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The measure of the degree to which the particular model differs from the saturated model for the data set. Explicitly in terms of the likelihoods of the two models can be defined as follows are the likelihoods of the current and the saturated model, correspondingly. Large values of d are encountered when Lc is small relative to Ls, signifying that the current model is a poor one. Small values of d are attained in the overturn case. The deviance has asymptotically a chi-squared distribution with the degrees of freedom equal to the difference in the number of parameters in the two models when the current model is correct.
how to find the PDF and CDF of a gamma random variable with given equation?
Longini Koopman model : In epidemiology the model for primary and secondary infection, based on the classification of the extra-binomial variation in an infection rate which might
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A two-step distillation and mixing process is shown in the figure. The system operates at steady-state conditions and there are no chemical reactions. The known flow rates and comp
Residual plots are the plots of some type of residual which might be helpful in assessing the assumption made by the fitted model. In regression analysis there are various method
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