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Unequal probability sampling is the sampling design in which the different sampling units in the population have different probabilities of being included in sample. The differing inclusion probabilities might result from some inherent feature of sampling process, or they might be deliberately imposed in order to attain better estimates by including 'more important' units with the higher probability. The unequal inclusion probabilities required to be accounted for in order to come up with the reasonable estimates of the population quantities. An instance of such a design is line-intercept sampling of the vegetation cover, in which the size of the patch of vegetation is measured whenever the randomly selected line intersects it. The larger the patch, the higher will be probabilities of inclusion in sample. This kind of sampling might be carried out by assigning to each unit the interval whose length is equal to the required probability and selecting random numbers from uniform distribution: a unit is involved if the random number is in its interval.
Information theory: This is the branch of applied probability theory applicable to various communication and signal processing problems in the field of engineering and biology. In
Attitude scaling : The process of analysing the positions of the individuals on scales purporting to measure attitudes, for instance a liberal-conservative scale, ora risk-willingn
Intention-to-treat analysis is the process in which all the patients randomly allocated to a treatment in the clinical trial are analyzed together as representing that particular
O'Brien's two-sample tests are the extensions of the conventional tests for assessing the differences between treatment groups which take account of the possible heterogeneous nat
Gllamm is a program which estimates the generalized linear latent and mixed models by the maximum likelihood. The models which can be fitted include structural equation models mul
The alternative process to make use of the chi-squared statistic for assessing the independence of the two variables forming a two-by-two contingency table particularly when expect
difference between histogram and historigram
Latin square is an experimental design targeted at removing from the experimental error the variation from two extraneous sources so that a more sensitive test of the treatment ef
Median is the value in a set of the ranked observations which divides the data into two parts of equal size. When there are an odd number of observations the median is middle v
Percentile : The set or group of divisions which produce exactly 100 equal parts in the series of continuous values, like blood pressure, height, weight, etc. Hence a person with b
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