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Can I read Methods of Discrimination Among Stochastic Models of the Negative Binomial Distribution with an Application to Medical Statistics on EtoBox?

Methods of Discrimination Among Stochastic Models of the Negative Binomial Distribution with an Application to Medical Statistics by F. W. Rockhold; S. J. Kilpatrick is a Mathematics article available to read on EtoBox.

What is Methods of Discrimination Among Stochastic Models of the Negative Binomial Distribution with an Application to Medical Statistics about?

## Abstract The Negative Binomial Distribution (NBD) can be derived from several underlying stochastic processes. For the NBD to be useful in practice as a descriptive model, it would be of interest to know which underlying process it is characterizing. In this paper, methods for discriminating among three different NBD underlying processes, proneness, linear contagion, and spells, are developed and studied. The methods are based on the characteristics of the processes and employ the theory of the bivariate NBD and waiting times. The NBD has been shown to consistently fit data on the incidence of disease. Knowledge of the underlying process generating the data is important for meaningful interpretation of such findings.

Who reads Methods of Discrimination Among Stochastic Models of the Negative Binomial Distribution with an Application to Medical Statistics?

It is typically read by researchers, students, and practitioners in Mathematics.

Author
F. W. Rockhold; S. J. Kilpatrick
Publisher
John Wiley and Sons; Wiley (John Wiley & Sons); John Wiley & Sons Ltd.; Wiley (ISSN 0323-3847)
Published
1981
Language
EN
Field
Mathematics (Physical Sciences)

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