Goodmanand kruskal measures of association, Advanced Statistics

Goodmanand kruskal measures of association is the measures of associations which are useful in the situation where two categorical variables cannot be supposed to be derived from perhaps unobservable continuous variables and where there is no natural ordering of the interest.

The rationale behind the measures is question, 'how much does the knowledge of the classification of one of the variables get better the ability to predict classification on the other variable'. 

Posted Date: 7/28/2012 4:08:45 AM | Location : United States







Related Discussions:- Goodmanand kruskal measures of association, Assignment Help, Ask Question on Goodmanand kruskal measures of association, Get Answer, Expert's Help, Goodmanand kruskal measures of association Discussions

Write discussion on Goodmanand kruskal measures of association
Your posts are moderated
Related Questions
Designs in which the information on main effects and low-order inter- actions are attained by running only the fraction of the complete factorial experiment and supposing that part

The time series for RESI1, HI1 and COOK1 have appeared again with different outlier values even though the 17 outliers found early were removed.

Missing values : The observations missing from the set of data for some of the reason. In longitudinal studies, for instance, they might occur because subjects drop out of the stud

Randomization tests are the procedures for determining the statistical significance directly from the data with- out recourse to some particular sampling distribution. For instanc


Balanced incomplete repeated measures design (BIRMD): An arrangement of the N randomly selected experimental units and k treatments in which each and every unit receives k1 treatm

Categorizing continuous variables : A practice which involves the conversion of the continuous variables into the series of the categories, which is common in the field of medical

Quota sample is the sample in which the units are not selected at the random, but in terms of a particular number of units in each of a number of categories; for instance, 10 men

Procrustes analysis is a technique of comparing the alternative geometrical representations of a group of multivariate data or of the proximity matrix, for instance, two competing