Statistics in theory and practice /
Robert Lupton.
- Princeton, N.J. : Princeton University Press, c1993.
- x, 188 p. : ill. ; 25 cm.
Includes bibliographical references (p. 130-131) and indexes.
Introduction Preliminaries Some common probability distributions Distributions related to the Gaussian Sampling Distributions of sample statistics Bayes' theorem and maximum likelihood Confidence intervals Hypothesis testing The theory of maximum likelihood estimators Least squares fitting for linear models Hypothesis testing in the linear model Rank correlation coefficients Tests of fit Robust tests for means
Aimed at readers without a specialist scientific background, this monograph describes the theory underlying classical statistical methods. Readers with some familiarity of the standard tests will learn more about their strengths, weaknesses and domains of applicability