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Statistical Degradation Data Analysis: Semiparametric and Nonparametric Stochastic Process Approaches

Statistical Degradation Data Analysis: Semiparametric and Nonparametric Stochastic Process Approaches

Hardcover

Series: Emerging Topics in Statistics and Biostatistics

Probability & Statistics

PREORDER - Expected ship date October 28, 2026

ISBN10: 3032278155
ISBN13: 9783032278159
Publisher: Springer
Published: Oct 28 2026
Pages: 199
Language: English
This book provides a systematic treatment of efficient methods for modeling, analyzing, and designing degradation tests, with particular emphasis on stochastic-process-based semiparametric and nonparametric approaches motivated by practical applications.

Statistical Degradation Data Analysis: Semiparametric and Nonparametric Stochastic Process Approaches compares parametric, semiparametric, and nonparametric methods through Monte Carlo simulation studies and real data examples, and demonstrates how these methodologies can be applied across a range of disciplines. The book also discusses extensions and open problems in this area.

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Probability & Statistics