User Settings
Open AccessArticle10.59139/ps.2013.03.2

Analiza mocy wybranych testów jednorodności czasów trwania dla populacji o rozkładzie Weibulla

Andrzej Sokołowski,Sabina Denkowska,Kamil Fijorek,Marcin Sałamaga-2013-09-30-Przegląd Statystyczny Statistical Review
1PDF

TL;DRAbstract

Recently, tests for comparing survival distributions become more and more popular and used in applied economics. Unemployment duration, time needed to find a new job, enterprise survival or waiting for a commodity to be sold are good examples. There are a number of tests to compare survival distributions proposed in statistical literature. The aim of this research was to analyze, by the means of computer simulations, the effectiveness of survival tests as implemented in STATISTICA software. The following tests have been outlined and compared: Wilcoxon, Geehan, Cox-Mantel, Peto & Peto and log rank. Random samples were generated from Weibull distribution.

Chat with Paper

AI Agents for this Paper

Recently, tests for comparing survival distributions become more and more popular and used in applied economics. Unemployment duration, time needed to find a new job, enterprise survival or waiting for a commodity to be sold are good examples. There are a number of tests to compare survival distributions proposed in statistical literature. The aim of this research was to analyze, by the means of computer simulations, the effectiveness of survival tests as implemented in STATISTICA software. The following tests have been outlined and compared: Wilcoxon, Geehan, Cox-Mantel, Peto & Peto and log rank. Random samples were generated from Weibull distribution.

Keywords

Weibull distributionWilcoxon signed-rank testStatisticsMathematicsLog-normal distributionEconometrics

Chat

Click to start Chat