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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.
Lancaster models : The means of representing the joint distribution of the set of variables in terms of the marginal distributions, supposing all the interactions higher than a par
Remedian: The robust estimator of location which is computed by an iterative process. By assuming that the sample size n can be written as bk where b and k are the integers, the s
A theorem which shows that any counting process may be uniquely decomposed as the sum of a martingale and a predictable, right-continous process called the compensator, assuming ce
Discuss the use of dummy variables in both multiple linear regression and non-linear regression. Give examples if possible
The type of longitudinal study in which the subjects receive different treatments on the various occasions. Random allocation is required to determine the order in which the treatm
Product-limit estimator is a method for estimating the survival functions for the set of survival times, some of which might be censored observations. The logic behind the procedu
literature review of latin square design.
HOW TO OBTAIN THE LASPEYRES QUANTITY INDEX AND THE FORMULA
This is the theorem which states that if the error terms in a multiple regression have the same variance and are not corrected, then the estimators of the parameters in the model p
regression line drawn as Y=C+1075x, when x was 2, and y was 239, given that y intercept was 11. calculate the residual
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