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Statistical Models and Methods for Biomedical and Technical Systems

Statistical Models and Methods for Biomedical and Technical Systems

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Fr. 191.00 Taschenbuch

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Statistical Models and Methods for Biomedical and Technical Systems

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Beschreibung

Details

Einband

Gebundene Ausgabe

Erscheinungsdatum

12.09.2008

Herausgeber

Filia Vonta + weitere

Verlag

Birkhäuser Boston

Seitenzahl

556

Beschreibung

Rezension

From the reviews:

“This edited volume, the outcome of the International Conference on Statistical Models for Biological and Technical Systems, showcases the current research interests in survival analysis and reliability. … The book’s style and format are fine. Its organization makes it useful for its target audience. … The volume includes 37 tables and 55 figures, a nice feature.” (Technometrics, Vol. 51 (2), May, 2009)

Details

Einband

Gebundene Ausgabe

Erscheinungsdatum

12.09.2008

Herausgeber

Verlag

Birkhäuser Boston

Seitenzahl

556

Maße (L/B/H)

26/18.3/3.7 cm

Gewicht

1295 g

Auflage

2008

Sprache

Englisch

ISBN

978-0-8176-4464-2

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  • Statistical Models and Methods for Biomedical and Technical Systems
  • Cox Models, Analyses, and Extensions.- Extended Cox and Accelerated Models in Reliability, with General Censoring and Truncation.- Corrected Score Estimation in the Cox Regression Model with Misclassified Discrete Covariates.- A Varying-Coefficient Hazards Regression Model for Multiple Cross-Effect.- Closure Properties and Diagnostic Plots for the Frailty Distribution in Proportional Hazards Models.- Multivariate Survival Data With Censoring.- Reliability Theory—Degradation Models.- Virtual (Biological) Age Versus Chronological Age.- A Competing Risks Model for Degradation and Traumatic Failure Times.- Generalized Birth and Death Processes as Degradation Models.- Nonperiodic Inspections to Guarantee a Prescribed Level of Reliability.- Optimal Incomplete Maintenance for Weibull Failure Processes.- Are Nonhomogeneous Poisson Process Models Preferable to General-Order Statistics Models for Software Reliability Estimation?.- Multistate System Reliability Assessment by Using the Markov Reward Model.- Inferential Analysis.- Asymptotic Certainty Bands for Kernel Density Estimators Based upon a Bootstrap Resampling Scheme.- Estimation of Rescaled Distribution.- Nested Plans for Sequential Change Point Detection—The Parametric Case.- Sampling in Survival Analysis and Estimation with Unknown Selection Bias and Censoring.- Testing the Acceleration Function in Lifetime Models.- Recent Achievements in Modified Chi-Squared Goodness-of-Fit Testing.- Goodness-of-Fit Tests for Pareto Distribution.- Application of Inverse Problems in Epidemiology and Biodemography.- Analysis of Censored Data.- A Sampling-Based Chi-Squared Test for Interval-Censored Data.- Semiparametric Regression Models for Interval-Censored Survival Data, With and Without Frailty Effects.- Exact Likelihood Inference for an Exponential Parameter Under Progressive Hybrid Censoring Schemes.- Quality of Life.- Sequential Analysis of Quality-of-Life Measurements Using Mixed Rasch Models.- Measuring Degradation of Quality-of-Life Related to Pollution in the SEQAP Study.- A Bayesian Ponders “The Quality of Life”.- Inference for Processes.- On the Goodness-of-Fit Tests for Some Continuous Time Processes.- Nonparametric Estimation of Integral Functionals for Semi-Markov Processes with Application in Reliability.- Estimators for Partially Observed Markov Chains.- On Solving Statistical Problems for the Stochastic Processes by the Sufficient Empirical Averaging Method.- Designs.- Adaptive Designs for Group Sequential Clinical Survival Experiments.- Optimal Two-Treatment Repeated Measurement Designs for Two Periods.- Measures of Divergence, Model Selection, and Survival Models.- Discrepancy-Based Model Selection Criteria Using Cross-Validation.- Focused Information Criteria for the Linear Hazard Regression Model.- On Measures of Information and Divergence and Model Selection Criteria.- Entropy and Divergence Measures for Mixed Variables.- New Statistical Challenges.- Clinical Trials and the Genomic Evolution: Some Statistical Perspectives.