<I>Amstat News</I> asked three review editors to rate their top five favorite books in the September 2003 issue. <I>Statistical Methods for Reliability Data</I> was among those chosen. <p> Bringing statistical methods for reliability testing in line with the computer age This volume presents s
Methods for Statistical Analysis of Reliability and Life Data
β Scribed by Nancy R. Mann; Ray E. Schafer; Nozer D. Singpurwalla
- Publisher
- WileyβBlackwell
- Year
- 1975
- Tongue
- English
- Leaves
- 584
- Series
- Wiley Series in Probability and Statistics - Applied Probability and Statistics Section
- Edition
- 1
- Category
- Library
No coin nor oath required. For personal study only.
β¦ Table of Contents
- Introduction
- Elements of Probability Theory
- Elements of Statistical Theory
- Statistical Failure Models
- Point and Interval Estimation Procedures for Lifetime Distributions (Failure Models)
- Testing Reliability Hypotheses
- Goodness of Fit, Monte Carlo, and Distribution-Free Methods
- Bayes Methods in Reliability
- Accelerated Life Testing and Related Topics
- System Reliability
Index
π SIMILAR VOLUMES
Amstat News asked three review editors to rate their top five favorite books in the September 2003 issue. Statistical Methods for Reliability Data was among those chosen.Bringing statistical methods for reliability testing in line with the computer age This volume presents state-of-the-art, computer
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 analyzi
This book is meant for postgraduate modules that cover lifetime data in reliability and survival analysis as taught in statistics, engineering statistics and medical statistics courses. It is helpful for researchers who wish to choose appropriate models and methods for analyzing lifetime data. There
<i>Statistical Models and Methods for Reliability and Survival Analysis</i> brings together contributions by specialists in statistical theory as they discuss their applications providing up-to-date developments in methods used in survival analysis, statistical goodness of fit, stochastic processes