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O. J. Simpson paradox is a term coming from the claim made by the defence lawyer in murder trial of O. J. Simpson. The lawyer acknowledged that the statistics demonstrate that only the one-tenth of one percent of men who abuse their wives go on to murder them, with the implication that one or two instances of alleged abuse gives very little evidence that the wife's murder was committed by abusive husband. The argument simply reflects that most of the wives are not murdered and has no relevance once the murder has been committed and there is a body. What is required to be considered here is, given that the wife with an abusive partner has been murdered, what is the chance that murderer is her abuser husband? It is this conditional probability which provides the relevant evidence for jury to consider, and estimates of the possibility which range from 0.5 to 0.8.
A value related with the square matrix which represents sums and products of its elements. For instance, if the matrix is then the determinant of A (conventionally written as
Reasons for screening data Garbage in-garbage out Missing data a. Amount of missing data is less crucial than the pattern of it. If randomly
data modelling
Models which make use of the smoothing techniques such as locally weighted regression to identify and represent the possible non-linear relationships between the explanatory and th
Principal components analysis is a process for analysing multivariate data which transforms original variables into the new ones which are uncorrelated and account for decreasing
re-reference all these indexes
how to constuct design matrix
Formal graphical representation of the "causal diagrams" or the "path diagrams" where the relationships are directed but acyclic (that is no feedback relations allowed). Plays an
Randomized consent design is the design at first introduced to overcome some of the perceived ethical problems facing clinicians entering patients in the clinical trials including
Bayesian inference : An approach to the inference based largely on Bayes' Theorem and comprising of the below stated principal steps: (1) Obtain the likelihood, f x q describing
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