For advanced graduate students, this book is a one-stop shop that presents the main ideas of decision theory in an organized, balanced, and mathematically rigorous manner, while observing statistical relevance. All of the major topics are introduced at an elementary level, then developed incrementally to higher levels. The book is self-contained as it provides full proofs, worked-out examples, and problems. The authors present a rigorous account of the concepts and a broad treatment of the major results of classical finite sample size decision theory and modern asymptotic decision theory. With its broad coverage of decision theory, this book fills the gap between standard graduate texts in mathematical statistics and advanced monographs on modern asymptotic theory.
This boo aims to raise awareness of the need to radically change mangement styles to fit with the new patterns of working in the 21st century. Each chapter provides ideas and discussion about a particular subject area and closes with an assessment of the skills that are required by managers in order to manage situations in a creative and dynamic way.The case studies are also used to enable the reader to consider different ways in which management skills can be applied to business situations.Identifying and assessing the skills that are necessary for managers to possess in order for their business to flourish in this new age of technology, this book will prove valuable to students of business and management and practicing managers alike.
The exponential distribution is one of the most significant and widely used distribution in statistical practice. It possesses several important statistical properties, and yet exhibits great mathematical tractability. This volume provides a systematic and comprehensive synthesis of the diverse literature on the theory and applications of the expon