A Course in Large Sample Theory is presented in four parts. The first treats basic probabilistic notions, the second features the basic statistical tools for expanding the theory, the third contains special topics as applications of the general theory, and the fourth covers more standard statistical topics. Nearly all topics are covered in their multivariate setting.
The book is intended as a first year graduate course in large sample theory for statisticians. It has been used by graduate students in statistics, biostatistics, mathematics, and related fields. Throughout the book there are...

The fourth edition of this volume on statistics is updated to present information on modern statistical techniques, such as analysis of variance, and software such as Minitab. The author emphasizes the principles and assumptions underlying the statistical methods, keeping complex mathematical theory to a minimum. There are worked examples, illustrating the relevance of the methods to a broad range of disciplines.

Analysis of Failure and Survival Data is an essential textbook for stu dents and practitioners of survival analysis and reliability. It integ rates the use of contemporary statistical software output throughout t he text along with a variety of real data sets so readers can see how theories and techniques are applied. It also incorporates exercises in each chapter so they can test their understanding of the material whi le gaining valuable problem-solving experience. The book also brings t o light the most recent linear regression techniques. Mastering the co ntents of this book will help...