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Paired samples are the two samples of the observations with the characteristic feature with each of the observation in one sample have only one matching observation in the other sample. There are several techniques in which such samples can occur in the medical investigations. The first, self- pairing, happens when each subject serves as his or her own control, as in, for instance, therapeutic trials in which each of the subjects receives both the treatments, one on each of two separate occasions. Consequently, natural-pairing can occur particularly, for instance, in laboratory experiments involving litter-mate controls. Lastly artificial pairing might be taken in use by the investigator to match the two subjects in the pair on significant characteristics likely to be related to response variable.
Genetic algorithms: The optimization events motivated by the biological analogies. The prime idea is to try to mimic the 'survival of the fittest' rule of the genetic mutation in
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
Chains of infection : The description of the course of infection among the group of individuals. The susceptibles infected by the direct contact with the introductory cases are sai
A term usually used for unobserved individual heterogeneity. Such variation is of main concern in the medical statistics particularly in the analysis of the survival times where ha
Build-Rite construction has received favorable publicity from guest appearances on a public TV home improvement program. Public TV programming decisions seem to be unpredictable, s
how to calculate the semi average method when 8 observations are given?
Cauchy integral : The integral of the function, f (x), from a to b are de?ned in terms of the sum In the statistics this leads to the below shown inequality for the expecte
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difference between histogram and historigram
How large would the sample need to be if we are to pick a 95% confidence level sample: (i) From a population of 70; (ii) From a population of 450; (iii) From a population of 1000;
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