Boca Raton: Dekker/CRC Press, 2005. — 237 p.
Statistical distributions and models play a vital role in many different applied fields in science, engineering, humanities, health and social sciences. Data obtained from real-life situations are often modeled by appropriate statistical distributions and then inferential procedures are developed under the assumption of that particular distribution. For this reason, it becomes very important that properties of statistical distributions are studied so that they can be utilized to develop optimal inferential methods for analyzing the data under the considered statistical model, and also to check the validity of that model assumption for the data at hand.
In this volume, we present 14 chapters written by internationally renowned experts. These chapters discuss characterizations and other important properties of several statistical distributions and models, inferential procedures for these distributions and models, and finally some applications to real-life problems. Each chapter has been written in a self-contained expository manner with a comprehensive list of pertinent references.
These chapters are based on some selected papers that were presented at the International Conference on Advances on Models, Characterizations and Applications that was held in Antalya, Turkey, in December 2001. It is our sincere hope that readers of this volume will get
up-to-date information on some recent developments on characterizations and other important properties of several distributions, on some inferential issues relating to these models, and finally on some applications of these models to real-life problems.