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Bayesian Inference and Computation in Reliability and Survival Analysis [[electronic resource] /] / edited by Yuhlong Lio, Ding-Geng Chen, Hon Keung Tony Ng, Tzong-Ru Tsai
Bayesian Inference and Computation in Reliability and Survival Analysis [[electronic resource] /] / edited by Yuhlong Lio, Ding-Geng Chen, Hon Keung Tony Ng, Tzong-Ru Tsai
Edizione [1st ed. 2022.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2022
Descrizione fisica 1 online resource (367 pages)
Disciplina 519.542
Collana Emerging Topics in Statistics and Biostatistics
Soggetto topico Statistics
Clinical medicine - Research
Bayesian Inference
Bayesian Network
Clinical Research
Estadística bayesiana
Soggetto genere / forma Llibres electrònics
ISBN 3-030-88658-1
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto 1. 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.
Record Nr. UNISA-996485662503316
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2022
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Bayesian Inference and Computation in Reliability and Survival Analysis / / edited by Yuhlong Lio, Ding-Geng Chen, Hon Keung Tony Ng, Tzong-Ru Tsai
Bayesian Inference and Computation in Reliability and Survival Analysis / / edited by Yuhlong Lio, Ding-Geng Chen, Hon Keung Tony Ng, Tzong-Ru Tsai
Edizione [1st ed. 2022.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2022
Descrizione fisica 1 online resource (367 pages)
Disciplina 519.542
Collana Emerging Topics in Statistics and Biostatistics
Soggetto topico Statistics
Clinical medicine - Research
Bayesian Inference
Bayesian Network
Clinical Research
ISBN 3-030-88658-1
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto 1. 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.
Record Nr. UNINA-9910586592203321
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2022
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Bayesian Network Modeling of Corrosion / / edited by Narasi Sridhar
Bayesian Network Modeling of Corrosion / / edited by Narasi Sridhar
Autore Sridhar Narasi
Edizione [1st ed. 2024.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2024
Descrizione fisica 1 online resource (343 pages)
Disciplina 620.11223
Altri autori (Persone) Sridhar
Soggetto topico Corrosion and anti-corrosives
Statistics
Stochastic models
Surfaces (Technology)
Thin films
Coatings
Corrosion
Bayesian Network
Stochastic Modelling in Statistics
Surfaces, Interfaces and Thin Film
ISBN 9783031561283
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Chapter1. Introduction: Risk Assessment -- Chapter.2. Bayesian Network Basics -- Chaoter.3. Corrosion Models -- Chapter.4. Statistical Models: Propagation of Uncertainty and Monte Carlo modeling -- Chapter.5. Corrosion Risk Assessment in Pipelines -- Chapter.6. Oil and Gas Production Systems -- Chapter.7.Nuclear Energy -- Chapter.8. Localized Corrosion in Saline Environments -- Chapter.9. BN for reinforced concrete structures -- Chapter.10.Coatings -- Chapter.11.Summary and Future.
Record Nr. UNINA-9910869156003321
Sridhar Narasi  
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2024
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Bayesian Statistics, New Generations New Approaches : BAYSM 2022, Montréal, Canada, June 22–23 / / edited by Alejandra Avalos-Pacheco, Roberta De Vito, Florian Maire
Bayesian Statistics, New Generations New Approaches : BAYSM 2022, Montréal, Canada, June 22–23 / / edited by Alejandra Avalos-Pacheco, Roberta De Vito, Florian Maire
Autore Avalos-Pacheco Alejandra
Edizione [1st ed. 2023.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2023
Descrizione fisica 1 online resource (119 pages)
Disciplina 519.542
Altri autori (Persone) De VitoRoberta
MaireFlorian
Collana Springer Proceedings in Mathematics & Statistics
Soggetto topico Statistics
Statistical Theory and Methods
Bayesian Network
Bayesian Inference
Estadística bayesiana
Soggetto genere / forma Congressos
Llibres electrònics
ISBN 9783031424137
3031424131
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto J. Owen, I. Vernon, J. Carter, Bayesian Emulation of Complex Computer Models with Structured Partial Discontinuities -- B. Hansen, A. Avalos-Pacheco, M. Russo, Roberta De Vito, A Variational Bayes Approach to Factor Analysis. P. Strong, Jim Q. Smith, Scalable Model Selection for Staged Trees: Mean-posterior Clustering and Binary Trees -- G. Vasdekis, Gareth O. Roberts, Speeding up the Zig-Zag process -- V. Ghidini, S. Legramanti, R. Argiento, Extended Stochastic Block Model with Spatial Covariates for Weighted Brain Networks -- A. Lachi, C. Viscardi, M. Baccini, Approximate Bayesian inference for smoking habit dynamics in Tuscany.
Record Nr. UNINA-9910768195003321
Avalos-Pacheco Alejandra  
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2023
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Digressions in Elementary Probability : The Unexpected in Medicine, Sports, and Society / / by Edward Beltrami
Digressions in Elementary Probability : The Unexpected in Medicine, Sports, and Society / / by Edward Beltrami
Autore Beltrami Edward
Edizione [1st ed. 2024.]
Pubbl/distr/stampa Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024
Descrizione fisica 1 online resource (118 pages)
Disciplina 519.2
Collana Quantitative Methods in the Humanities and Social Sciences
Soggetto topico Social sciences - Statistical methods
Statistics
Multivariate analysis
Statistics in Social Sciences, Humanities, Law, Education, Behavorial Sciences, Public Policy
Bayesian Network
Multivariate Analysis
ISBN 3-031-70051-1
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Success Runs in Bernoulli Trials -- Chapter 2. The Remarkable Streak of Joe Di Maggio -- Chapter 3. Inherited, Not Acquired -- Chapter 4. A Subtle Bias -- Chapter 5. Addendum : Conditional Expectation -- Chapter 6. Hot Hands in Basketball -- Chapter 7. Restricted Choice -- Chapter 8. Another Conundrum : What Does Crowd Size at Wimbledon’s Tennis Match Tell us About Baseball Batting Averages?- Chapter 9. Cancer Clusters -- Chapter 10. Medical Mis-Readings -- Chapter 11. The Wrong Conclusion -- Chapter 12. Clinical Trials -- Chapter 13. Margin of Error -- Chapter 14. What Are the Odds of That?- Chapter 15. Turing’s Evidence -- Chapter 16. Bell’s Inequality -- Chapter 17. The Paradox of Random Arrivals -- Chapter 18. The Inverse Square Root Law -- Chapter 19. Runs, Again -- Chapter 20. Addendum : Tutorial on Elementary Probability.
Record Nr. UNINA-9910899895303321
Beltrami Edward  
Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Mixed-Effects Models and Small Area Estimation / / by Shonosuke Sugasawa, Tatsuya Kubokawa
Mixed-Effects Models and Small Area Estimation / / by Shonosuke Sugasawa, Tatsuya Kubokawa
Autore Sugasawa Shonosuke
Edizione [1st ed. 2023.]
Pubbl/distr/stampa Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023
Descrizione fisica 1 online resource (127 pages)
Disciplina 519.5
Collana JSS Research Series in Statistics
Soggetto topico Statistics
Applied Statistics
Statistical Theory and Methods
Bayesian Inference
Bayesian Network
Models multinivell (Estadística)
Soggetto genere / forma Llibres electrònics
ISBN 9789811994869
9811994862
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Introduction -- General Mixed-Effects Models and BLUP -- Measuring Uncertainty of Predictors -- Basic mixed-effects Models for Small Area Estimation -- Hypothesis Tests and Variable Selection -- Advanced Theory of Basic Small Area Models -- Small Area Models for Non-normal Response Variables -- Extensions of Basic Small Area Models.
Record Nr. UNINA-9910647774803321
Sugasawa Shonosuke  
Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Nonparametric Bayesian Inference : Contributions by Jean-Marie Rolin / / edited by Jean-Pierre Florens, Michel Mouchart
Nonparametric Bayesian Inference : Contributions by Jean-Marie Rolin / / edited by Jean-Pierre Florens, Michel Mouchart
Autore Florens Jean-Pierre
Edizione [1st ed. 2024.]
Pubbl/distr/stampa Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024
Descrizione fisica 1 online resource (370 pages)
Disciplina 519.5
Altri autori (Persone) MouchartMichel
Soggetto topico Statistics
Bayesian Inference
Bayesian Network
ISBN 3-031-61329-5
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Chapter 1. On the a-Algebraic Realization Problem -- Chapter 2. Weak Conditional Independence And Relative Invariance in Bayesian Statistics -- Chapter 3. Some Useful Properties of the Dirichlet Process -- Chapter 4. On the Distribution of Jumps of the Dirichlet Process -- Chapter 5. Bayes, Bootstrap, Moments -- Chapter 6. Smooth vs. likelihood estimation for a class of mixtures of discrete distributions -- Chapter 7. Bayesian Encompassing Specification Tests of a Parametric Model against a Non Parametric Alternative -- Chapter 8. Nonparametric Bayesian Survival Analysis -- Chapter 9. Simulation of Posterior Distributions in Nonparametric Censored Analysis -- Chapter 10. Bayesian Identification of Semi-Parametric Binary Response Models -- Chapter 11. Survival Data with Explanatory Processes: A Full Nonparametric Bayesian Analysis -- Chapter 12. Nonparametric Competing Risks Models: Identification and Strong Consistency.
Record Nr. UNINA-9910897977403321
Florens Jean-Pierre  
Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Stein Estimation / / by Yuzo Maruyama, Tatsuya Kubokawa, William E. Strawderman
Stein Estimation / / by Yuzo Maruyama, Tatsuya Kubokawa, William E. Strawderman
Autore Maruyama Yuzo
Edizione [1st ed. 2023.]
Pubbl/distr/stampa Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023
Descrizione fisica 1 online resource (0 pages)
Disciplina 519.544
Collana JSS Research Series in Statistics
Soggetto topico Statistics
Applied Statistics
Statistical Theory and Methods
Bayesian Inference
Bayesian Network
ISBN 9789819960774
9819960770
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto 1. Decision Theory Preliminaries -- 2. Minimaxity and Improvement on the James-Stein estimator -- 3. Admissibility.
Record Nr. UNINA-9910993944503321
Maruyama Yuzo  
Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui