Explain multiple comparison tests, Advanced Statistics

Multiple comparison tests: Procedures for detailed examination of the differences between a set of means, generally after a general hypothesis that they are all equal has been rejected. No single technique or method is best in all situations and the major distinction between techniques or the methods is how they control the possible inflation of the type I error. 

Posted Date: 7/30/2012 5:48:21 AM | Location : United States







Related Discussions:- Explain multiple comparison tests, Assignment Help, Ask Question on Explain multiple comparison tests, Get Answer, Expert's Help, Explain multiple comparison tests Discussions

Write discussion on Explain multiple comparison tests
Your posts are moderated
Related Questions
Mixture experiment is an experiment in which the two or more ingredients are blended together to form an end product. The measurements are taken on the several blends of the ingre

Hello-goodbye effect : The phenomenon initially described in psychotherapy research, but one which might arise whenever a subject is assessed on two occasions, with some interventi

Hazard regression is the procedure for modeling the hazard function which does not depend on the suppositions made in Cox's proportional hazards model, namely that the log-hazard

Obuchowski and Rockette method  is an alternative to the Dorfman-Berbaum-Metz technique for analyzing multiple reader receiver operating curve data. Instead of the modelling the ja

I have a problem I am trying to solve. An oil company thinks that there is a 60% chance that there is oil in the land they own. Before drilling they run a soil test. When there is

(a) You are trying to develop a strategy for investing in two different stocks, Stock A and Stock B. The anticipated annual return for a $1000 investment in each stock under four

i have an assignment for experimental design which is must done by SAS program can you help me also i need to hand in the assignment till thursday shall i send it for you ?

Dear Experts, Please note that I''m doing a PhD in Business management under the title: Technology transfer and competitive advantage in Qatar oil and gas companies. It is a quant

The functions of the data and the parameters of interest which can be brought in use to conduct inference about the parameters when full distribution of the observations is unknown

Yate s' continuity correction : When the testing for independence in contingency table, a continuous probability distribution, known as chi-squared distribution, is used as the app