| 书目名称 | Statistical Distributions | | 副标题 | Applications and Par | | 编辑 | Nick T. Thomopoulos | | 视频video | | | 概述 | Includes 89 examples that help the reader apply the concepts presented.Explains how to compute cumulative probability for all distributions including Erlang, gamma, beta, Weibull, normal, and lognorma | | 图书封面 |  | | 描述 | 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, andthe researcher seeks some insight that allows the estimate of the parameter values to be gained..This handbook of statistical distributions provides a working knowledge of applying common and uncommon statistical distributions in research studie | | 出版日期 | Book 2017 | | 关键词 | bivariate normal; bivariate lognormal; Erlang; Weibull; distribution; left-truncated normal; right-truncat | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-319-65112-5 | | isbn_softcover | 978-3-319-87952-9 | | isbn_ebook | 978-3-319-65112-5 | | copyright | Springer International Publishing AG 2017 |
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发表于 2025-3-21 19:39:59
