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This handbook provides quick access to common and specialized probability distributions for modeling practical problems and performing statistical calculations. This second edition enhances the PC calculator
StatCalc with electronic help manuals and now contains R functions for cases where
StatCalc is not applicable, with the codes
List of contents
StatCalc. Preliminaries. Discrete uniform distribution. Binomial distribution. Hypergeometric distribution. Poisson distribution. Geometric distribution. Negative binomial distribution. Logarithmic series distribution. Continuous uniform distribution. Normal distribution. Chi-square distribution.
F Distribution. Student's
t distribution. Exponential distribution. Gamma distribution. Beta distribution. Noncentral chi-square distribution. Noncentral
F distribution. Noncentral
t distribution. Laplace distribution. Logistic distribution. Lognormal distribution. Pareto distribution. Weibull distribution. Extreme value distribution. Cauchy distribution. Inverse Gaussian distribution. Rayleigh distribution. Bivariate normal distribution. Some nonparametric methods.
About the author
Kalimuthu Krishnamoorthy, Ph.D., is a professor of statistics and SLEMCO Professor of Science at the University of Louisiana at Lafayette. He is an elected fellow of the American Statistical Association and an associate editor of
Communications in Statistics. He has published more than 100 articles relating to small sample inference, multivariate analysis, fiducial inference, and statistical methods for exposure data analysis.
Summary
This handbook provides quick access to common and specialized probability distributions for modeling practical problems and performing statistical calculations. This second edition enhances the PC calculator StatCalc with electronic help manuals and now contains R functions for cases where StatCalc is not applicable, with the codes
