Categorical Data Analysis Categorical Data Analysis Second Edition
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Analysis of Dynamic Longitudinal Categorical Data in Incomplete Contingency Tables Using Capture-Recapture Sampling: A case Study of Semi-Concentrated Doctoral Exam
Abstract. In this paper, dynamic longitudinal categorical data and estimation of their parameters in incomplete contingency tables are evaluated. To apply the proposed method, a study has been conducted on the data of the semi-concentrated doctoral exam of the National Organization for Educational Testing (NOET). The results of studies such as the obtained confidence intervals and calculating t...
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Multidimensional datasets often include categorical information. When most dimensions have categorical information, clustering the dataset as a whole can reveal interesting patterns in the dataset. However, the categorical information is often more useful as a way to partition the dataset: gene expression data for healthy vs. diseased samples or stock performance for common, preferred, or conve...
متن کاملA Simple Yet Fast Clustering Approach for Categorical Data
Categorical data has always posed a challenge in data analysis through clustering. With the increasing awareness about Big data analysis, the need for better clustering methods for categorical data and mixed data has arisen. The prevailing clustering algorithms are not suitable for clustering categorical data majorly because the distance functions used for continuous data are not applicable for...
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Categorical outcome (or discrete outcome or qualitative response) regression models are models for a discrete dependent variable recording in which of two or more categories an outcome of interest lies. For binary data (two categories) probit and logit models or semiparametric methods are used. For multinomial data (more than two categories) that are unordered, common models are multinomial and...
متن کاملOutlines of Solutions to Selected Homework Problems
This handout contains solutions and hints to solutions for many of the STA 6505 homework exercises from Categorical Data Analysis, second edition, by Alan Agresti (John Wiley, & Sons, 2002). It should not be distributed elsewhere without permission of the author. Additional solutions for odd-numbered exercises are available at the website for the text, http://www.stat.ufl.edu/∼aa/cda/cda.html. ...
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تاریخ انتشار 2002