Buch, Englisch, 645 Seiten, Previously published in hardcover, Format (B × H): 155 mm x 235 mm, Gewicht: 9942 g
Applications to Reliability and Quality
Buch, Englisch, 645 Seiten, Previously published in hardcover, Format (B × H): 155 mm x 235 mm, Gewicht: 9942 g
Reihe: Statistics for Industry and Technology
ISBN: 978-1-4939-5084-3
Verlag: Springer
Key topics and features:
- Data sets from the literature as well as newly simulated data sets are used to illustrate concepts throughout the text
- Emphasis on real-life applications to life testing, reliability, and quality control
- Discussion of parametric and nonparametric inference
- Coverage of experimental design with optimal progressive censoring
The Art of Progressive Censoring is a valuable reference for graduate students, researchers, and practitioners inapplied statistics, quality control, life testing, and reliability. With its accessible style and concrete examples, the work may also be used as a textbook in advanced undergraduate or beginning graduate courses on censoring or progressive censoring, as well as a supplementary textbook for a course on ordered data.
Zielgruppe
Research
Autoren/Hrsg.
Fachgebiete
- Technische Wissenschaften Technik Allgemein Modellierung & Simulation
- Technische Wissenschaften Maschinenbau | Werkstoffkunde Produktionstechnik Industrielle Qualitätskontrolle
- Technische Wissenschaften Maschinenbau | Werkstoffkunde Produktionstechnik Zuverlässigkeitstechnik
- Technische Wissenschaften Technik Allgemein Mathematik für Ingenieure
- Technische Wissenschaften Technik Allgemein Technische Zuverlässigkeit, Sicherheitstechnik
- Mathematik | Informatik Mathematik Numerik und Wissenschaftliches Rechnen Angewandte Mathematik, Mathematische Modelle
Weitere Infos & Material
Part I: Distribution Theory and Models.- Progressive censoring: Data and models.- Progressive Type-II censoring: Distribution theory.- Further distributional results on progressive Type-II censoring.- Progressive Type-I censoring: Basic properties.- Progressive hybrid censoring: Distributions and properties.- Adaptive progressive Type-II censoring and related models.- Moments of progressively Type-II censored order statistics.- Simulation of progressively censored order statistics.- Information Measures.- Progressive Type-II censoring under non-standard conditions.- Part II: Inference.- Linear estimation in progressive Type-II censoring.- Maximum likelihood estimation in progressive Type-II censoring.- Point estimation in progressive Type-I censoring.- Progressive hybrid and adaptive censoring and related inference.- Bayesian inference for progressively Type-II censored data.- Point prediction from progressively Type-II censored samples.- Statistical intervals for progressively Type-IIcensored data.- Progressive Type-I interval censored data.- Goodness-of-fit-tests in progressive Type-II censoring.- Counting and quantile processes and progressive censoring.- Nonparametric inferential issues in progressive Type-II censoring.- Part III: Applications in Survival Analysis and Reliability.- Acceptance sampling plans.- Accelerated life-testing.- Stress-strength models with progressively censored data.- Multi-sample models.- Optimal experimental designs.- Part IV: Appendices.- Appendix A: Distributions.- Appendix B: Additional demonstrative datasets.- Notation.- References.- Author index.- Subject index.