Browsing UT - Statistics and Data Sciences by Title
Now showing items 1741-1742 of 1742
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Which one use to overcome multicollinearity ? Ridge regression or principal component regression
(2000)In multiple linear regression the effect of nonorthogonality of the prediction vectors is to pull the least squares estimates of the regression coefficient away from the true coefficient that one is trying to estimate. ... -
Zero-inflated negative binomial models in small area estimation.
(2009)The problem of over-dispersion in Poisson data is usually solved by introducing prior distributions which lead to negative binomial models. Poisson data sometime is also suffered by excess zero problems, a condition when ...