Description
BIRKHAUSER Statistical Models And Methods For Biomedical And Technical Systems 2009 Edition by Filia Vonta M.S. Nikulin Nikolaos Limnios Catherine Huber-Carol
This book deals with the mathematical aspects of survival analysis and reliability as well as other topics reflecting recent developments in the following areas: applications in epidemiology; probabilistic and statistical models and methods in reliability; models and methods in survival analysis longevity aging and degradation; accelerated life models; quality of life; new statistical challenges in genomics.The work will be useful to a broad interdisciplinary readership of researchers and practitioners in applied probability and statistics industrial statistics biomedicine biostatistics and engineering. Table of contents : 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.