Statistical Methods for Reliability Data

✍ Scribed by William Q. Meeker, Luis A. Escobar

• Publisher: Wiley
• Year: 1998
• Tongue: English
• Leaves: 701
• Series: Wiley series in probability and statistics. Applied probability and statistics section
• Edition: 1
• Category: Library

✦ Synopsis

Explains computer-based statistical methods for reliability data analysis and test planning for industrial products. Demonstrates how to apply the latest graphical, numerical, and simulation-based methods to a broad range of models found in reliability data analysis, and covers areas such as analyzing degradation data, simulation methods used to complement large-sample asymptotic theory, and data analysis computed with the S-PLUS system. Includes chapter exercises using real data sets. For professionals in product reliability and design, and for graduate students in courses in applied reliability data analysis.

✦ Subjects

Математика;Теория вероятностей и математическая статистика;Обработка результатов измерений;