Regression Analysis of 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 Regression Analysis of Count Data write by Adrian Colin Cameron. This book was released on 2013-05-27. Regression Analysis of Count Data available in PDF, EPUB and Kindle. This book provides the most comprehensive and up-to-date account of regression methods to explain the frequency of events.
Regression Analysis of Count Data
Regression Analysis of 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 Regression Analysis of Count Data write by A. Colin Cameron. This book was released on 1998-09-28. Regression Analysis of Count Data available in PDF, EPUB and Kindle. This analysis provides a comprehensive account of models and methods to interpret frequency data.
Modeling Count Data
Modeling 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 Modeling Count Data write by Joseph M. Hilbe. This book was released on 2014-07-21. Modeling Count Data available in PDF, EPUB and Kindle. This book provides guidelines and fully worked examples of how to select, construct, interpret and evaluate the full range of count models.
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.
Regression Analysis of Count Data
Regression Analysis of 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 Regression Analysis of Count Data write by A. Colin Cameron. This book was released on 2013-05-27. Regression Analysis of Count Data available in PDF, EPUB and Kindle. Students in both social and natural sciences often seek regression methods to explain the frequency of events, such as visits to a doctor, auto accidents, or new patents awarded. This book, now in its second edition, provides the most comprehensive and up-to-date account of models and methods to interpret such data. The authors combine theory and practice to make sophisticated methods of analysis accessible to researchers and practitioners working with widely different types of data and software in areas such as applied statistics, econometrics, marketing, operations research, actuarial studies, demography, biostatistics and quantitative social sciences. The new material includes new theoretical topics, an updated and expanded treatment of cross-section models, coverage of bootstrap-based and simulation-based inference, expanded treatment of time series, multivariate and panel data, expanded treatment of endogenous regressors, coverage of quantile count regression, and a new chapter on Bayesian methods.
