Wisconsin Highway Traffic Volume Data PDF Download
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Author:
Publisher:
ISBN:
Category : Cities and towns
Languages : en
Pages : 528
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Author:
Publisher:
ISBN:
Category : Cities and towns
Languages : en
Pages : 528
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Author:
Publisher:
ISBN:
Category : Traffic surveys
Languages : en
Pages : 510
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Author:
Publisher:
ISBN:
Category : Traffic surveys
Languages : en
Pages : 504
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Author:
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ISBN:
Category :
Languages : en
Pages : 358
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Author: Geological Survey (U.S.). Water Resources Division
Publisher:
ISBN:
Category : Stream measurements
Languages : en
Pages : 636
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Author: Wan Tang
Publisher: CRC Press
ISBN: 1000863972
Category : Mathematics
Languages : en
Pages : 395
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Book Description
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
Author:
Publisher:
ISBN:
Category : Stream measurements
Languages : en
Pages : 820
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Author:
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ISBN:
Category : Children
Languages : en
Pages : 56
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Author:
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ISBN:
Category : Cities and towns
Languages : en
Pages : 206
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Author: Samuel Owusu-Ababio
Publisher:
ISBN:
Category : Pavements
Languages : en
Pages : 176
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