Joseph G. Ibrahim – författare
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13 produkter
Handbook of Survival Analysis
Av John P. Klein, Hans C. van Houwelingen m. fl.
Häftad, 2020
1209 kr
Lägg i varukorg
Handbook of Survival Analysis presents modern techniques and research problems in lifetime data analysis. This area of statistics deals with time-to-event data that is complicated by censoring and the dynamic nature of events occurring in time.With chapters written by leading researchers in the …
Bayesian Survival Analysis
Av Joseph G. Ibrahim, Ming-Hui Chen m. fl.
Inbunden, 2001
2185 kr
Lägg i varukorg
Survival analysis arises in many fields of study including medicine, biology, engineering, public health, epidemiology, and economics. This book provides a comprehensive treatment of Bayesian survival analysis.Several topics are addressed, including parametric models, semiparametric models based on …
Monte Carlo Methods in Bayesian Computation
Av Ming-Hui Chen, Qi-Man Shao m. fl.
Inbunden, 2000
1096 kr
Lägg i varukorg
Sampling from the posterior distribution and computing posterior quanti ties of interest using Markov chain Monte Carlo (MCMC) samples are two major challenges involved in advanced Bayesian computation. This book examines each of these issues in detail and focuses heavily on comput ing various …
Handbook of Survival Analysis
Av Thomas H. Scheike, Joseph G. Ibrahim m. fl.
E-bok, 2016
1427 kr
Lägg i varukorg
Handbook of Survival Analysis presents modern techniques and research problems in lifetime data analysis. This area of statistics deals with time-to-event data that is complicated by censoring and the dynamic nature of events occurring in time. With chapters written by leading researchers in the …
Bayesian Survival Analysis
Av Joseph G. Ibrahim, Ming-Hui Chen m. fl.
Häftad, 2010
2180 kr
Lägg i varukorg
Survival analysis arises in many fields of study including medicine, biology, engineering, public health, epidemiology, and economics. This book provides a comprehensive treatment of Bayesian survival analysis.Several topics are addressed, including parametric models, semiparametric models based on …
Monte Carlo Methods in Bayesian Computation
Av Joseph G. Ibrahim, Qi-Man Shao m. fl.
E-bok, 2012
1459 kr
Lägg i varukorg
Sampling from the posterior distribution and computing posterior quanti ties of interest using Markov chain Monte Carlo (MCMC) samples are two major challenges involved in advanced Bayesian computation. This book examines each of these issues in detail and focuses heavily on comput ing various …
Monte Carlo Methods in Bayesian Computation
Av Ming-Hui Chen, Qi-Man Shao m. fl.
Häftad, 2021
426 kr
Lägg i varukorg
Monte Carlo Methods in Bayesian Computation
Av Ming-Hui Chen, Qi-Man Shao m. fl.
Häftad, 2012
1094 kr
Lägg i varukorg
Sampling from the posterior distribution and computing posterior quanti ties of interest using Markov chain Monte Carlo (MCMC) samples are two major challenges involved in advanced Bayesian computation. This book examines each of these issues in detail and focuses heavily on comput ing various …
Handbook of Survival Analysis
Av John P. Klein, Hans C. van Houwelingen m. fl.
Inbunden, 2013
4,0 utav 5 stjärnor. Totalt antal röster: (1)
3162 kr
Lägg i varukorg
Handbook of Survival Analysis presents modern techniques and research problems in lifetime data analysis. This area of statistics deals with time-to-event data that is complicated by censoring and the dynamic nature of events occurring in time.With chapters written by leading researchers in the …
Handbook of Survival Analysis
Av Thomas H. Scheike, Joseph G. Ibrahim m. fl.
E-bok, 2016
1427 kr
Lägg i varukorg
Handbook of Survival Analysis presents modern techniques and research problems in lifetime data analysis. This area of statistics deals with time-to-event data that is complicated by censoring and the dynamic nature of events occurring in time. With chapters written by leading researchers in the …
Bayesian Survival Analysis
Av Debajyoti Sinha, Ming-Hui Chen m. fl.
E-bok, 2013
2925 kr
Lägg i varukorg
Survival analysis arises in many fields of study including medicine, biology, engineering, public health, epidemiology, and economics. This book provides a comprehensive treatment of Bayesian survival analysis. Several topics are addressed, including parametric models, semiparametric models based …