Statistics in the 21st Century
Statistics in the 21st Century

Author: Adrian E. Raftery

Publisher: CRC Press

Published: 2001-07-09

Total Pages: 571

ISBN-13: 1420035398

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This volume discusses an important area of statistics and highlights the most important statistical advances. It is divided into four sections: statistics in the life and medical sciences, business and social science, the physical sciences and engineering, and theory and methods of statistics.

Quality and Reliability Engineering International
Quality and Reliability Engineering International

Author:

Publisher: Wiley

Published: 1988-08-24

Total Pages: 126

ISBN-13: 9780471920465

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Devoted to practical engineering problems from the fields of quality and reliability, bridging the gap between scientific research and theoretical methods on the one hand, and current industrial methods on the other. This special issue focuses on Taguchi methods and develops approaches to electrical circuit design that incorporate aspects of parameter tolerance variations at various stages of design. This is the first issue of this journal to focus on a single topic. Presented here are eleven articles covering design of experiments in an historical perspective, recent applications, new thoughts on well-established techniques, and current research issues. Provides case studies in the Taguchi method, and an extensive annotated bibliography of books on experimental design. Departments include book reviews, news digest, and an international calendar of forthcoming events.

Introduction to Quality and Reliability Engineering
Introduction to Quality and Reliability Engineering

Author: Renyan Jiang

Publisher: Springer

Published: 2015-05-20

Total Pages: 336

ISBN-13: 3662472155

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This book presents the state-of-the-art in quality and reliability engineering from a product life-cycle standpoint. Topics in reliability include reliability models, life data analysis and modeling, design for reliability as well as accelerated life testing and reliability growth analysis, while topics in quality include design for quality, acceptance sampling and supplier selection, statistical process control, production tests such as environmental stress screening and burn-in, warranty and maintenance. The book provides comprehensive insights into two closely related subjects, and includes a wealth of examples and problems to enhance readers’ comprehension and link theory and practice. All numerical examples can be easily solved using Microsoft Excel. The book is intended for senior undergraduate and postgraduate students in related engineering and management programs such as mechanical engineering, manufacturing engineering, industrial engineering and engineering management programs, as well as for researchers and engineers in the quality and reliability fields. Dr. Renyan Jiang is a professor at the Faculty of Automotive and Mechanical Engineering, Changsha University of Science and Technology, China.