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Bücher Englische Bücher Wissen & Bildung Naturwissenschaft, Medizin, Informatik, Technik Mathematik Wahrscheinlichkeitstheorie & Statistik Statistical Degradation Data Analysis
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Statistical Degradation Data Analysis
Hon Keung Tony Ng, Lochana Palayangoda (Gebundene Ausgabe, Englisch)
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Beschreibung
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. In engineering and the sciences, degradation refers to the gradual and irreversible decline in the performance, reliability, or remaining life of a system or asset. Because many systems are equipped with sensors that collect degradation measurements over time, statistical degradation modeling plays an important role in understanding the evolution of such processes and supporting reliability assessment. A common approach to degradation data analysis is stochastic process modeling. Classical models such as the Wiener, gamma, and inverse Gaussian processes have been widely studied and applied. However, these parametric models require specific assumptions on the distributions of degradation increments and may perform poorly when those assumptions are violated. To address this limitation, semiparametric and nonparametric methods, which rely on fewer distributional assumptions, can provide more robust and reliable alternatives. This book is intended for senior undergraduates, graduate students, researchers, and practitioners. It can also serve as a reference for courses in lifetime data analysis or reliability engineering. Computer programs for numerical examples are provided to facilitate replication and practical implementation. Dieses Produkt haben wir gerade leider nicht auf Lager.
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Technische Daten
Erscheinungsdatum
13.07.2026
Sprache
Englisch
EAN
9783032278159
Herausgeber
Springer International Publishing
Serien- oder Bandtitel
Emerging Topics in Statistics and Biostatistics
Sonderedition
Nein
Autor
Hon Keung Tony Ng, Lochana Palayangoda
Seitenanzahl
192
Einbandart
Gebundene Ausgabe
Buch Untertitel
Semiparametric and Nonparametric Stochastic Process Approaches
Schlagwörter
Bootstrap, Copula, First-passage time distribution, Lèvy process, Maximum likelihood method, Optimal design, Reliability analysis, Saddlepoint approximation
Thema-Inhalt
PBT - Wahrscheinlichkeitsrechnung und Statistik
Höhe
235 mm
Breite
15.5 cm
Hersteller: Springer Nature Customer Service Center GmbH, Europaplatz 3, Heidelberg, Deutschland, 69115, ProductSafety@springernature.com
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