The Most Comprehensive Book on the Subject Chronicles the Development of the Weibull Distribution in Statistical Theory and Applied Statistics Exploring one of the most important distributions in statistics, The Weibull Distribution: A Handbook focuses on its origin, statistical properties, and related distributions. The book also presents various approaches to estimate the parameters of the Weibull distribution under all possible situations of sampling data as well as approaches to parameter and goodness-of-fit testing. Describes the Statistical Methods, Concepts, Theories, and Applications of This DistributionCompiling findings from dozens of scientific journals and hundreds of research papers, the author first gives a careful and thorough mathematical description of the Weibull distribution and all of its features. He then deals with Weibull analysis, using classical and Bayesian approaches along with graphical and linear maximum likelihood techniques to estimate the three Weibull parameters. The author also explores the inference of Weibull processes, Weibull parameter testing, and different types of goodness-of-fit tests and methods. Successfully Apply the Weibull ModelBy using inferential procedures for estimating, testing, forecasting, and simulating data, this self-contained, detailed handbook shows how to solve statistical life science and engineering problems.

This comprehensive textbook is a basic reference which should be recommended to students and teachers in engineering, technology and management as well as to the whole community of professionals already working in quality-related areas. The book aims to be a step-by-step introduction to statistical quality assurance. It has been specifically designed for self-study and includes over 100 fully solved exercises and worked examples. In addition to traditional quality control procedures the book also presents very carefully elaborated results of recent research in order to encourage their adoption into practice.

This comprehensive textbook is a basic reference which should be recommended to students and teachers in engineering, technology and management as well as to the whole community of professionals already working in quality-related areas.
The book aims to be a step-by-step introduction to statistical quality assurance. It has been specifically designed for self-study and includes over 100 fully solved exercises and worked examples. In addition to traditional quality control procedures the book also presents very carefully elaborated results of recent research in order to encourage their adoption into practice.

The Most Comprehensive Book on the Subject

Chronicles the Development of the Weibull Distribution in Statistical Theory and Applied Statistics
Exploring one of the most important distributions in statistics, The Weibull Distribution: A Handbook focuses on its origin, statistical properties, and related distributions. The book also presents various approaches to estimate the parameters of the Weibull distribution under all possible situations of sampling data as well as approaches to parameter and goodness-of-fit testing.

Describes the Statistical Methods, Concepts, Theories, and Applications of This Distribution
Compiling findings from dozens of scientific journals and hundreds of research papers, the author first gives a careful and thorough mathematical description of the Weibull distribution and all of its features. He then deals with Weibull analysis, using classical and Bayesian approaches along with graphical and linear maximum likelihood techniques to estimate the three Weibull parameters. The author also explores the inference of Weibull processes, Weibull parameter testing, and different types of goodness-of-fit tests and methods.

Successfully Apply the Weibull Model
By using inferential procedures for estimating, testing, forecasting, and simulating data, this self-contained, detailed handbook shows how to solve statistical life science and engineering problems.

Neben der Wurdigung von Kurt Weichselberger enthalt die Festschrift 26 Beitrage namhafter Autoren zur Statistik und Wahrscheinlichkeitslehre. Teils handelt es sich um neue Ergebnisse, teils um Ubersichtsartikel. Die Arbeiten in Teil A betreffen Geschichte und Grundlagen von Okonometrie, Statistik und Wahrscheinlichkeitsrechnung. Die Texte zur theoretischen Statistik in Teil B befassen sich mit Spiel- und Wettstrategien, Zeitreihenanalyse, stochastischer Ordnung, Dispersionsvergleich und Symmetrisierungshalbordnungen, Robustheit, Faktoren- und Hauptkomponentenanalyse, Versuchsauswertung sowie unscharfen Daten. Teil C enthalt Arbeiten zur Stichprobenmethodik und aus verschiedenen Anwendungsgebieten der Statistik, namlich den Wirtschaftswissenschaften, der Bevolkerungs- und Sozialwissenschaft sowie der Technik.

Die multivarianten Analysemethoden, bei denen mehrere Variablen simultan untersucht werden, wurden in den letzten Jahrzehnten stark ausgebaut, dank der Verfugbarkeit leistungsfahiger Rechner. Rinnes Einfuhrung stellt die grundsatzlichen Verfahren vor und zeigt die typischen Fragestellungen. Sie schliesst an das statistische Grundstudium an."