02923oam 2200673I 450 991045920580332120200520144314.00-429-13960-81-4200-7391-510.1201/9781420073911 (CKB)2670000000044677(EBL)581728(OCoLC)680036278(SSID)ssj0000418046(PQKBManifestationID)11270224(PQKBTitleCode)TC0000418046(PQKBWorkID)10369954(PQKB)10816307(MiAaPQ)EBC581728(Au-PeEL)EBL581728(CaPaEBR)ebr10412008(CaONFJC)MIL692653(OCoLC)680622755(EXLCZ)99267000000004467720180331d2011 uy 0engur|n|---|||||txtccrFrailty models in survival analysis /Andreas WienkeBoca Raton :Taylor & Francis,2011.1 online resource (322 p.)Chapman & Hall/CRC biostatistics seriesA CRC title.1-322-61371-0 1-4200-7388-5 Includes bibliographical references and index.Front cover; Contents; List of Tables; List of Figures; Preface; Chapter 1: Introduction; Chapter 2: Survival Analysis; Chapter 3: Univariate Frailty Models; Chapter 4: Shared Frailty Models; Chapter 5: Correlated Frailty Models; Chapter 6: Copula Models; Appendix A; References; Back coverThe concept of frailty offers a convenient way to introduce unobserved heterogeneity and associations into models for survival data. In its simplest form, frailty is an unobserved random proportionality factor that modifies the hazard function of an individual or a group of related individuals. ""Frailty Models in Survival Analysis"" presents a comprehensive overview of the fundamental approaches in the area of frailty models. The book extensively explores how univariate frailty models can represent unobserved heterogeneity. It also emphasizes correlated frailty models as extensions of univariChapman & Hall/CRC biostatistics series.Failure time data analysisMathematicsSurvival analysis (Biometry)MathematicsMortalityMathematical modelsDemographyMathematicsElectronic books.Failure time data analysisMathematics.Survival analysis (Biometry)Mathematics.MortalityMathematical models.DemographyMathematics.519.5/46Wienke Andreas.988433MiAaPQMiAaPQMiAaPQBOOK9910459205803321Frailty models in survival analysis2260246UNINA01672nam 2200493 450 991074338040332120220819170937.0981-16-7353-5981-16-7352-7981-16-7353-5(MiAaPQ)EBC6816724(Au-PeEL)EBL6816724(CKB)19935019700041(OCoLC)1287131256(PPN)258845473(EXLCZ)991993501970004120220819d2022 uy 0engurcnu||||||||txtrdacontentcrdamediacrrdacarrierAlgorithmic mechanism design for internet of things services market design incentive mechanisms to facilitate the efficiency and sustainability of IoT ecosystem. /Yutao Jiao, Ping Wang and Dusit NiyatoSingapore :Springer Nature,[2022]©20221 online resource (120 pages)Print version: Jiao, Yutao Algorithmic Mechanism Design for Internet of Things Services Market Singapore : Springer Singapore Pte. Limited,c2022 9789811673528 Internet of thingsInternet industryResource allocationInternet of things.Internet industry.Resource allocation.004.678Jiao Yutao1426908Wang PingNiyato DusitMiAaPQMiAaPQMiAaPQBOOK9910743380403321Algorithmic mechanism design for internet of things services market3559346UNINA