This is a Nova Science Publication.

Univariate statistical distributions, with their basic properties, are an important part of advance statistics. The "Handbook on Univariate Statistical Distributions" includes most of the univariate statistical distributions that are used in practice. Author M. Ahsanullah has presented most of the common univariate discrete and continuous statistical distributions with their basic properties. For each distribution, most of the common basic properties-such as distribution functions, moments, and generating functions-are provided for easy reference. This information is integral to understanding and using these distributions.The first chapter includes definitions and concepts that are needed to study the distributions and some mathematical functions that are used in other chapters. Successive chapters include distributions and their generalized forms with basic properties and relations with other distributions. In addition, order statistics and record values are discussed for some of the distributions. The "Handbook on Univariate Statistical Distributions, " an excellent reference for researchers and practitioners who conduct in-depth statistical analysis, is the definitive guide to understanding the vitally important statistical distributions, designed with upper level undergraduate and graduate students in mind.

Given the popularity of statistical explanations in virtually every field of work, it is no wonder this collection of nine articles addresses such a range of topics, ranging from applications of classical stochastic processes to new approaches. Subjects include non-normal distributions that describe the Bayesian updating of atmospheric models, efficient uniform designs for mixture experiments in three and four components, designs of accelerated life tests for periodic inspection with Burr Type III distributions, parameter estimation using Cressie-Read divergence measures with exponential grouped censored data, estimation of variance components of acceleration degradation models, production of the ration of the symmetric differences of order statistics, surface roughness measurements acquired by spatial statistics, Diallel crosses, and the characterization of distributions by conditional expectations of functions of generalized order statistics. Some articles may not include classic rather than leading-edge approaches and data.