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
Classification matrix: A term many times used in discriminant analysis for the matrix summarizing the results and outputs obtained from the derived classi?cation rule, and obtaine

Probabilistic matching is a method developed to maximize the accuracy of the linkage decisions based on the level of agreement and disagreement among the identifiers on different

Glim is the software package specifically suited for fitting the generalized linear models (the acronym stands for the Generalized Linear Interactive Modelling), including the log

The Null Hypothesis - H0: There is no heteroscedasticity i.e. β 1 = 0 The Alternative Hypothesis - H1:  There is heteroscedasticity i.e. β 1 0 Reject H0 if nR2 > MTB >

Bioassay : It is an abbreviation of biological assay, which in its classical form includes an experiment conducted on biological material to determine relative potency of test and

Hill-climbing algorithm is  an algorithm which is made in use in those techniques of cluster analysis which seek to find the partition of n individuals into g clusters by optimizin

The act of combining data from heterogeneous sources with the intent of extracting information that would not be available for any single source in isolation. An example is the com

A study not involving the passing of time. All information is collected at the same time and subjects are contacted only once. Many surveys are of this type. The temporal sequence

Generalized poisson distribution: The probability distribution can be defined as follows:   The distribution corresponds to the situation in which the values of the rand

The variables resulting from the recoding categorical variables with more than two categories into the sequence of binary variables. Marital status, for instance, if originally lab