Mathematics of statistics: part two/ by J.F. Kenney and E.S. Keeping

Includes index

Probability -- The binomial distribution and the normal and Poisson approximations -- Some useful integrals and functions -- Distributions of two or more variables; moment-generating functions; the law of large numbers -- The gamma, Beta and Chi-Square distributions; the Pearson and Gram-Charlier systems of curves; curve fitting -- Fundamentals of sampling theory with special reference to the mean -- Small or exact sampling theory -- Linear regression, simple correlation and contingency -- Analysis of variance and covariance -- matrix algebra and the method of least squares -- Curvilinear regression; multiple and partial correlation -- Further considerations on statistical inference