Statistical Modeling for Degradation Data / edited by Ding-Geng (Din) Chen, Yuhlong Lio, Hon Keung Tony Ng, Tzong-Ru Tsai.

Format:

Book

Contributor:

Chen, Ding-Geng (Din)., Editor.

Lio, Yuhlong., Editor.

Ng, Hon Keung Tony., Editor.

Tsai, Tzong-Ru., Editor.

Series:

ICSA Book Series in Statistics, 2199-0999

Language:

English

Subjects (All):

Statistics.

Statistical Theory and Methods.

Statistics in Business, Management, Economics, Finance, Insurance.

Local Subjects:

Statistical Theory and Methods.

Statistics in Business, Management, Economics, Finance, Insurance.

Physical Description:

1 online resource (XVIII, 376 p. 109 illus., 67 illus. in color.)

Edition:

1st ed. 2017.

Place of Publication:

Singapore : Springer Nature Singapore : Imprint: Springer, 2017.

Summary:

This book focuses on the statistical aspects of the analysis of degradation data. In recent years, degradation data analysis has come to play an increasingly important role in different disciplines such as reliability, public health sciences, and finance. For example, information on products’ reliability can be obtained by analyzing degradation data. In addition, statistical modeling and inference techniques have been developed on the basis of different degradation measures. The book brings together experts engaged in statistical modeling and inference, presenting and discussing important recent advances in degradation data analysis and related applications. The topics covered are timely and have considerable potential to impact both statistics and reliability engineering.

Contents:

I. Review and Theoretical Framework

Chapter 1: Stochastic Accelerated Degradation Models Based on a Generalized Cumu-lative Damage Approach

Chapter 2: Hierarchical Bayesian Change-Point Analysis for Nonlinear Degradation Data

Chapter 3: Degradation Modeling, Analysis, and Applications on Residual Life Predic-tion

Chapter 4: On Some Shock Models with Poisson and Generalized Poisson Shock Processes

Chapter 5: Degradation Based Reliability Modeling and Assessment of Complex Systems in Dynamic Environments

Chapter 6: A Survey of the Modeling and Applications on Non-Destructive and De-structive Degradation Tests

II. Modeling and Experimental Designs

Chapter 7: Degradation Test Plan for a Nonlinear Random-Coefficients Model

Chapter 8: Optimal Designs for LED Degradation Modeling

Chapter 9: Gamma Degradation Models: Inferences and Optimal Designs

Chapter 10: Model Misspecification analysis of Inverse Gaussian and Gamma Degrada-tion Processes

III. Applications

Chapter 11: Practical Application of Fréchet Shock-Degradation Models for System Failures

Chapter 12: Statistical Methods for Thermal Index Estimation Based on Accelerated Destructive Degradation Test Data

Chapter 13: Inference on Remaining Useful Life Under Gamma Degradation Models with Random effects.

Chapter 14: ADDT: An R Package for Analysis of Accelerated Destructive Degradation Test Data

Chapter 15: Modeling and Inference of CD4 Data. .

Notes:

Includes bibliographical references and index.

ISBN:

981-10-5194-1