Journal ArticleDOI
Sample Size for Estimating Multinomial Proportions
TLDR
In this article, a procedure and a table for selecting sample size for simultaneously estimating the parameters of a multinomial distribution is presented, analogous to the case in which a binomial parameter equals one-half.Abstract:
This article presents a procedure and a table for selecting sample size for simultaneously estimating the parameters of a multinomial distribution. The results are obtained by examining the “worst” possible value of a multinomial parameter vector, analogous to the case in which a binomial parameter equals one-half.read more
Citations
More filters
Journal ArticleDOI
Study Designs and Tests for Comparing Resource Use and Availability II
Dana L. Thomas,Eric J. Taylor +1 more
TL;DR: It is illustrated that resource selection models are part of a broader collection of statistical models called weighted distributions and recommend some promising areas for future development.
Journal ArticleDOI
Sample size determination : a review
TL;DR: In this paper, a small number of simple problems, such as estimating the mean of a normal distribution or the slope in a regression equation, are covered, and some key techniques are presented.
Journal ArticleDOI
Simultaneous Confidence Intervals and Sample Size Determination for Multinomial Proportions
Cristina Sison,Joseph Glaz +1 more
TL;DR: In this paper, two new simultaneous confidence interval procedures for multinomial proportions are introduced and compared with the established ones, where the accuracy of the procedure is measured by the volume of the confidence region corresponding to the nominal coverage probability and the probability of coverage it achieves.
An introduction to the application of (case 1) best–worst scaling in marketing research
TL;DR: It is demonstrated how to use BWS to measure subjective quantities in two different empirical examples, which measures preferences for weekend getaways and requires comparing relatively few objects.
Journal ArticleDOI
An introduction to the application of (case 1) best–worst scaling in marketing research
TL;DR: In this article, the authors review and discuss recent developments in best-worst scaling (BWS) that allow researchers to measure items or objects on measurement scales with known properties, and demonstrate how to use BWS to measure subjective quantities in two different empirical examples.
References
More filters
Book
Simultaneous Statistical Inference
TL;DR: In this article, the authors presented a case of two means regression method for the family error rate, which was used to estimate the probability of a family having a nonzero family error.
Journal ArticleDOI
On Simultaneous Confidence Intervals for Multinomial Proportions
TL;DR: In this article, the authors presented a method for obtaining simultaneous confidence intervals for the parameters of a multinomial distribution, and compared this method with the one suggested recently by Quesenberry and Hurst (1964).
Journal ArticleDOI
Handbook of the Normal Distribution.
Jagdish K. Patel,C. B. Read +1 more
TL;DR: Genesis: an historical background basic properties expansions and algorithms characterizations sampling distributions limit theorems and expansions normal approximations to distributions order statistics from normal samples the bivariate normal distribution Bivariate normal sampling distributions point estimation statistical intervals as discussed by the authors.
Journal ArticleDOI
Large Sample Simultaneous Confidence Intervals for Multinomial Proportions
C. P. Quesenberry,D. C. Hurst +1 more
TL;DR: In this paper, a method for obtaining a set of simultaneous confidence intervals for the probabilities of a multinomial distribution is presented, where a large sample size is assumed and a lower bound given for the confidence coefficient.
Journal ArticleDOI
A Note on Sample Size Estimation for Multinomial Populations
TL;DR: In this article, a method for determining the sample size required for a specified precision simultaneous confidence statement about the parameters of a multinomial population is described, based on a simultaneous confidence interval procedure due to Goodman.