Bivariate Discrete Distributions
Author:   Kocherlakota ,  Kathleen Kocherlakota
Publisher:   Taylor & Francis Ltd
ISBN:  

9780367450328


Pages:   384
Publication Date:   02 December 2019
Format:   Paperback
Availability:   In Print   Availability explained
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Bivariate Discrete Distributions


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Overview

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

Full Product Details

Author:   Kocherlakota ,  Kathleen Kocherlakota
Publisher:   Taylor & Francis Ltd
Imprint:   CRC Press
Weight:   0.453kg
ISBN:  

9780367450328


ISBN 10:   0367450321
Pages:   384
Publication Date:   02 December 2019
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

Table of Contents

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

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