LEADER 02979nam 2200637Ia 450 001 9910830321003321 005 20230213211245.0 010 $a1-280-25300-2 010 $a9786610253005 010 $a0-471-72522-6 010 $a0-471-72523-4 035 $a(CKB)1000000000018917 035 $a(EBL)226561 035 $a(OCoLC)475932780 035 $a(SSID)ssj0000104730 035 $a(PQKBManifestationID)11133285 035 $a(PQKBTitleCode)TC0000104730 035 $a(PQKBWorkID)10080029 035 $a(PQKB)10783478 035 $a(SSID)ssj0000660900 035 $a(PQKBManifestationID)11453521 035 $a(PQKBTitleCode)TC0000660900 035 $a(PQKBWorkID)10705180 035 $a(PQKB)11208325 035 $a(MiAaPQ)EBC226561 035 $a(EXLCZ)991000000000018917 100 $a19850719d1982 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aApplied life data analysis$b[electronic resource] /$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 $a0-471-09458-7 320 $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$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910830321003321 996 $aApplied life data analysis$9194937 997 $aUNINA LEADER 01928nam 2200505 450 001 9910822247703321 005 20170918160212.0 010 $a1-4758-1365-1 035 $a(CKB)3710000000476331 035 $a(EBL)4086142 035 $a(SSID)ssj0001546055 035 $a(PQKBManifestationID)16133268 035 $a(PQKBTitleCode)TC0001546055 035 $a(PQKBWorkID)14277520 035 $a(PQKB)11089160 035 $a(MiAaPQ)EBC4086142 035 $a(EXLCZ)993710000000476331 100 $a20160329h20152015 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aSingle-sex schools $ea place to learn /$fCornelius Riordan 210 1$aLanham, Maryland :$cRowman & Littlefield Publishers,$d2015. 210 4$dİ2015 215 $a1 online resource (83 p.) 300 $aDescription based upon print version of record. 311 $a1-4758-1364-3 311 $a1-4758-1363-5 320 $aIncludes bibliographical references. 327 $aContents; Acknowledgments; 1 Educational Politics and Educational Policy; 2 Some Simple Assumptions; 3 What Are School Effects and How Do We Measure Them?; 4 What Do We Know about Single-Sex School Effects?; 5 The Effects of Single-Sex Schools Are Larger for At-Risk Students; 6 What Do We Know about Public Single-Sex Schools?; 7 Why Are Single-Sex Schools More Effective Than Coeducational Schools?; 8 Groups and Organizations Matter; References 606 $aSingle-sex schools$zUnited States 606 $aSex differences in education$zUnited States 615 0$aSingle-sex schools 615 0$aSex differences in education 676 $a371.821 700 $aRiordan$b Cornelius H.$f1940-$01684925 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910822247703321 996 $aSingle-sex schools$94056683 997 $aUNINA