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Survival Analysis: State of the Art - John P. Klein; P.K. Goel
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2010, ISBN: 9789048141333

Buch, Softcover, Softcover reprint of hardcover 1st ed. 1992, Survival analysis is a highly active area of research with applications spanning the physical, engineering, biological, and s… Plus…

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John P. Klein (Editor), P.K. Goel (Editor):

Survival Analysis: State of the Art (Nato Science Series E: (closed)) - Livres de poche

2010, ISBN: 9789048141333

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Springer, 2010-12-01. Softcover reprint of hardcover 1. Paperback. Used:Good., Springer, 2010-12-01, 0

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Survival Analysis: State of the Art (Nato Science Series E:) [Soft Cover ] - Livres de poche

2010

ISBN: 9048141338

[EAN: 9789048141333], Neubuch, [PU: Springer], This item is printed on demand, Books

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Survival Analysis: State of the Art - Livres de poche

1992, ISBN: 9048141338

[EAN: 9789048141333], Neubuch, [PU: Springer Netherlands], 468 pages. 9.00x6.00x1.05 inches. In Stock., Books

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Survival Analysis: State of the Art - Livres de poche

2010, ISBN: 9048141338

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Informations détaillées sur le livre - Survival Analysis: State of the Art


EAN (ISBN-13): 9789048141333
ISBN (ISBN-10): 9048141338
Version reliée
Livre de poche
Date de parution: 2010
Editeur: Springer
464 Pages
Poids: 0,696 kg
Langue: eng/Englisch

Livre dans la base de données depuis 2011-10-25T14:53:55+02:00 (Zurich)
Page de détail modifiée en dernier sur 2023-07-24T13:38:27+02:00 (Zurich)
ISBN/EAN: 9789048141333

ISBN - Autres types d'écriture:
90-481-4133-8, 978-90-481-4133-3
Autres types d'écriture et termes associés:
Auteur du livre: goel, klein, prem
Titre du livre: close, art survival and forth, state the art, survival analysis


Données de l'éditeur

Auteur: John P. Klein; P.K. Goel
Titre: NATO Science Series E:; Survival Analysis: State of the Art
Editeur: Springer; Springer Netherland
451 Pages
Date de parution: 2010-12-15
Dordrecht; NL
Imprimé / Fabriqué en
Langue: Anglais
106,99 € (DE)
109,99 € (AT)
118,00 CHF (CH)
POD
X, 451 p.

BC; Hardcover, Softcover / Mathematik/Wahrscheinlichkeitstheorie, Stochastik, Mathematische Statistik; Wahrscheinlichkeitsrechnung und Statistik; Verstehen; Estimator; Radiologieinformationssystem; Regression analysis; Survival analysis; calculus; modeling; statistical analysis; quality control, reliability, safety and risk; Probability Theory; Statistics; Security Science and Technology; Biostatistics; Econometrics; Stochastik; Sicherheitssysteme und Brandmeldeanlagen; Ökonometrie und Wirtschaftsstatistik; BB

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.

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