𝔖 Bobbio Scriptorium
✦   LIBER   ✦

On a restricted occupancy model and its applications

✍ Scribed by Dr. Ch. A. Charalambides


Publisher
John Wiley and Sons
Year
1981
Tongue
English
Weight
480 KB
Volume
23
Category
Article
ISSN
0323-3847

No coin nor oath required. For personal study only.

✦ Synopsis


Abstract

With the multivariate hypergeometric distribution as a background certain occupancy distributions useful in practical applications are derived. More specifically it is assumed that a sample of n individuals is drawn from a population consisting of m types with r individuals in each type, (i) without replacement and (ii) by returning the selected individual in the population and with it another individual of the same type. The distributions of the number Z of distinct types observed in the sample are obtained in both cases in terms of the numbers. Assuming, in addition to the m equiprobable types of individuals, the existence of a control type, say, with s individuals, the joint distribution of the number U of distinct types observed in the sample and the number V of individuals of the control type present in the sample is obtained in terms of the numbers C(n, k, r) and the marginal distribution of U in terms of the Gould‐Hopper numbers. Using these distributions minimum variance unbiased estimators of the number m of types are derived. Moreover small sample tests based on the zero frequency are constructed.


πŸ“œ SIMILAR VOLUMES


Semi-Markov Model and Its Application
✍ Dr. R. K. Jain πŸ“‚ Article πŸ“… 1987 πŸ› John Wiley and Sons 🌐 English βš– 218 KB πŸ‘ 1 views

In this paper, a numerical procedure based on the theory of semi-Markov process is presented to study the prognosis of the cancer of cervix. Data is used to illustrate the predictive ability of the model.

Revisiting the neighbor exclusion model
✍ Marcio S. Rocha πŸ“‚ Article πŸ“… 2010 πŸ› Wiley (John Wiley & Sons) 🌐 English βš– 166 KB πŸ‘ 1 views

## Abstract We review the neighbor exclusion model and some of its applications to analyze the binding data of DNA‐ligand complexes. We revisit the closed form of the model developed by McGhee and von Hippel in 1974, showing that this classic model can be used to help studying the behavior of DNA c