Point scoring, Advanced Statistics

Point scoring is an easy distribution free method which can be used for the prediction of a response which is a binary variable from the observations on several explanatory variables which are also binary in nature. The easiest version of the process, often known as the Burgess technique, operates by first taking the explanatory variables one at a time and then determining which level of each variable is related with the higher proportion of 'success' category of the binary response. The prediction score for any of the individual is then just the number of explanatory variables at the high level (generally only variables which are ' significant' are included in the score). The score thus varies from 0, when all explanatory variables are at low level, to its maximum value when all important variables are at the high level. The goal of the technique is to split the population into risk groups.

Posted Date: 7/31/2012 1:45:21 AM | Location : United States







Related Discussions:- Point scoring, Assignment Help, Ask Question on Point scoring, Get Answer, Expert's Help, Point scoring Discussions

Write discussion on Point scoring
Your posts are moderated
Related Questions
The regression analysis is used to fit a model describing the relationship of a dependent variable with independent variable(s). Here we have fitted three regression models:

This process of estimating from a data set those values lying beyond range of the data. In the regression analysis, for instance, a value of the response variable might be estimate

Non-identified response is a term used to signify censored observations in survival data, which are not independent of the endpoint of the interest. Such observations can happen f

Outlier is an observation which seems to deviate markedly from the other members of the sample in which it happens. In the set of systolic blood pressures, {125, 128, 130, 131, 19

The theory of measurement which recognizes that in any measurement situation there are multiple (actually infinite) sources of variation (known as facets in the theory), and that a

Canonical correlation analysis : A process of analysis for investigating the relationship between the two groups of variables, by ?nding the linear functions of one of the sets of

Likert scales is often used in the studies of attitudes in which the raw scores are based on the graded alternative responses to each of a series of queries. For instance, the sub

Conjoint analysis : The method used basically in market research which is similar in many respects to the various dimensional scaling. The method attempts to assign values to the l

Projection pursuit is a procedure for attaning a low-dimensional (usually two-dimensional) representation of the multivariate data, which will be particularly useful in revealing

Johnson-Neyman technique:  The technique which can be used in the situations where analysis of the covariance is not valid because of the heterogeneity of slopes. With this method