JSTOR Daily

Uniform convergence of the empirical cumulative distribution function under informative selection from a finite population

This is a preview. Log in through your library . Abstract Consider informative selection of a sample from a finite population. Responses are realized as independent and identically distributed (i.i.d.
JSTOR Daily

Gini coefficient as a life table function: computation from discrete data, decomposition of differences and empirical examples

This paper presents a toolkit for measuring and analyzing inter-individual inequality in length of life by Gini coefficient. Gini coefficient and four other inequality measures are defined on the ...
Simon Fraser University

Example 47.1: Two-Sample Location Tests and EDF Statistics

Fifty-nine female patients with rheumatoid arthritis who participated in a clinical trial were assigned to two groups, active and placebo. The response status (excellent=5, good=4, moderate=3, fair=2, ...
Simon Fraser University

Example 2.1: Fitting a Normal Distribution

You can use the CDFPLOT statement to fit any of six theoretical distributions (beta, exponential, gamma, lognormal, normal, and Weibull) and superimpose them on the cdf plot. The following statements ...