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Statistical Data Analysis

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Item specifics

Condition
Brand New: A new, unread, unused book in perfect condition with no missing or damaged pages. See the ...
Book Title
Statistical Data Analysis
ISBN
9780198501558
Publication Year
1998
Type
Textbook
Format
Uk-Trade Paper
Language
English
Publication Name
Statistical Data Analysis
Item Height
0.5in
Author
Glen Cowan
Item Length
9.3in
Publisher
Oxford University Press, Incorporated
Item Width
6.1in
Item Weight
11.2 Oz
Number of Pages
212 Pages

About this product

Product Information

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).

Product Identifiers

Publisher
Oxford University Press, Incorporated
ISBN-10
0198501552
ISBN-13
9780198501558
eBay Product ID (ePID)
1101826

Product Key Features

Author
Glen Cowan
Publication Name
Statistical Data Analysis
Format
Uk-Trade Paper
Language
English
Publication Year
1998
Type
Textbook
Number of Pages
212 Pages

Dimensions

Item Length
9.3in
Item Height
0.5in
Item Width
6.1in
Item Weight
11.2 Oz

Additional Product Features

Lc Classification Number
Qa276.C658 1998
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, "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, "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 3 Noted in Quarterly of Applied Mathematics, Vol LVIII, June 2000, No. 2
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, 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
Copyright Date
1998
Topic
Probability & Statistics / General, Physics / General
Lccn
98-014554
Dewey Decimal
519.5
Intended Audience
Scholarly & Professional
Dewey Edition
21
Illustrated
Yes
Genre
Science, Mathematics

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