Wisconsin Continuous Count Data
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Wisconsin Continuous Count Data
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Author :
language : en
Publisher:
Release Date : 2006
Wisconsin Continuous Count Data written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006 with Traffic surveys categories.
Wisconsin Vehicle Classification Data
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Author :
language : en
Publisher:
Release Date : 1999
Wisconsin Vehicle Classification Data written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1999 with categories.
Evaluation Of Impacts Of Allowing Heavier Log Loads In Northern Wisconsin During Spring Thaw
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Author : Samuel Owusu-Ababio
language : en
Publisher:
Release Date : 2014
Evaluation Of Impacts Of Allowing Heavier Log Loads In Northern Wisconsin During Spring Thaw written by Samuel Owusu-Ababio and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014 with Pavements categories.
Wisconsin Highway Traffic Volume Data
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Author :
language : en
Publisher:
Release Date : 2002
Wisconsin Highway Traffic Volume Data written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2002 with Cities and towns categories.
Wisconsin Traffic Data Automatic Recorder Stations
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Author :
language : en
Publisher:
Release Date : 1982
Wisconsin Traffic Data Automatic Recorder Stations written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1982 with Traffic surveys categories.
Wisconsin Highway Traffic Volume
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Author :
language : en
Publisher:
Release Date : 1998
Wisconsin Highway Traffic Volume written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1998 with Traffic surveys categories.
Water Resources Data For Wisconsin
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Author : Geological Survey (U.S.). Water Resources Division
language : en
Publisher:
Release Date : 1980
Water Resources Data For Wisconsin written by Geological Survey (U.S.). Water Resources Division and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1980 with Stream measurements categories.
Statistical Methods For Overdispersed Count Data
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Author : Jean-Francois Dupuy
language : en
Publisher: Elsevier
Release Date : 2018-11-19
Statistical Methods For Overdispersed Count Data written by Jean-Francois Dupuy and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-11-19 with Medical categories.
Statistical Methods for Overdispersed Count Data provides a review of the most recent methods and models for such data, including a description of R functions and packages that allow their implementation. All methods are illustrated on datasets arising in the field of health economics. As several tools have been developed to tackle over-dispersed and zero-inflated data (such as adjustment methods and zero-inflated models), this book covers the topic in a comprehensive and interesting manner. Includes reading on several levels, including methodology and applications Presents the state-of-the-art on the most recent zero-inflated regression models Contains a single dataset that is used as a common thread for illustrating all methodologies Includes R code that allows the reader to apply methodologies
Statistical Analysis Of Panel Count Data
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Author : Jianguo Sun
language : en
Publisher: Springer Science & Business Media
Release Date : 2013-10-09
Statistical Analysis Of Panel Count Data written by Jianguo Sun and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-10-09 with Medical categories.
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.
Applied Categorical And Count Data Analysis
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Author : Wan Tang
language : en
Publisher: CRC Press
Release Date : 2023-04-06
Applied Categorical And Count Data Analysis written by Wan Tang and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-04-06 with Mathematics categories.
Developed from the authors’ graduate-level biostatistics course, Applied Categorical and Count Data Analysis, Second Edition explains how to perform the statistical analysis of discrete data, including categorical and count outcomes. The authors have been teaching categorical data analysis courses at the University of Rochester and Tulane University for more than a decade. This book embodies their decade-long experience and insight in teaching and applying statistical models for categorical and count data. The authors describe the basic ideas underlying each concept, model, and approach to give readers a good grasp of the fundamentals of the methodology without relying on rigorous mathematical arguments. The second edition covers classic concepts and popular topics, such as contingency tables, logistic regression models, and Poisson regression models, along with modern areas that include models for zero-modified count outcomes, parametric and semiparametric longitudinal data analysis, reliability analysis, and methods for dealing with missing values. As in the first edition, R, SAS, SPSS, and Stata programming codes are provided for all the examples, enabling readers to immediately experiment with the data in the examples and even adapt or extend the codes to fit data from their own studies. Designed for a one-semester course for graduate and senior undergraduate students in biostatistics, this self-contained text is also suitable as a self-learning guide for biomedical and psychosocial researchers. It will help readers analyze data with discrete variables in a wide range of biomedical and psychosocial research fields. Features: Describes the basic ideas underlying each concept and model Includes R, SAS, SPSS and Stata programming codes for all the examples Features significantly expanded Chapters 4, 5, and 8 (Chapters 4-6, and 9 in the second edition Expands discussion for subtle issues in longitudinal and clustered data analysis such as time varying covariates and comparison of generalized linear mixed-effect models with GEE