Statistics for Physical Sciences
An Introduction
Published on 25. January 2012
320 pages
978-0-12-387765-9 (ISBN)
Description
Statistics for Physical Sciences is an informal, relatively short, but systematic, guide to the more commonly used ideas and techniques in statistical analysis, as used in physical sciences, together with explanations of their origins. It steers a path between the extremes of a recipe of methods with a collection of useful formulas, and a full mathematical account of statistics, while at the same time developing the subject in a logical way. The book can be read in its entirety by anyone with a basic exposure to mathematics at the level of a first-year undergraduate student of physical science and should be useful for practising physical scientists, plus undergraduate and postgraduate students in these fields.
- Offers problems at the end of each chapter
- Features worked examples across all of the chapters
- Provides a collection of useful formulas in order to give a detailed account of mathematical statistics
More details
Other editions
Additional editions
Book
02/2012
Academic Press
€59.41
Article exhausted; check for reprint
Person
Prof. Brian R. Martin graduated from Birmingham University with a BSc in Physics and then moved to University College London (1962-1965) to take a PhD in Theoretical Physics. He was a Ford Foundation Fellow at the Institute for Theoretical Physics, Copenhagen University, Copenhagen; a NATO Postdoctoral Fellowship at the Neils Bohr Institute, Copenhagen; and a Research Associate in the Physics Department of Brookhaven National Laboratory, New York. Returning to University College London, he served as a Lecturer, then a Reader and Professor, before becoming Head of Department (1993-2004). Professor Martin retired as Professor Emeritus in October 2005.
Content
Preface, Acknowledgements, Statistics, Experiments, and Data, Probability, Probability Distributions: Basic Concepts Probability Distributions: Examples, Sampling and Estimation, Sampling Distributions associated with the Normal Distribution, Point Estimation I: Maximum Likelihood, Point Estimation II: Least-Squares Method, Point Estimation III: Other Methods, Confidence Intervals and Regions, Hypothesis Testing, Appendices, Summary of Distribution Properties, Miscellaneous Mathematics, Orthogonal Polynomials, Optimization of Functions of Several Variables, Statistical Tables ,Solutions to Problems, Bibliography, Index
