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Statistical Modeling for Degradation Data

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Cover of 'Statistical Modeling for Degradation Data'

Table of Contents

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    Book Overview
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    Chapter 1 Stochastic Accelerated Degradation Models Based on a Generalized Cumulative Damage Approach
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    Chapter 2 Hierarchical Bayesian Change-Point Analysis for Nonlinear Degradation Data
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    Chapter 3 Degradation Modeling, Analysis, and Applications on Lifetime Prediction
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    Chapter 4 On Some Shock Models with Poisson and Generalized Poisson Shock Processes
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    Chapter 5 Degradation-Based Reliability Modeling of Complex Systems in Dynamic Environments
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    Chapter 6 A Survey of Modeling and Application of Non-destructive and Destructive Degradation Tests
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    Chapter 7 Degradation Test Plan for a Nonlinear Random-Coefficients Model
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    Chapter 8 Optimal Designs for LED Degradation Modeling
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    Chapter 9 Gamma Degradation Models: Inference and Optimal Design
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    Chapter 10 Misspecification Analysis of Gamma with Inverse Gaussian Degradation Processes
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    Chapter 11 Practical Applications of a Family of Shock-Degradation Failure Models
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    Chapter 12 Statistical Methods for Thermal Index Estimation Based on Accelerated Destructive Degradation Test Data
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    Chapter 13 Inference on Remaining Useful Life Under Gamma Degradation Models with Random Effects
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    Chapter 14 ADDT: An R Package for Analysis of Accelerated Destructive Degradation Test Data
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    Chapter 15 Modeling and Inference of CD4 Data
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    Chapter 16 State Space Models Based Prognostic Methods for Remaining Useful Life Prediction of Rechargeable Batteries
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    Chapter 17 On System Identification for Accelerated Destructive Degradation Testing of Nonlinear Dynamic Systems
Attention for Chapter 15: Modeling and Inference of CD4 Data
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Chapter title
Modeling and Inference of CD4 Data
Chapter number 15
Book title
Statistical Modeling for Degradation Data
Published by
Springer, Singapore, January 2017
DOI 10.1007/978-981-10-5194-4_15
Book ISBNs
978-9-81-105193-7, 978-9-81-105194-4

Shuang He, Chuanhai Liu, Xiao Wang