Statistics for Physical Sciences: An Introduction

Hardcover (Print)

Overview

Statistical Methods for the Physical Sciencesis 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
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Editorial Reviews

From the Publisher

"Martin (physics and astronomy, U. College London) has produced an undergraduate textbook that is more thorough than the drivel of statistics that physical science students get - usually as part of some other course - but still not the full theoretical and practical treatment that most students do not have time for and most schools do not teach. He assumes a knowledge of calculus and matrices the level of first-year undergraduate physical science student."--Reference and Research Book News, Inc.

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Product Details

  • ISBN-13: 9780123877604
  • Publisher: Elsevier Science
  • Publication date: 2/2/2012
  • Edition description: New Edition
  • Pages: 320
  • Sales rank: 1,441,537
  • Product dimensions: 7.50 (w) x 9.40 (h) x 0.80 (d)

Table of Contents

Preface, Acknowledgements,Statistics, Experiments, and Data, Probability,Probability Distributions: Basic ConceptsProbability 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

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