The Hyper‐Negative Binomial Distribution
Copyright policy )The Hyper‐Negative Binomial Distribution
AbstractA generalized family of the negative binomial distribution is introduced in a paper by Srivastava, Yousry and Ahmed (1986). It is a solution of the difference equation equation image and is called the hyper‐negative binomial distribution. Certain properties including the moments of the distribution are presented. Moment estimators of the parameters are obtained and goodness of fit is illustrated for chromatid aberration data.
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- The Ohio State University United States
generalized negative hypergeometric, chromatid, Characterization and structure theory of statistical distributions, Point estimation, aberrations, hyper- negative binomial distribution, moments, Moment estimators, Additive difference equations, Applications of statistics to biology and medical sciences; meta analysis
generalized negative hypergeometric, chromatid, Characterization and structure theory of statistical distributions, Point estimation, aberrations, hyper- negative binomial distribution, moments, Moment estimators, Additive difference equations, Applications of statistics to biology and medical sciences; meta analysis
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