N. Balakrishnan

Emphasizing Markovian structures and the techniques that occur in different models, A Course on Queueing Models discusses recent developments in the field, different methodological tools - some of which are not available elsewhere - and computational techniques. The book covers fundamentals on Markovian and regenerative non-Markovian models as well as computational methods, statistical inference, and simulation. It also presents network queues, discrete time queues, optimization, combinatorial treatments in transient analysis, general queues, duality in queues, and new computational methods. Each self-contained chapter features a discussion section that summarizes material and highlights special features.

Through clear, step-by-step mathematical calculations, this text provides a solid understanding of how to apply statistical techniques in practice using MINITAB. It focuses on the concepts of confidence intervals, hypothesis testing, validating model assumptions, and power analysis. With fully worked out examples and homework problems, the text takes an introductory, practical approach to statistics. It establishes the foundation for readers to build on work in more advanced inferential statistics. Data sets and a trial version of MINITAB are included on accompanying CD-ROMs. A solutions manual is available for qualifying instructors.

Through an integrated and comparative approach, Bayesian Likelihood Methods in Ecology and Biology provides a clear guide to the development, application, and interpretation of Bayesian statistical methods to real-world scientific problems in ecology and biology. The book presents an overview of likelihood-based statistical models and offers a modern Bayesian interpretation. Applications of these models to biological and ecological problems are then presented in detail. Statistical methods used for calculations include linear models, categorical data analysis, and survival analysis. A CD-ROM of datasets and computer coding using programs such as WinBUGS and S-PLUS accompanies the book.

This book provides the basics needed to develop sensor network software and supplements it with many case studies covering network applications. It also examines how to develop onboard applications on individual sensors, how to interconnect these sensors, and how to form networks of sensors.

Written by renowned experts in the field of reliability, this book deals with various aspects of mathematical and statistical models and methods in reliability. The contributions cover a wide range of applications and reflect recent developments.

Inspired by the Encyclopedia of Statistical Sciences, Second Edition (ESS2e), this volume presents a concise, well–rounded focus on the statistical concepts and applications that are essential for understanding gathered data in the fields of engineering, quality control, and the physical sciences.

Building on the previous editions that have served as standard textbooks and references for more than twenty-five years, Randomization Tests, Fourth Edition describes the randomization test theory, clarifies the hypotheses being tested, and discusses the role of random assignment. This edition also features updated material on N-of-1 randomization tests and includes an accompanying CD-ROM with up-to-date randomization test programs and FORTRAN codes. It contains end-of-chapter exercises and numerous new examples. The authors provide a website with solutions to the exercises and updates about new releases of RT4Win.