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. Third revised edition.
Table of 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
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
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