System Reliability Theory: Models and Statistical Methods (Wiley Series in Probability and Mathematical Statistics. Applied Probability and Statisti)
โ Scribed by Arnljot Hoyland, Marvin Rausand
- Publisher
- Wiley-Interscience
- Year
- 1994
- Tongue
- English
- Leaves
- 644
- Series
- Wiley Series in Probability and Mathematical Statistics. Applied Probability and Statisti
- Category
- Library
No coin nor oath required. For personal study only.
โฆ Synopsis
This is the most complete reliability book that I have seen. It is appropriate as both a textbook and a reference. It is well-written and easy to understand. I highly recommend this book for anybody interested in learning reliability theory.
๐ SIMILAR VOLUMES
The first work to deal exclusively with objective criteria for comparing statistical models. Using a simple framework, it outlines a general strategy for selecting a model and applies this strategy to develop methods useful for solving specific selection problems. Topics covered include histograms,
Most books in reliability theory are dealing with a description of component and system states as binary: functioning or failed. However, many systems are composed of multi-state components with different performance levels and several failure modes. There is a great need in a series of applications
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
This book discusses how to model a binary outcome variable from a linear regression analysis point of view. It develops the logistic regression model and describes its use in methods for modelling the relationship between a dichotomous outcome variable and a set of covariates. Discussion of the inte
In modern society, we are ever more aware of the environmental issues we face, whether these relate to global warming, depletion of rivers and oceans, despoliation of forests, pollution of land, poor air quality, environmental health issues, etc. At the most fundamental level it is necessary to moni