2 Oz
- Item Width
- 6.1 in
- Number of Pages
- 212 Pages
About this product
Product Identifiers
Publisher
Oxford University Press, Incorporated
ISBN-10
0198501552
ISBN-13
9780198501558
eBay Product ID (ePID)
1101826
Product Key Features
Number of Pages
212 Pages
Publication Name
Statistical Data Analysis
Language
English
Publication Year
1998
Subject
Probability & Statistics / General, Physics / General
Type
Textbook
Subject Area
Mathematics, Science
Format
Uk-Trade Paper
Dimensions
Item Height
0.5 in
Item Weight
11.2 Oz
Item Length
9.3 in
Item Width
6.1 in
Additional Product Features
Intended Audience
Scholarly & Professional
LCCN
98-014554
Reviews
"The material presented in this book is dense.In less than two hundred pages, it takes the reader from the basic notions of probability, through neural networks, Monte Carlo methods, and regularization techniques." Short Book Reviews, "I believe the author did an admirable job in presenting a wealth of material in a limited space." --W. Jason Owen, Technometrics, August 2000, Vol 42, No 3 Noted inQuarterly of Applied Mathematics, Vol LVIII, June 2000, No. 2, "Glen Cowan is a particle physicist who seems to have got everything right. Results are stated clearly, without mathematical proof but with enough explanation to satisfy the physicist's need to understand not only how, but also why...Those teaching an advanced undergraduate or graduate course in statistics or physicists will find this a good textbook...Do not be fooled by the fact that it does not have the "textbook look" - the exercises have been madeavailable separately on a Web site. " CERN Courier"The material presented in this book is dense.In less than two hundred pages, it takes the reader from the basic notions of probability, through neural networks, Monte Carlo methods, and regularization techniques." Short Book Reviews, "Glen Cowan is a particle physicist who seems to have got everything right. Results are stated clearly, without mathematical proof but with enough explanation to satisfy the physicist's need to understand not only how, but also why...Those teaching an advanced undergraduate or graduate coursein statistics or physicists will find this a good textbook...Do not be fooled by the fact that it does not have the "textbook look" - the exercises have been made available separately on a Web site. " CERN Courier, "I believe the author did an admirable job in presenting a wealth of material in a limited space." -- W. Jason Owen, Technometrics, August 2000, Vol 42, No 3Noted in Quarterly of Applied Mathematics, Vol LVIII, June 2000, No. 2, "I believe the author did an admirable job in presenting a wealth of material in a limited space." -- W. Jason Owen, Technometrics, August 2000, Vol 42, No 3 Noted in Quarterly of Applied Mathematics, Vol LVIII, June 2000, No. 2
Dewey Edition
21
Illustrated
Yes
Dewey Decimal
519.5
Table Of Content
PrefaceNotation1. Fundamental Concepts2. Examples of Probability Functions3. The Monte Carlo Method4. Statistical Tests5. General Concepts of Parameter Estimation6. The Method of Maximum Likelihood7. The Method of Least Squares8. The Method of Moments9. Statistical Errors, Confidence Intervals and Limits10. Characteristic Functions and Related Examples11. UnfoldingBibliographyIndex
Synopsis
This book is a guide to the practical application of statistics to data analysis in the physical sciences. It is primarily addressed at students and professionals who need to draw quantitative conclusions from experimental data. Although most of the examples are taken from particle physics, the material is presented in a sufficiently general way as to be useful to people from most branches of the physical sciences. The first part of the book describes the basic tools of data analysis: concepts of probability and random variables, Monte Carlo techniques, statistical tests, and methods of parameter estimation. The last three chapters then develop more advanced statistical ideas, focusing on interval estimation, characteristic functions, and correcting distributions for the effects of measurement errors (unfolding)., This book is a guide to the practical application of statistics in data analysis as typically encountered in the physical sciences. It is primarily addressed at students and professionals who need to draw quantitative conclusions from experimental data. Although most of the examples are taken from particle physics, the material is presented in a sufficiently general way as to be useful to people from most branches of the physical sciences. The first part of the book describes the basic tools of data analysis: concepts of probability and random variables, Monte Carlo techniques, statistical tests, and methods of parameter estimation. The last three chapters are somewhat more specialized than those preceding, covering interval estimation, characteristic functions, and the problem of correcting distributions for the effects of measurement errors (unfolding)., The book is a guide to the practical application of statistics in data analysis as typically encountered in the physical sciences. It is primarily addressed at students and researchers who work with experimental data. The topics include probability, random variables, Monte Carlo techniques, statistical tests, parameter estimation, and unfolding methods.
LC Classification Number
QA276.C658 1998
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