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Parametric and Semiparametric Models with Applications to Reliability, Survival Analysis, and Quality of Life : Statistics for Industry and Technology - Mikhail Nikulin

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

Statistics for Industry and Technology

By: Mikhail Nikulin (Editor), N. Balakrishnan (Editor), M. Mesbah (Editor), Nikolaos Limnios (Editor)

Hardcover Published: 24th June 2004
ISBN: 9780817632311
Number Of Pages: 555

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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.

Cox Models and Analyses
Estimation in Partly Parametric Additive Cox Models
Nonparametric Maximum Likelihood Estimation in the Proportional Hazards Model with Covariate Measurement Error
Diagnostics for Cox's Proportional Hazards Model
Degradation Models and Analyses
Semiparametric Analysis of Degradation and Failure Time Data with Covariates
On a Degradation-Failure Model for Repairable Items
Comparison of Parametric and Semiparametric Estimates in a Degradation Model with Covariates and Traumatic Censoring
Accelerated Failure Time Models and Analyses
Accelerated Life Testing, Fuzzy Information and Generalized Probability
Asymptotic Theory in Rank Estimation for AFT Model under Fixed Censorship
An Example of Optimal Design in Accelerated Experiments
Aging Properties and AnalysesAspects of Multivariate Aging in Exchangeable Frailty Models
Semiparametric Models in the Studies of Aging and Longevity
Analyses of Censored and Truncated Data
Semiparametric Transformation Models for Arbitrarily Censored and Truncated Data
EM Algorithm for Type-II Right Censored Bivariate Normal Data
Statistical Estimation Based on Interval Censored Data
Regression Methods and Applications
The Covariate Order Method for Nonparametric Exponential Regression and Some Applications in Other Lifetime Models
Effect of Ignoring Heterogeneity in Hazards Regression
Time-Series Analysis
An Introduction to Efficient Estimation for Semiparametric Time Series
Inferential Methods
Distance-Based Multivariate Two Sample Tests
Empirical Likelihood in Nonparametric and Semiparametric Models
Goodness of Fit Tests of L_2-Type
Multicentre Studies
Asymptotic Properties of the CRT Estimators for Multicentre Studies
Quality of Life Studies
HRQoL and Concomitant Adjusted Mean Residual Life Analysis
Semiparametric Approach to the Multivariate Mixed Rasch Model
Breast Cancer StudiesBreast Cancer Prognosis using Survival Forests
Semiparametric Versus Parametric Regression Analysis Based on the Bounded Cumulative Hazard Model: An Application to Breast Cancer Recurrence
Inference for Processes
Estimation of Analytic Spectral Density of Gaussian Stationary Processes
Sub-optimal Estimation of Unknown Function from Stationary Noisy Data
On Parameter Estimation by Contaminated Observations of Ergodic Diffusion Processes
On Parameter Estimation for a Position-Dependent Marking of a Doubly Stochastic Poisson Process
Discrete Time Semi-Markov Processes for Reliability and Survival Analysis: A Nonparametric Estimation Approach
Non-parametric Estimation on Lifetimes of Subjects Exposed to Radiation from a Semi-Markov Process
Probability Theory and Applications
An Extension of Levy's Formula to Weighted Wiener Processes
Subject Index
Table of Contents provided by Publisher. All Rights Reserved.

ISBN: 9780817632311
ISBN-10: 081763231X
Series: Statistics for Industry and Technology
Audience: Professional
Format: Hardcover
Language: English
Number Of Pages: 555
Published: 24th June 2004
Country of Publication: US
Dimensions (cm): 25.4 x 17.8  x 2.54
Weight (kg): 2.98

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