Recurrent Events Data Analysis for Product Repairs, Disease Recurrences, and Other Applications - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Recurrent Events Data Analysis for Product Repairs, Disease Recurrences, and Other Applications write by Wayne B. Nelson. This book was released on 2003-01-01. Recurrent Events Data Analysis for Product Repairs, Disease Recurrences, and Other Applications available in PDF, EPUB and Kindle. Survival data consist of a single event for each population unit, namely, end of life, which is modeled with a life distribution. However, many applications involve repeated-events data, where a unit may accumulate numerous events over time. This applied book provides practitioners with basic nonparametric methods for such data.
Statistical Roundtables
Statistical Roundtables - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Statistical Roundtables write by Christine M. Anderson-Cook. This book was released on 2016-04-22. Statistical Roundtables available in PDF, EPUB and Kindle. Quality Progress, the flagship journal of ASQ, has been publishing the column Statistics Roundtable since 1999. With over 130 contributions from leading authors in applied statistics, the column has been highly successful and widely read. This book collects 90 of the most interesting and useful articles on some key topics. The editors have constructed this book to be a resource for statisticians and practitioners alike with short, accessible, practical advice in important core areas of statistics from world-renowned experts. This book is intended to be an informative read, with bite-sized columns, as well as a starting point for deeper exploration of key statistical areas. The book contains nine chapters with collections of articles on the following topics: Statistical engineering Data quality and measurement Data collection Key statistical tools Quality control Reliability Multiple response and meta-analysis Applications Communication and training Chapter introductions provide a quick overview of the material contained in the columns of that chapter, as well as complementary articles for that topic that appear elsewhere in the book. Also included at the end of the each chapter introduction is a short list of key references that can provide additional details or examples for material in the topic area.
Statistical Analysis of Panel Count Data
Statistical Analysis of Panel Count Data - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Statistical Analysis of Panel Count Data write by Jianguo Sun. This book was released on 2013-10-09. Statistical Analysis of Panel Count Data available in PDF, EPUB and Kindle. Panel count data occur in studies that concern recurrent events, or event history studies, when study subjects are observed only at discrete time points. By recurrent events, we mean the event that can occur or happen multiple times or repeatedly. Examples of recurrent events include disease infections, hospitalizations in medical studies, warranty claims of automobiles or system break-downs in reliability studies. In fact, many other fields yield event history data too such as demographic studies, economic studies and social sciences. For the cases where the study subjects are observed continuously, the resulting data are usually referred to as recurrent event data. This book collects and unifies statistical models and methods that have been developed for analyzing panel count data. It provides the first comprehensive coverage of the topic. The main focus is on methodology, but for the benefit of the reader, the applications of the methods to real data are also discussed along with numerical calculations. There exists a great deal of literature on the analysis of recurrent event data. This book fills the void in the literature on the analysis of panel count data. This book provides an up-to-date reference for scientists who are conducting research on the analysis of panel count data. It will also be instructional for those who need to analyze panel count data to answer substantive research questions. In addition, it can be used as a text for a graduate course in statistics or biostatistics that assumes a basic knowledge of probability and statistics.
Reliability Engineering and Risk Analysis
Reliability Engineering and Risk Analysis - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Reliability Engineering and Risk Analysis write by Mohammad Modarres. This book was released on 2016-11-25. Reliability Engineering and Risk Analysis available in PDF, EPUB and Kindle. This undergraduate and graduate textbook provides a practical and comprehensive overview of reliability and risk analysis techniques. Written for engineering students and practicing engineers, the book is multi-disciplinary in scope. The new edition has new topics in classical confidence interval estimation; Bayesian uncertainty analysis; models for physics-of-failure approach to life estimation; extended discussions on the generalized renewal process and optimal maintenance; and further modifications, updates, and discussions. The book includes examples to clarify technical subjects and many end of chapter exercises. PowerPoint slides and a Solutions Manual are also available.
Applied Reliability
Applied Reliability - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Applied Reliability write by Paul A. Tobias. This book was released on 2011-08-26. Applied Reliability available in PDF, EPUB and Kindle. Since the publication of the second edition of Applied Reliability in 1995, the ready availability of inexpensive, powerful statistical software has changed the way statisticians and engineers look at and analyze all kinds of data. Problems in reliability that were once difficult and time consuming even for experts can now be solved with a few well
