旧书介绍Statistical Data Analysis (Oxford Science Publications)

热度 5已有 266 次阅读2010-8-29 00:20 |个人分类:基础科学

Statistical Data Analysis (Oxford Science Publications)
by: Glen Cowan
en

0198501552  9780198501558  9780198501565  0198501560

Statistical Data Analysis (Oxford Science Publications)
By Glen Cowan


•Publisher:  Oxford University Press, USA
•Number Of Pages:  216
•Publication Date:  1998-06-04
•ISBN-10 / ASIN:  0198501552
•ISBN-13 / EAN:  9780198501558


Product Description:

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).

Summary: Physicist's take on statistics
Rating: 5

This book is succint, 187 pages excluding the bibliography. It starts from scratch (no statistical background) introduces the relative frequency and Bayesian (subjective) interpretations of probability. Both viewpoints are given throughout the book, where appropriate. The last chapter is a very useful treatment of deconvolution in the presence of limited resolution of a measuring device, and it makes the connection to image restoration.

Time series analysis is not included.

The author's background is particle physics, and he works at CERN. Many examples come from that arena, but the presentation is definitely more accessible to an engineer, physicist or chemist than the numerous treatments by financial analysts and social scientists.


 


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