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100   $a19850719d1982      uy         0
101 0 $aeng
135   $aur|n|---|||||
181   $ctxt
182   $cc
183   $acr
200 10$aApplied life data analysis /$fWayne Nelson
210   $aNew York $cWiley$dc1982
215   $a1 online resource (656 p.)
225 1 $aWiley series in probability and mathematical statistics,$x0271-6356
300   $aIncludes index.
311 08$a9780471094586 
311 08$a0471094587 
320   $aBibliography: p. 603-616.
327   $aAPPLIED LIFE DATA ANALYSIS; Contents; 1. Overview and Background; 2. Basic Concepts and Distributions for Product Life; 3. Probability Plotting of Complete and Singly Censored Data; 4. Graphical Analysis of Multiply Censored Data; 5. Series Systems and Competing Risks; 6. Analysis of Complete Data; 7. Linear Methods for Singly Censored Data; 8. Maximum Likelihood Analysis of Multiply Censored Data; 9. Analyses of Inspection Data (Quantal-Response and Interval Data); 10. Comparisons (Hypothesis Tests) for Complete Data; 11. Comparisons With Linear Estimators (Singly Censored and Complete Data)
327   $a12. Maximum Likelihood Comparisons (Multiply Censored and Other Data)13. Survey of Other Topics; Appendix A Tables; References; Index; 
330   $aApplied Life Data Analysis is a practical guide to statistical methods for predicting product life and reliability, and comparing improvements in product manufacturing, design, and application. It describes the use of graphical methods, the method of maximum likelihood, censored data analysis, linear estimation, prediction methods, and methods for complete, singly censored, multiply censored, interval, and quantalresponse data.
410  0$aWiley series in probability and mathematical statistics.
606   $aReliability (Engineering)
606   $aEngineering
615  0$aReliability (Engineering)
615  0$aEngineering.
676   $a620/.00452
700   $aNelson$b Wayne$f1936-$0105136
801  0$bMiAaPQ
801  1$bMiAaPQ
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906   $aBOOK
912   $a9911019585803321
996   $aApplied life data analysis$9194937
997   $aUNINA