Cantitate/Preț
Produs

Bivariate Discrete Distributions: Statistics: A Series of Textbooks and Monographs

Autor Kocherlakota
en Limba Engleză Paperback – 2 dec 2019
This useful reference/text provides a comprehensive study of the various bivariate discretedistributions that have appeared in the literature- written in an accessible manner thatassumes no more than a first course in mathematical statistics.Supplying individualized treatment of topics while simultaneously exploiting the interrelationshipsof the material, Bivariate Discrete Distributions details the latest techniques ofcomputer simulation for the distributions considered ... contains a general introduction tothe structural properties of discrete distributions, including generating functions, momentrelationships, and the basic ideas of generalizing . . . develops distributions using samplingschemes . .. explores the role of compounding ... covers Waring and "short" distributionsfor use in accident theory ... discusses problems of statistical inference, emphasizing techniquespertinent to the discrete case ... and much more!Containing over 1000 helpful equations, Bivariate Discrete Distributions is
Citește tot Restrânge

Din seria Statistics: A Series of Textbooks and Monographs

Preț: 49952 lei

Preț vechi: 58768 lei
-15%

Puncte Express: 749

Carte tipărită la comandă

Livrare economică 26 mai-09 iunie


Specificații

ISBN-13: 9780367450328
ISBN-10: 0367450321
Pagini: 384
Dimensiuni: 152 x 229 x 20 mm
Greutate: 0.45 kg
Ediția:1
Editura: CRC Press
Colecția CRC Press
Seria Statistics: A Series of Textbooks and Monographs


Public țintă

Professional

Cuprins

1. Preliminaries 2. Statistical Inference 3. Sampling with Replacement 4. Bivariate Poisson Distribution 5. Bivariate Negative Binomial Distribution 6. Sampling from Finite Populations 7. Bivariate Logarithmic Series Distribution 8. Compounded Bivariate Poisson Distributions 9. Some Miscellaneous Results

Descriere

This book provides a comprehensive study of the bivariate discrete distributions and details the computer simulation techniques for the distributions. It develops distributions using sampling schemes, explores the role of compounding, and covers Waring distribution for use in accident theory.