A parameterized mathematical function that provides the probabilities of different outcomes for a random variable is referred to as a statistical distribution. These distributions are applied to continuous, discrete, and bivariate random variables. Some of the most prominent statistical distributions are exponential, Erlang, gamma, beta, Weibull, normal, lognormal, left-truncated normal, right-truncated normal, triangular, discrete uniform, binomial, geometric and Pascal. The knowledge of statistical distributions is fundamental for researchers in almost all disciplines. Understanding 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 is also crucial. This book traces the progress of this field and highlights some of its key concepts and applications. Some of the diverse topics covered herein address the varied branches that fall under statistical distributions. This book will serve as a reference to a broad spectrum of readers.
A parameterized mathematical function that provides the probabilities of different outcomes for a random variable is referred to as a statistical distribution. These distributions are applied to continuous, discrete, and bivariate random variables. Some of the most prominent statistical distributions are exponential, Erlang, gamma, beta, Weibull, normal, lognormal, left-truncated normal, right-truncated normal, triangular, discrete uniform, binomial, geometric and Pascal. The knowledge of statistical distributions is fundamental for researchers in almost all disciplines. Understanding 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 is also crucial. This book traces the progress of this field and highlights some of its key concepts and applications. Some of the diverse topics covered herein address the varied branches that fall under statistical distributions. This book will serve as a reference to a broad spectrum of readers.
A new edition of the trusted guide on commonly used statistical distributions Fully updated to reflect the latest developments on the topic, Statistical Distributions, Fourth Edition continues to...
Over the last decade, statisticians have developed new statistical tools in the field of spatial point processes. At the same time, observational efforts have yielded a huge amount of new...
Although the study of statistical modelling has made great strides in recent years, the number and variety of distributions to choose from continue to create problems. . Focusing on techniques used...
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