Survival Analysis: State of the Art: NATO Science Series E:, cartea 211
Editat de John P. Klein, P.K. Goelen Limba Engleză Hardback – 29 feb 1992
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Specificații
ISBN-13: 9780792316343
ISBN-10: 0792316347
Pagini: 451
Ilustrații: X, 451 p.
Dimensiuni: 210 x 297 x 25 mm
Greutate: 0.83 kg
Ediția:1992
Editura: SPRINGER NETHERLANDS
Colecția Springer
Seria NATO Science Series E:
Locul publicării:Dordrecht, Netherlands
ISBN-10: 0792316347
Pagini: 451
Ilustrații: X, 451 p.
Dimensiuni: 210 x 297 x 25 mm
Greutate: 0.83 kg
Ediția:1992
Editura: SPRINGER NETHERLANDS
Colecția Springer
Seria NATO Science Series E:
Locul publicării:Dordrecht, Netherlands
Public țintă
ResearchCuprins
Life Testing and Reliability Estimation Under Asymmetric Loss.- Bayesian Computations In Survival Models Via the Gibbs Sampler.- Bayesian Nonparametric Survival Analysis: A Comparison of the Kaplan-Meier and Berliner-Hill Estimators.- Modelling Time-Varying Hazards and Covariate Effects.- Analysis of Trials with Treatment — Individual Interactions.- Assessment of Dependence In the Life Times of Twins.- Estimating Random Effects In the Framingham Heart Study.- Survival Analysis in Genetics: Danish Twin Data Applied To a Gerontological Question.- Some Issues in the Collection and Analysis of Field Reliability Data.- Bayesian Modelling For Fatigue Crack Curves.- Statistical Analysis Of a Weibull Process With Left- Censored Data.- Kernel Density Estimation from Record-Breaking Data.- Semiparametric Estimation Of Parametric Hazard Rates.- Cox-Type Regression Analysis for Large Numbers of Small Groups of Correlated Failure Time Observations.- Information Bounds For the Additive and Multiplicative Intensity Models.- Survival Analysis For Left Censored Data.- Regression Analysis for Discrete and Continuous Truncated and Eventually Censored Data.- Independent Delayed Entry.- Periodic Inspections in a Longitudinal Study: Viewing Occult Tumors Through a Filter.- Survival Under Multiple Time Scales in Dynamic Environments.- Nonparametric Identifiability of Marginal Survival Distributions in the Presence of Dependent Competing Risks and a Prognostic Covariate.- Frailty Models For Multiple Event Times.- A Nonparametric Approach To Dependence For Bivariate Censored Data.- Marginal and Conditional Models for the Analysis of Multivariate Failure Time Data.- Multivariate Failure Time Analysis: Discussion of Papes by Oakes; Pons, Kaddour and De Turckheim; and Prentice and Cai.- SurvivorFunctions as Dependent Variables In Demographic Analysis.- Relation Between The Rate Of Return To Tenure, Earnings Growth and Job Switching.- List of Contributors.