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Over dispersion is the phenomenon which occurs when empirical variance in the data exceeds the nominal variance under some supposed model. Most often encountered when the modeling data which occurs in the form of proportions or counts, where it is frequently observed that there is more variation than, for instance, an assumed binomial distribution can accommodate.
There might be a variety of relatively easy reasons of the amplified variation, ranging from the presence of one or more outliers, to the mis-specification of model being applied to the data. If none of these explanations could explain the phenomenon then it is likely that it is due to the variation between the response probabilities or correlation between the binary responses, in which case particular modelling procedures might be required.
Length-biased data is a data which arise when the probability that an item is sampled is proportional to its own length. A main example of this situation occurs in the renewal the
HOW TO CONSTRUCT A BIVARIATE FREQUENCY DISTRIBUTION
Probability weighting is the procedure of attaching weights equal to inverse of the probability of being selected, to each respondent's record in the sample survey. These weights
Kappa coefficient : The chance corrected index of the agreement between, for instance, judgements and diagnoses made by the two raters. Calculated as the ratio of the noticed exces
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It is the diagram used to display the values graphically in a frequency distribution. The frequencies are graphed as an ordinate against the class mid-points as abscissae. The p
an oil company is considering whether or not to bid for an offshore drilling contract. The bid would cost $60 with a 65% chance of gaining the contract. Outcome success Probability
methods of determining trend in time series?
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