The Birnbaum Saunders Distribution

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  • Author : Victor Leiva
  • Publisher : Academic Press
  • Pages : 154 pages
  • ISBN : 0128038276
  • Rating : /5 from reviews
CLICK HERE TO GET THIS BOOK >>>The Birnbaum Saunders Distribution

Download or Read online The Birnbaum Saunders Distribution full in PDF, ePub and kindle. this book written by Victor Leiva and published by Academic Press which was released on 26 October 2015 with total page 154 pages. We cannot guarantee that The Birnbaum Saunders Distribution book is available in the library, click Get Book button and read full online book in your kindle, tablet, IPAD, PC or mobile whenever and wherever You Like. The Birnbaum-Saunders Distribution presents the statistical theory, methodology, and applications of the Birnbaum-Saunders distribution, a very flexible distribution for modeling different types of data (mainly lifetime data). The book describes the most recent theoretical developments of this model, including properties, transformations and related distributions, lifetime analysis, and shape analysis. It discusses methods of inference based on uncensored and censored data, goodness-of-fit tests, and random number generation algorithms for the Birnbaum-Saunders distribution, also presenting existing and future applications. Introduces inference in the Birnbaum-Saunders distribution Provides a comprehensive review of the statistical theory and methodology of the Birnbaum-Distribution Discusses different applications of the Birnbaum-Saunders distribution Explains characterization and the lifetime analysis

The Birnbaum Saunders Distribution

The Birnbaum Saunders Distribution
  • Author : Victor Leiva
  • Publisher : Academic Press
  • Release : 26 October 2015
GET THIS BOOK The Birnbaum Saunders Distribution

The Birnbaum-Saunders Distribution presents the statistical theory, methodology, and applications of the Birnbaum-Saunders distribution, a very flexible distribution for modeling different types of data (mainly lifetime data). The book describes the most recent theoretical developments of this model, including properties, transformations and related distributions, lifetime analysis, and shape analysis. It discusses methods of inference based on uncensored and censored data, goodness-of-fit tests, and random number generation algorithms for the Birnbaum-Saunders distribution, also presenting existing and future applications. Introduces inference in

Statistical Quality Technologies

Statistical Quality Technologies
  • Author : Yuhlong Lio,Hon Keung Tony Ng,Tzong-Ru Tsai,Ding-Geng Chen
  • Publisher : Springer
  • Release : 09 August 2019
GET THIS BOOK Statistical Quality Technologies

This book explores different statistical quality technologies including recent advances and applications. Statistical process control, acceptance sample plans and reliability assessment are some of the essential statistical techniques in quality technologies to ensure high quality products and to reduce consumer and producer risks. Numerous statistical techniques and methodologies for quality control and improvement have been developed in recent years to help resolve current product quality issues in today’s fast changing environment. Featuring contributions from top experts in the field,