Inference for the maximum cell probability under multinomial sampling

by: AE Gelfand, J Glaz, L Kuo, TM Lee

Naval Research Logistics, Vol. 39, No. 1. (1992), pp. 97-114.

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Abstract

This article investigates inference for pmax, the largest cell probability in multinomial trials for the case of a small to moderate number of trials. Emphasis focuses on point and interval estimation. Both frequentist and Bayesian approaches are developed. The results of extensive simulation investigation are included as well as the analysis of a set of crime data for the city of New Orleans taken from the National Crime Survey.

@article{citeulike:3014215, abstract = {This article investigates inference for pmax, the largest cell probability in multinomial trials for the case of a small to moderate number of trials. Emphasis focuses on point and interval estimation. Both frequentist and Bayesian approaches are developed. The results of extensive simulation investigation are included as well as the analysis of a set of crime data for the city of New Orleans taken from the National Crime Survey.}, address = {University of Connecticut}, author = {Gelfand, A. E. and Glaz, J. and Kuo, L. and Lee, T. M. }, citeulike-article-id = {3014215}, doi = {10.1002/1520-6750(199202)39:1<97::AID-NAV3220390108>3.0.CO;2-O}, journal = {Naval Research Logistics}, keywords = {ranking, selection}, number = {1}, pages = {97--114}, posted-at = {2008-07-17 13:06:09}, priority = {2}, title = {Inference for the maximum cell probability under multinomial sampling}, url = {http://dx.doi.org/10.1002/1520-6750(199202)39:1\%3C97::AID-NAV3220390108\%3E3.0.CO;2-O}, volume = {39}, year = {1992} }

RIS record

TY - JOUR ID - citeulike:3014215 L3 - citeulike-article-id:3014215 TI - Inference for the maximum cell probability under multinomial sampling JF - Naval Research Logistics VL - 39 IS - 1 SP - 97 EP - 114 AD - University of Connecticut N2 - This article investigates inference for pmax, the largest cell probability in multinomial trials for the case of a small to moderate number of trials. Emphasis focuses on point and interval estimation. Both frequentist and Bayesian approaches are developed. The results of extensive simulation investigation are included as well as the analysis of a set of crime data for the city of New Orleans taken from the National Crime Survey. KW - ranking KW - selection AU - Gelfand, AE AU - Glaz, J AU - Kuo, L AU - Lee, TM PY - 1992/// UR - http://dx.doi.org/10.1002/1520-6750(199202)39:1%3C97::AID-NAV3220390108%3E3.0.CO;2-O ER -

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