LEADER 01749nam 2200481 450 001 9910797752803321 005 20230213222334.0 010 $a0-19-976354-2 010 $a0-19-992320-5 035 $a(CKB)3710000000506750 035 $a(EBL)934459 035 $a(SSID)ssj0001142358 035 $a(PQKBManifestationID)12501300 035 $a(PQKBTitleCode)TC0001142358 035 $a(PQKBWorkID)11098336 035 $a(PQKB)11750834 035 $a(MiAaPQ)EBC5824825 035 $a(MiAaPQ)EBC934459 035 $a(EXLCZ)993710000000506750 100 $a20190731h19621955 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aAndrew Jackson $esymbol for an age /$fJohn William Ward 210 1$aLondon ;$aOxford ;$aNew York :$cOxford University Press,$d1962. 210 4$dİ1955 215 $a1 online resource (349 p.) 225 1 $aGalaxy Books 300 $aDescription based upon print version of record. 311 $a0-19-500699-2 327 $aCover Page; Title Page; Copyright Page; contents; Symbol for an Age; I In the Beginning Was New Orleans,; Nature; II The Hunters of Kentucky,'; III Nature's Nobleman,; IV The Plowman and the Professor,; V The Whigs Take to the Woods,; Providence; VI God's Right-Hand Man,; VII Extending the Area of Freedom,; Will; VIII The Man of Iron,; IX The Self-made Man,; X The Man of (Malleable) Iron,; Symbol; XI Coda,; Notes; Index 410 0$aGalaxy Books 676 $a973.56 700 $aWard$b John William$f1922-1985,$0977934 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910797752803321 996 $aAndrew Jackson$93852061 997 $aUNINA LEADER 04959nam 22005775 450 001 9910586592203321 005 20250604101830.0 010 $a3-030-88658-1 024 7 $a10.1007/978-3-030-88658-5 035 $a(MiAaPQ)EBC7068714 035 $a(Au-PeEL)EBL7068714 035 $a(CKB)24342174600041 035 $a(DE-He213)978-3-030-88658-5 035 $a(PPN)264194721 035 $a(EXLCZ)9924342174600041 100 $a20220801d2022 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aBayesian Inference and Computation in Reliability and Survival Analysis /$fedited by Yuhlong Lio, Ding-Geng Chen, Hon Keung Tony Ng, Tzong-Ru Tsai 205 $a1st ed. 2022. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2022. 215 $a1 online resource (367 pages) 225 1 $aEmerging Topics in Statistics and Biostatistics,$x2524-7743 311 08$aPrint version: Lio, Yuhlong Bayesian Inference and Computation in Reliability and Survival Analysis Cham : Springer International Publishing AG,c2022 9783030886578 320 $aIncludes bibliographical references and index. 327 $a1. A Bayesian Approach for Step-stress Accelerated Life-tests for One-shot Devices under Exponential Distributions -- 2. Bayesian Estimation of Stress-strength Parameter for Moran-Downton Bivariate Exponential Distribution under Progressive Type-II Censoring -- 3. Bayesian Computation in A Birnbaum-Saunders Reliability Model with Applications to Fatigue Data -- 4. A Competing Risks Model Based on A Two-parameter Exponential Family Distribution under Progressive Type-II Censoring -- 5. Bayesian Computations for Reliability Analysis in Dynamic Environments -- 6. Bayesian Analysis of Stochastic Processes in Reliability -- 7. Bayesian Analysis of A New Bivariate Wiener Degradation Process -- 8. Bayesian Estimation for Bivariate Gamma Processes with Copula -- 9. Review of Statistical Treatment for Oncology Dose Escalation Trial with Prolonged Evaluation Window or Fast Enrollment -- 10. A Bayesian Approach for the Analysis of Tumorigenicity Data from Sacrificial Experiments under Weibull Lifetimes -- 11. Bayesian Sensitivity Analysis in Survival and Longitudinal Trial with Missing Data -- 12. Bayesian Analysis for Clustered Data under A Semi-competing Risks Framework -- 13. Survival Analysis for the Inverse Gaussian Distribution: Natural Conjugate and Jeffrey?s Priors -- 14. Bayesian Inferences for Panel Count Data and Interval-censored Data with Nonparametric Modeling of the Baseline Functions -- 15. Bayesian Approach for Interval-censored Survival Data with Time-varying Coefficients -- 16. Bayesian Approach for Joint-modeling Longitudinal Data and Survival Data Simultaneously in Public Health Studies. 330 $aBayesian analysis is one of the important tools for statistical modelling and inference. Bayesian frameworks and methods have been successfully applied to solve practical problems in reliability and survival analysis, which have a wide range of real world applications in medical and biological sciences, social and economic sciences, and engineering. In the past few decades, significant developments of Bayesian inference have been made by many researchers, and advancements in computational technology and computer performance has laid the groundwork for new opportunities in Bayesian computation for practitioners. Because these theoretical and technological developments introduce new questions and challenges, and increase the complexity of the Bayesian framework, this book brings together experts engaged in groundbreaking research on Bayesian inference and computation to discuss important issues, with emphasis on applications to reliability and survival analysis. Topics covered are timely and have the potential to influence the interacting worlds of biostatistics, engineering, medical sciences, statistics, and more. The included chapters present current methods, theories, and applications in the diverse area of biostatistical analysis. The volume as a whole serves as reference in driving quality global health research. . 410 0$aEmerging Topics in Statistics and Biostatistics,$x2524-7743 606 $aStatistics 606 $aClinical medicine$xResearch 606 $aBayesian Inference 606 $aBayesian Network 606 $aClinical Research 615 0$aStatistics. 615 0$aClinical medicine$xResearch. 615 14$aBayesian Inference. 615 24$aBayesian Network. 615 24$aClinical Research. 676 $a519.542 676 $a519.542 702 $aLio$b Yuhlong 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910586592203321 996 $aBayesian inference and computation in reliability and survival analysis$92999171 997 $aUNINA