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Statistical Methods for Reliability Data (Wiley Series in Probability and Statistics) by William Q. Meeker, Luis A. Escobar is a nonfiction available to read on EtoBox.

What is Statistical Methods for Reliability Data (Wiley Series in Probability and Statistics) about?

<p><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> <p>Bringing statistical methods for reliability testing in line with the computer age This volume presents state-of-the-art, computer-based statistical methods for reliability data analysis and test planning for industrial products. <i>Statistical Methods for Reliability Data</i> updates and improves established techniques as it demonstrates how to apply the new graphical, numerical, or simulation-based methods to a broad range of models encountered in reliability data analysis. It includes methods for planning reliability studies and analyzing degradation data, simulation methods used to complement large-sample asymptotic theory, general likelihood-based methods of handling arbitrarily censored data and truncated data, and more. In this book, engineers and statisticians in industry and academia will find:<br> </p> <ul> <li>A wealth of information and procedures developed to give products a competitive edge</li> <li>Simple examples of data analysis computed with the S-PLUS system-for which a s

Who reads Statistical Methods for Reliability Data (Wiley Series in Probability and Statistics)?

Author

William Q. Meeker, Luis A. Escobar

Publisher

Wiley-Interscience

Published

1998

Language

EN

ISBN

9780471673279

Category

nonfiction

Subjects

Mathematics, Engineering, Technology