Through the use of specific examples to illustrate evaluation research goals and methods, this book provides readers with an overview of the science and politics of evaluation research. The Second Edition includes coverage of meta-analysis, selection models and instrumental variables.
Through the use of specific examples to illustrate evaluation research goals and methods, this book provides readers with an overview of the science a...
Statistical Learning from a Regression Perspective considers statistical learning applications when interest centers on the conditional distribution of the response variable, given a set of predictors, and when it is important to characterize how the predictors are related to the response. As a first approximation, this is can be seen as an extension of nonparametric regression. Among the statistical learning procedures examined are bagging, random forests, boosting, and support vector machines. Response variables may be quantitative or categorical.
Real applications are...
Statistical Learning from a Regression Perspective considers statistical learning applications when interest centers on the conditional di...
