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Statistical Data Analysis by Glen Cowan (English) Hardcover Book
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“Has some wear, but is still very readable.”
En buen estado
Libro que se ha leído pero que está en buen estado. Daños mínimos en la tapa, incluidas rozaduras, pero sin roturas ni agujeros. Es posible que no incluya sobrecubierta para tapas duras. Tapa muy poco desgastada. La mayoría de las páginas están en buen estado con muy pocas arrugas o roturas. El texto subrayado a lápiz es prácticamente inexistente, no hay texto resaltado ni anotaciones en los márgenes. No faltan páginas. Consulta el anuncio del vendedor para obtener más información y la descripción de cualquier posible imperfección.
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USD4,95 (aprox. 4,24 EUR) USPS First Class®.
Ubicado en: Salt Lake City, Utah, Estados Unidos
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Entrega prevista entre el mié. 3 sep. y el sáb. 6 sep. a 94104
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N.º de artículo de eBay:254596973076
Última actualización el 06 jun 2024 22:25:28 H.EspVer todas las actualizacionesVer todas las actualizaciones
Características del artículo
- Estado
- En buen estado
- Notas del vendedor
- “Has some wear, but is still very readable.”
- ISBN-13
- 9780198501565
- ISBN
- 9780198501565
Acerca de este producto
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
Subject
Probability & Statistics / General, Physics / General
Publication Year
1998
Type
Textbook
Subject Area
Mathematics, Science
Format
Hardcover
Dimensions
Item Height
0.6 in
Item Weight
17 Oz
Item Length
9.5 in
Item Width
6.4 in
Additional Product Features
Intended Audience
College Audience
LCCN
98-014554
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
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. UnfoldingBibliographyIndexPrefaceNotation1. 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 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)., 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)., 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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