Statistics for physical sciences

Statistics for physical sciences: an introduction

by Martin, B. R., (Brian Robert)

Type Book
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"Statistics in physical sciences is principally concerned with the analysis of numerical data, so in Chapter 1 there is a review of what is meant by an experiment, and how the data that it produces are displayed and characterized by a few simple numbers"--

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Title Statements

  • Full title :Statistics for physical sciences : an introduction / B.R. Martin.

Summary

"Statistics in physical sciences is principally concerned with the analysis of numerical data, so in Chapter 1 there is a review of what is meant by an experiment, and how the data that it produces are displayed and characterized by a few simple numbers"--

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Edition Statements

  • Publication Date:2012.
  • Edition:1st ed

Publication Statements

  • Publisher(s):Academic Press
  • Place of Publication:Amsterdam
  • Language:eng
  • Publication Date:2012.

Notes

Machine generated contents note: 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.

The Physical Object

  • Description:x, 302 pages : : illustrations ; : 25 cm

Edition Identifiers

  • ISBN:9780123877604, 0123877601
  • oclc:ocn704379430
  • LC Classification:QC174.8
  • Dewey Decimal:519.5

Table of Contents

1. Statistics, experiments, and data -- 2. Probability -- 3. Probability distributions I : basic concepts -- 4. Probability distributions II : examples -- 5. Sampling and estimation -- 6. Sampling distributions associated with the normal distribution -- 7. Parameter estimation I : maximum likelihood and minimum variance -- 8. Parameter estimation II : least-squares and other methods -- 9. Interval estimation -- 10. Hypothesis testing I : parameters -- 11. Hypothesis testing II : other tests.

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