Parametric and Semiparametric Models with Applications to Reliability, Survival Analysis, and Quality of Life

Description for Sales People: Parametric and semiparametric models are tools with a wide range of applications to reliability, survival analysis, and quality of life. This self-contained volume examines these tools in survey articles written by experts currently working on the development and evaluation of models and methods. While a number of chapters deal with general theory, several explore more specific connections and recent results in "real-world" reliability theory, survival analysis, and related fields. Specific topics covered include: * cancer prognosis using survival forests * short-term health problems related to air pollution: analysis using semiparametric generalized additive models * semiparametric models in the studies of aging and longevity This book will be of use as a reference text for general statisticians, theoreticians, graduate students, reliability engineers, health researchers, and biostatisticians working in applied probability and statistics. Table of Contents: Part I: Cox Models and Analyses Estimation in Partly Parametric Additive Cox Models / H. Lauter Nonparametric Maximum Likelihood Estimation in the Proportional Hazards Model with Covariate Measurement Error / J-F. Dupuy Diagnostics for Cox's Proportional Hazards Model / C. Caroni Part II: Degradation Models and Analyses Semiparametric Analysis of Degradation and Failure Time Data with Covariates / V. Bagdonavicius and M. Nikulin On a Degradation-Failure Model for Repairable Items / A. Lehmann Comparison of Parametric and Semiparametric Estimates in a Degradation Model with Covariates and Traumatic Censoring / V. Couallier Part III: Accelerated Failure Time Models and Analyses Accelerated Life Testing, Fuzzy Information and Generalized Probability / R. Viertl Asymptotic Theory in Rank Estimation for AFT Model under Fixed Censorship / Z. Jin and Z. Ying An Example of Optimal Design in Accelerated Experiments / L. Gerville-Reache Part IV: Aging Properties and Analyses Aspects of Multivariate Aging in Exchangeable Frailty Models / F. Spizzichino Semiparametric Models in the Studies of Aging and Longevity / A. I. Yashin Part V: Analyses of Censored and Truncated Data Semiparametric Transformation Models for Arbitrarily Censored and Truncated Data / C. Huber-Carol and F. Vonta EM Algorithm for Type-II Right Censored Bivariate Normal Data / N. Balakrishnan and J.-A. Kim Statistical Estimation Based on Interval Censored Data / M. S. Tikhov Part VI: Regression Methods and Applications The Covariate Order Method for Nonparametric Exponential Regression and Some Applications in Other Lifetime Models J. V. Kvaloy and B. H. Lindquist Effect of Ignoring Heterogeneity in Hazards Regression / H-D. I. Wu Part VII: Time-Series Analysis An Introduction to Efficient Estimation for SemiparametricTime Series / P. E. Greenwood, U. U. Mueller and W. Wefelmeyer Part VIII: Inferential Methods Distance-Based Multivariate Two Sample Tests / C. M. Cuadras and J. Fortiana Empirical Likelihood in Nonparametric and Semiparametric Models / P. Bertail Goodness of Fit Tests of L_2-Type / H. Liero Part IX: Multicentre Studies Asymptotic Properties of the CRT Estimators for Multicentre Studies / V. V. Anisimov and V. V. Fedorov Part X: Quality of Life Studies HRQoL and Concomitant Adjusted Mean Residual Life Analysis / P. K. Sen Semiparametric Approach to the Multivariate Mixed Rasch Model / M-L. Feddag and M. Mesbah Part XI: Breast Cancer Studies Breast Cancer Prognosis using Survival Forests / T. M. Hoang and V. L. Parsons Semiparametric Versus Parametric Regression Analysis Based on the Bounded Cumulative Hazard Model: An Application to Breast Cancer Recurrence K. M. Boucher, B. Asselain, A. D. Tsodikov and A. Y. Yakovlev Part XII: Inference for Processes Estimation of Analytic Spectral Density of Gaussian Stationary Processes / I. Ibragimov Sub-optimal Estimation of Unknown Function from Stationary Noisy Data / V. Solev On Parameter Estimation by Contaminated Observations of Ergodic Diffusion Processes / Yu. A. Kutoyants On Parameter Estimation for a Position-Dependent Marking of a Doubly Stochastic Poisson Process / H. Wendt and W. Kahle Discrete Time Semi-Markov Processes for Reliability and Survival Analysis: A Nonparametric Estimation Approach / V. Barbu and N. Limnios Non-parametric Estimation on Lifetimes of Subjects Exposed to Radiation from a Semi-Markov Process / A-L. Afchain Part XIII: Probability Theory and Applications An Extension of Levy's Formula to Weighted Wiener Processes / P. Deheuvels Sur l'Inegalite de Concentration de Doeblin-Levy, Rogozin, Kesten / J. BretagnollePublisher Marketing: Parametric and semiparametric models are tools with a wide range of applications to reliability, survival analysis, and quality of life. This self-contained volume examines these tools in survey articles written by experts currently working on the development and evaluation of models and methods. While a number of chapters deal with general theory, several explore more specific connections and recent results in "real-world" reliability theory, survival analysis and related fields. Specific topics covered include: * non-parametric estimation of lifetimes of subjects exposed to radiation * statistical analysis of simultaneous degradation-mortality data with covariates of the aged * estimation of maintenance efficiency in semiparametric imperfect repair models * cancer prognosis using survival forests * short-term health problems related to air pollution: analysis using semiparametric generalized additive models * parametric models in accelerated life testing and fuzzy data * semiparametric models in the studies of aging and longevity This book will be of use as a reference text for general statisticians, theoreticians, graduate students, reliability engineers, health researchers, and biostatisticians working in applied probability and statistics.

Contributor Bio:  Balakrishnan, N N. Balakrishnan is a Professor in the Department of Mathematics and Statistics at McMaster University, Hamilton, Ontario. Contributor Bio:  Limnios, Nikolaos Catherine Huber is an Emeritus professor at Universite de Paris Rene Descartes. Her research activity concerns nonparametric and semi-parametric theory of statistics and their applications in biology and medicine. She has several publications in particular in the field of survival analysis. She is the co-author and co-editor of several books in the above fields. Nikolaos Limnios is a professor at the University of Technology of Compiegne. His research and teaching activities concern stochastic processes, statistical inference and their applications in particular in reliability and survival analysis. He is the co-author and co-editor of several books in the above fields. Mounir Mesbah is a professor at the Universite Pierre et Marie Curie, Paris 6. His research and teaching activities concern statistics and its applications in health science and medicine (biostatistics). He is the co-author of several articles and co-editor of several books in the above fields. Mikhail Nikulin is a professor at the Universite Victor Segalen, and a member of the Institute of Mathematics at Bordeaux. His research and teaching activities concern mathematical statistics and its applications in reliability and survival analysis. He is the co-author and co-editor of several books in the above fields.