Handbook of statistical distributions with applications

Presenting both common and specialized probability distribution models, as well as providing applications with practical examples, this book discusses specialized distributions, some nonparametric distributions, tolerance factors for a multivariate normal distribution, and the distribution of the sa...

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Bibliographic Details
Main Author: Krishnamoorthy, K. (Kalimuthu) (Author)
Format: Book
Language:English
Published: Boca Raton CRC Press, Taylor & Francis Group [2016]
Edition:Second edition
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Call Number :QA 273.6 .K75 2016

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100 1 |a Krishnamoorthy, K.  |q (Kalimuthu)  |e author 
245 1 0 |a Handbook of statistical distributions with applications  |c K. Krishnamoorthy 
250 |a Second edition 
264 1 |a Boca Raton  |b CRC Press, Taylor & Francis Group  |c [2016] 
264 4 |c ©2016 
300 |a xxvi, 398 pages  |b illustrations  |c 24 cm 
336 |a text  |2 rdacontent 
337 |a unmediated  |2 rdamedia 
338 |a volume  |2 rdacarrier 
504 |a Includes bibliographical references and index 
505 0 |a StatCalc -- Preliminaries -- Discrete uniform distribution -- Binomial distribution -- Hypergeometric distribution -- Poisson distribution -- Geometric distribution -- Negative binomial distribution -- Logarithmic series distribution -- Continous uniform distribution -- Normal distribution -- Ch-square distribution -- F distribution -- Strudent's t distribution -- Exponential distribution -- Gamma distribution -- Beta distribution -- Noncentral chi-square distribution -- Noncentral f distribution --Noncentral t distribution -- Laplace distribution -- Logistic distribution -- Lognormal distribution -- Pareto distribution -- Weibull distribution -- Extreme value distribution -- Cauchy distribution -- Inverse gaussian distribution -- Rayleigh distribution -- Bivariate normal distribution -- Some nonparametric methods 
520 |a Presenting both common and specialized probability distribution models, as well as providing applications with practical examples, this book discusses specialized distributions, some nonparametric distributions, tolerance factors for a multivariate normal distribution, and the distribution of the sample correlation coefficient, among others. 
592 |a 32583  |b 29/11/16  |c RM358.80  |h Bookline 
650 0 |a Distribution (Probability theory)  |v Handbooks, manuals, etc 
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