Sample sizes and confidence intervals associated with a Monte Carlo simulation model possessing a multinomial output

1 February 1969

journal article
research article
Published by SAGE Publications in SIMULATION

Vol. 12 (2) , 71-77
https://doi.org/10.1177/003754976901200205

Abstract

A new classification of Monte Carlo digital computer simulations is suggested. The body of this paper centers on the determination of sample sizes and confidence intervals associated with a simulation model which has a multinomially distributed output. A brief description of a 'multinomial' Monte Carlo model is given. The theoretical considerations put forth are then verified on this model.

Keywords

MONTE CARLO
CLASSIFICATION
MODEL
THEORETICAL
CONFIDENCE INTERVALS
FORTH
INTERVALS ASSOCIATED

This publication has 2 references indexed in Scilit:

On Simultaneous Confidence Intervals for Multinomial Proportions
Technometrics, 1965
Large Sample Simultaneous Confidence Intervals for Multinomial Proportions
Technometrics, 1964