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

Statistical Modeling for Degradation Data

Ding-Geng (Din) Chen 및 다른 저자
    • US$89.99
    • US$89.99

출판사 설명

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.

장르
과학 및 자연
출시일
2017년
8월 31일
언어
EN
영어
길이
394
페이지
출판사
Springer Nature Singapore
판매자
Springer Nature B.V.
크기
6.8
MB
Numerical Methods for Reliability and Safety Assessment Numerical Methods for Reliability and Safety Assessment
2014년
Mathematical Methods in Survival Analysis, Reliability and Quality of Life Mathematical Methods in Survival Analysis, Reliability and Quality of Life
2013년
Design of Experiments for Reliability Achievement Design of Experiments for Reliability Achievement
2022년
First Hitting Time Regression Models First Hitting Time Regression Models
2017년
Lifetime Data Lifetime Data
2015년
Industrial Data Analytics for Diagnosis and Prognosis Industrial Data Analytics for Diagnosis and Prognosis
2021년
Applied Meta-Analysis with R and Stata Applied Meta-Analysis with R and Stata
2021년
Statistical Causal Inferences and Their Applications in Public Health Research Statistical Causal Inferences and Their Applications in Public Health Research
2016년
Advanced Statistical Analytics for Health Data Science with SAS and R Advanced Statistical Analytics for Health Data Science with SAS and R
2025년
Modern Biostatistical Methods for Evidence-Based Global Health Research Modern Biostatistical Methods for Evidence-Based Global Health Research
2022년
Statistical Regression Modeling with R Statistical Regression Modeling with R
2021년
Statistical Modeling in Biomedical Research Statistical Modeling in Biomedical Research
2020년
Sampling Theory and Practice Sampling Theory and Practice
2020년
Statistical Causal Inferences and Their Applications in Public Health Research Statistical Causal Inferences and Their Applications in Public Health Research
2016년
Dose Finding and Beyond in Biopharmaceutical Development Dose Finding and Beyond in Biopharmaceutical Development
2024년
Modeling Binary Correlated Responses Modeling Binary Correlated Responses
2024년
Statistics in Precision Health Statistics in Precision Health
2024년
Statistical Inference Under Mixture Models Statistical Inference Under Mixture Models
2023년