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Categorical Data Analysis for Geographers and Environmental Scientists, originally published in 1985, provided the first account of the new;
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modeling and logistic regression analysis. * Provides techniques for analyzing categorical data from a communication studies perspective * Provides;
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A comprehensive resource for analyzing a variety of categorical data, this book emphasizes the application of many recent advances;
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A comprehensive resource for analyzing a variety of categorical data, this book emphasizes the application of many recent advances;
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Since its launch in 1987 the Environmental Data Report has become the authoritative data source and reference tool for all ecologists;
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Statistics for Environmental Biology and Toxicology presents and illustrates statistical methods appropriate for the analysis;
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preliminary research questions to ensure that the correct data is collected for the chosen statistical analysis method. The book offers a practical;
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preliminary research questions to ensure that the correct data is collected for the chosen statistical analysis method. The book offers a practical;
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commentary about social and environmental issues, and to make the case for change. Knowledge of statistics is therefore a necessary skill for any;
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commentary about social and environmental issues, and to make the case for change. Knowledge of statistics is therefore a necessary skill for any;
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of punishment for committing burglary. This new book is a collection of up-to-date studies on modern categorical data analysis methods, emphasizing;
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Spatial Data Analysis: Theory and Practice, first published in 2003, provides a broad ranging treatment of the field of spatial data;
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for analyzing categorical data that are not necessarily sampled randomly from a normal population and often involve nonlinear relations;
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, particularly for applications in the biomedical and social sciences. An Introduction to Categorical Data Analysis, Third Edition summarizes these;
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Praise for the Second Edition A must-have book for anyone expecting to do research and/or applications in categorical data analysis;
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Statistical science s first coordinated manual of methods for analyzing ordered categorical data, now fully revised and updated, continues;
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, valid methods for analysis of measurement data, categorical data requires a different methodology and techniques typically not encountered;
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, valid methods for analysis of measurement data, categorical data requires a different methodology and techniques typically not encountered;
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, economics and medical science. Bayesian Methods for Categorical Data sets out to demystify modern Bayesian methods, making them accessible to;
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Intended for graduate students, this textbook introduces methods and models for the analysis of categorical data and their applications;
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graduate data analysis courses in environmental sciences and engineering. It is also a useful reference on modern digital data analysis for the;
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graduate data analysis courses in environmental sciences and engineering. It is also a useful reference on modern digital data analysis for the;
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to a statistician wanting to analyze and report on categorical data, Statistical Analysis of Categorical Data is an excellent resource for;
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, and students. It also describes topics and techniques such as environmental monitoring, impact assessment, censored data, Monte Carlo risk;
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Most environmental data involve a large degree of complexity and uncertainty. Environmental Data Analysis is created to provide modern;
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researchThoroughly updated with the latest advances in the field, Applied Categorical Data Analysis and Translational Research, Second Edition maintains the;
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Categorical Data Analysis and Multilevel Modeling Using R provides a practical guide to regression techniques for analyzing binary, ordinal;
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