๐”– Bobbio Scriptorium
โœฆ   LIBER   โœฆ

Sample size estimation for nominal data

โœ Scribed by Jerrold Lerman


Publisher
Springer-Verlag
Year
1997
Tongue
French
Weight
84 KB
Volume
44
Category
Article
ISSN
1496-8975

No coin nor oath required. For personal study only.


๐Ÿ“œ SIMILAR VOLUMES


Estimation of Sample Size for Reference
โœ James F. Troendle; Kai F. Yu ๐Ÿ“‚ Article ๐Ÿ“… 2003 ๐Ÿ› John Wiley and Sons ๐ŸŒ English โš– 97 KB ๐Ÿ‘ 2 views

## Abstract The currently used criterion for sample size calculation in a reference interval study is not well stated and leads to imprecise control of the ratio in question. We propose a generalization of the criterion used to determine sufficient sample size in reference interval studies. The gen

Sample size requirements for multiple re
โœ Douglas G. Bonett; Thomas A. Wright ๐Ÿ“‚ Article ๐Ÿ“… 2010 ๐Ÿ› John Wiley and Sons ๐ŸŒ English โš– 353 KB

## Abstract Sample size planning is one of the most important issues in the design of a study. Simple and accurate sample size formulas for a desired confidence interval width have been developed for many statistical procedures, but a simple and accurate sample size formula for the squared multiple

Dissimilarity learning for nominal data
โœ Victor Cheng; Chun-Hung Li; James T. Kwok; Chi-Kwong Li ๐Ÿ“‚ Article ๐Ÿ“… 2004 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 186 KB
Small-sample comparison of McCullagh and
โœ D.J. Best; J.C.W. Rayner; L.G. Stephens ๐Ÿ“‚ Article ๐Ÿ“… 1998 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 330 KB

Analysis of two-way nominal-ordinal categorical data can be done via the parametric linear-logistic approach of McCullagh (1980) or by the non-parametric partition of chi-squared method given by Nair (1986). Monte Carlo simulations are used to compare test sizes and powers for these two approaches.