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Introduction to the theory of statistics

By: Contributor(s): Material type: TextTextSeries: McGraw-Hill series in probability and statisticsPublication details: New Delhi : Tata McGraw-Hill, [1973, c1974]Edition: 3d edDescription: xvi, 564 p. illusISBN:
  • 9780070445208
Subject(s): DDC classification:
  • 519.5 MOO
Contents:
1 probability 2 Random variables, distribution functions, and expectation 3 Special parametric families of univariate distributions 4 Joint and conditional distributions, stochastic independence, more expectation 5 Distributions of functions of random variables 6 Sampling and sampling distributions 7 Parametric point estimation 8 Parametric interval estimation 9 Tests of hypotheses 10 Linear models 11 Nonparametric method Appendix A Mathematical Addendum Appendix B tabular summary of parametric families of distributions Appendix C References and related reading Appendix D Tables
Summary: A self contained introduction to classical statistical theory. The material is suitable for students who have successfully completed a single year's course in calculus with no prior knowledge of statistics or probability.
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Item type Current library Collection Call number Status Date due Barcode Item holds
Lending Books Lending Books Main Library Stacks Reference 519.5 MOO (Browse shelf(Opens below)) Checked out 11/04/2025 015912
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Includes index.

1 probability 2 Random variables, distribution functions, and expectation 3 Special parametric families of univariate distributions 4 Joint and conditional distributions, stochastic independence, more expectation 5 Distributions of functions of random variables 6 Sampling and sampling distributions 7 Parametric point estimation 8 Parametric interval estimation 9 Tests of hypotheses 10 Linear models 11 Nonparametric method Appendix A Mathematical Addendum Appendix B tabular summary of parametric families of distributions Appendix C References and related reading Appendix D Tables

A self contained introduction to classical statistical theory. The material is suitable for students who have successfully completed a single year's course in calculus with no prior knowledge of statistics or probability.

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