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

Statistical Modeling for Degradation Data

Ding-Geng (Din) Chen والمزيد
    • ‏89٫99 US$
    • ‏89٫99 US$

وصف الناشر

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.

النوع
علم وطبيعة
تاريخ النشر
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٣١ أغسطس
اللغة
EN
الإنجليزية
عدد الصفحات
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الناشر
Springer Nature Singapore
البائع
Springer Nature B.V.
الحجم
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‫م.ب.‬
Numerical Methods for Reliability and Safety Assessment Numerical Methods for Reliability and Safety Assessment
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Mathematical Methods in Survival Analysis, Reliability and Quality of Life Mathematical Methods in Survival Analysis, Reliability and Quality of Life
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Design of Experiments for Reliability Achievement Design of Experiments for Reliability Achievement
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First Hitting Time Regression Models First Hitting Time Regression Models
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Lifetime Data Lifetime Data
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Industrial Data Analytics for Diagnosis and Prognosis Industrial Data Analytics for Diagnosis and Prognosis
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Applied Meta-Analysis with R and Stata Applied Meta-Analysis with R and Stata
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Statistical Causal Inferences and Their Applications in Public Health Research Statistical Causal Inferences and Their Applications in Public Health Research
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Advanced Statistical Analytics for Health Data Science with SAS and R Advanced Statistical Analytics for Health Data Science with SAS and R
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Modern Biostatistical Methods for Evidence-Based Global Health Research Modern Biostatistical Methods for Evidence-Based Global Health Research
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Statistical Regression Modeling with R Statistical Regression Modeling with R
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Statistical Modeling in Biomedical Research Statistical Modeling in Biomedical Research
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Sampling Theory and Practice Sampling Theory and Practice
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Statistical Causal Inferences and Their Applications in Public Health Research Statistical Causal Inferences and Their Applications in Public Health Research
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Dose Finding and Beyond in Biopharmaceutical Development Dose Finding and Beyond in Biopharmaceutical Development
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Modeling Binary Correlated Responses Modeling Binary Correlated Responses
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Statistics in Precision Health Statistics in Precision Health
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Statistical Inference Under Mixture Models Statistical Inference Under Mixture Models
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