This highly accessible book presents robustness testing as the methodology for conducting quantitative analyses in the presence of model uncertainty.

The uncertainty that researchers face in specifying their estimation model threatens the validity of their inferences. In regression analyses of observational d

The uncertainty that researchers face in specifying their estimation model threatens the validity of their inferences. In regression analyses of observational d

"This book focuses on the practical aspects of modern and robust statistical methods. The increased accuracy and power of modern methods, versus conventional ap

Offering an in-depth treatment of robust and resistant regression, this volume takes an applied approach and offers readers empirical examples to illustrate key