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Statistical Data Analysis by Glen Cowan (English) Hardcover Book

soarrcon1
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US $77.04
ApproximatelyC $106.00
Condition:
Good
“Has some wear, but is still very readable.”
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Located in: Salt Lake City, Utah, United States
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eBay item number:254596973076
Last updated on Jun 06, 2024 16:25:28 EDTView all revisionsView all revisions

Item specifics

Condition
Good
A book that has been read but is in good condition. Very minimal damage to the cover including scuff marks, but no holes or tears. The dust jacket for hard covers may not be included. Binding has minimal wear. The majority of pages are undamaged with minimal creasing or tearing, minimal pencil underlining of text, no highlighting of text, no writing in margins. No missing pages. See the seller’s listing for full details and description of any imperfections. See all condition definitionsopens in a new window or tab
Seller Notes
“Has some wear, but is still very readable.”
ISBN-13
9780198501565
ISBN
9780198501565

About this product

Product Identifiers

Publisher
Oxford University Press, Incorporated
ISBN-10
0198501560
ISBN-13
9780198501565
eBay Product ID (ePID)
1102035

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
Author
Glen Cowan
Format
Hardcover

Dimensions

Item Height
0.6 in
Item Weight
16.2 Oz
Item Length
9.2 in
Item Width
6.1 in

Additional Product Features

Intended Audience
College Audience
LCCN
98-014554
Dewey Edition
21
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, "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
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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