Statistical Decision Theory by Lionel Weiss is a comprehensive guide to the principles and techniques of statistical decision-making. The book provides a thorough introduction to the theory and practice of decision-making under uncertainty, covering topics such as decision trees, Bayesian decision theory, hypothesis testing, and regression analysis.The book is divided into three parts. The first part provides an overview of the basic concepts and principles of statistical decision-making. The second part covers the various techniques and methods used in statistical decision-making, including decision trees, Bayesian decision theory, and hypothesis testing. The third part focuses on applications of statistical decision-making to real-world problems, such as regression analysis and decision-making in healthcare.Throughout the book, the author provides numerous examples and exercises to help readers understand and apply the concepts and techniques presented. The book is written in a clear and accessible style, making it suitable for students and practitioners in a variety of fields, including statistics, economics, business, and engineering.Overall, Statistical Decision Theory is a valuable resource for anyone seeking to understand the principles and techniques of statistical decision-making.McGraw-Hill Series In Probability And Statistics.This scarce antiquarian book is a facsimile reprint of the old original and may contain some imperfections such as library marks and notations. Because we believe this work is culturally important, we have made it available as part of our commitment for protecting, preserving, and promoting the world's literature in affordable, high quality, modern editions, that are true to their original work.