Statistical Modeling for Degradation Data Statistical Modeling for Degradation Data
ICSA Book Series in Statistics

Statistical Modeling for Degradation Data

    • $89.99
    • $89.99

Publisher Description

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.

GENRE
Science & Nature
RELEASED
2017
August 31
LANGUAGE
EN
English
LENGTH
394
Pages
PUBLISHER
Springer Nature Singapore
SELLER
Springer Nature B.V.
SIZE
6.8
MB

More Books Like This

Numerical Methods for Reliability and Safety Assessment Numerical Methods for Reliability and Safety Assessment
2014
Mathematical Methods in Survival Analysis, Reliability and Quality of Life Mathematical Methods in Survival Analysis, Reliability and Quality of Life
2013
Design of Experiments for Reliability Achievement Design of Experiments for Reliability Achievement
2022
First Hitting Time Regression Models First Hitting Time Regression Models
2017
Lifetime Data Lifetime Data
2015
Industrial Data Analytics for Diagnosis and Prognosis Industrial Data Analytics for Diagnosis and Prognosis
2021

More Books by Ding-Geng (Din) Chen, Yuhlong Lio, Hon Keung Tony Ng & Tzong-Ru Tsai

Applied Meta-Analysis with R and Stata Applied Meta-Analysis with R and Stata
2021
Statistical Causal Inferences and Their Applications in Public Health Research Statistical Causal Inferences and Their Applications in Public Health Research
2016
Modern Biostatistical Methods for Evidence-Based Global Health Research Modern Biostatistical Methods for Evidence-Based Global Health Research
2022
Statistical Regression Modeling with R Statistical Regression Modeling with R
2021
Statistical Modeling in Biomedical Research Statistical Modeling in Biomedical Research
2020
Contemporary Biostatistics with Biopharmaceutical Applications Contemporary Biostatistics with Biopharmaceutical Applications
2019

Other Books in This Series

Sampling Theory and Practice Sampling Theory and Practice
2020
Statistical Causal Inferences and Their Applications in Public Health Research Statistical Causal Inferences and Their Applications in Public Health Research
2016
Statistical Inference Under Mixture Models Statistical Inference Under Mixture Models
2023
Emerging Topics in Modeling Interval-Censored Survival Data Emerging Topics in Modeling Interval-Censored Survival Data
2022
Advances and Innovations in Statistics and Data Science Advances and Innovations in Statistics and Data Science
2022
Statistical Methods for Global Health and Epidemiology Statistical Methods for Global Health and Epidemiology
2020