Thomopoulos N.T. Statistical Distributions: Applications and Parameter Estimates

Springer International Publishing AG, 2017. — 176 p. — ISBN: 3319651110.This book gives a description of the group of statistical distributions that have ample application to studies in statistics and probability. Understanding statistical distributions is fundamental for researchers in almost all disciplines. The informed researcher will select the statistical distribution that best fits the data in the study at hand. Some of the distributions are well known to the general researcher and are in use in a wide variety of ways. Other useful distributions are less understood and are not in common use.
This book gives a description of the group of statistical distributions that have ample application to studies in statistics and probability. Understanding statistical distributions is fundamental for researchers in almost all disciplines. The informed researcher will select the statistical distribution that best fits the data in the study at hand. Some of the distributions are well known to the general researcher and are in use in a wide variety of ways. Other useful distributions are less understood and are not in common use. The book describes when and how to apply each of the distributions in research studies, with a goal to identify the distribution that best applies to the study. The distributions are for continuous, discrete, and bivariate random variables. In most studies, the parameter values are not known a priori, and sample data is needed to estimate parameter values. In other scenarios, no sample data is available, and the researcher seeks some insight that allows the estimate of the parameter values to be gained.Statistical Concepts
Continuous Uniform
Exponential
Erlang
Gamma
Beta
Weibull
Normal
Left Truncated Normal
Right Truncated Normal
Triangular
Discrete Uniform
Binomial
Geometric
Pascal
Poisson
Hyper Geometric
Bivariate Normal
Bivariate Lognormal