Edward G. Schilling

Integrating both theory and practice, this comprehensive book encompasses the most widely used acceptance sampling techniques. This second edition includes coverage of ISO 2859 and 3951 standards and the ASTM version (E2234) of MIL-STD-105E, along with a new section on credit-based sampling plans. It also stresses the role of sampling schemes with switching rules and extensively discusses accept zero plans, including TNT, credit-based, the Nelson monograph for c=0, and MIL-STD-1916. The authors introduce the fundamentals of probability theory and provide problems at the end of each chapter with solutions at the end of the text.

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.

Continuing a best-selling tradition, the third edition of Quality by Experimental Design uses the same easy-to-read and understand style that made the previous two editions so successful with both newcomers and experienced readers. With emphasis on the philosophy and technique for setting up experiments, the book allows increased efficiency, timely accomplishment of goals, visualization through graphical and numerical representation, and control of the experiment through careful planning. This updated and expanded edition includes new topics on inference, more realistic practice problems, examples using Minitab® and a large dose of robust design philosophy and methods (the Taguchi Approach).

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.