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The biggest and smallest variate values among the sample of observations.
Significant in various regions, for instance flood levels of the river, speed of wind and snowfall.
Statistical analysis of the extreme values targets to model their occurrence and size with the goal of predicting the future values.
wat iz z difference b/n logistic regression and multiple regression analysis /
HOW TO OBTAIN THE LASPEYRES QUANTITY INDEX AND THE FORMULA
Randomization tests are the procedures for determining the statistical significance directly from the data with- out recourse to some particular sampling distribution. For instanc
The GRE has a combined verbal and quantitative mean of 1000 and a standard deviation of 200.
Principal components regression analysis is a process often taken in use to overcome the problem of multicollinearity in the regression, when simply deleting a number of the expla
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 variables resulting from the recoding categorical variables with more than two categories into the sequence of binary variables. Marital status, for instance, if originally lab
The distribution over distributions in the sense that each draw from the process is itself the distribution. The name Dirichlet process or procedure is due to the fact that the ?ni
Mauchly test is a test which a variance-covariance matrix of pair wise differences of responses in the set of longitudinal data is the scalar multiple of identity matrix, a proper
Human capital model : The model for evaluating the economic implication of the disease in terms of the economic loss of a person succumbing to morbidity or the mortality at some pa
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