Categorical Data Analysis by Alan Agresti
Summarizing a variety of methods for analyzing categorical data, the aim of this volume is to help readers perform analyses using statistical computer packages such as SAS, SPSS, BMDP and GLIM. It contains more than 400 problems and 40 examples of analyses of real data sets.-
Introductory Statistics for Business and Economics
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Applied Longitudinal Analysis
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Biostatistics
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Sample Size Determination and Power
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Statistical Methods for Survival Data Analysis
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Applied Econometric Times Series
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Bayesian Analysis for the Social Sciences
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An Elementary Introduction to Statistical Learning Theory
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The Statistical Analysis of Failure Time Data
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Regression Models for Time Series Analysis
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Loss Models
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Statistical Rules of Thumb
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Bayesian Theory
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Graphical Models in Applied Multivariate Statistics
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Introduction to Linear Regression Analysis
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Aspects of Multivariate Statistical Theory
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Fundamentals of Queueing Theory
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Statistics of Extremes
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Structural Equations with Latent Variables
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Nonparametric Statistical Methods
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Applied Linear Regression
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Models for Investors in Real World Markets
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Regression Analysis by Example
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Directional Statistics
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Statistical Intervals
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An Introduction to Probability Theory and Its Applications, Volume 2
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System Reliability Theory
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An Introduction to Categorical Data Analysis
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Markov Decision Processes
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Applied Logistic Regression
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Theoretical Foundations of Functional Data Analysis, with an Introduction to Linear Operators
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Probability and Measure
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| ISBN 13 | |
| ISBN 10 | |
| Title | Categorical Data Analysis |
| Author | Alan Agresti |
| Series | |
| Condition | Unavailable |
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| Year published | |
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| Cover note | Book picture is for illustrative purposes only, actual binding, cover or edition may vary. |
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Statistical Methods for the Social Sciences
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Statistical Methods for the Social Sciences, Global Edition
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Statistics: The Art and Science of Learning from Data, Global Edition
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Statistical Methods for the Social Sciences: Pearson New International Edition
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Introduction to Categorical Data Analysis
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Foundations of Bayesian Statistics for Data Scientists
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Analysis of Ordinal Categorical Data
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Strength in Numbers: The Rising of Academic Statistics Departments in the U. S.
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Studyguide for Statistics
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Instructor's Edition for Statistics
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Statistics Plus New Mylab Statistics with Pearson Etext -- Access Card Package
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The Art and Science of Learning from Data
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Statistics The Art and Science of Learning from Data - Custom Edition for Miami University
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Foundations of Linear and Generalized Linear Models
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Statistics
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Student's Solutions Manual for Statistics
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Foundations of Statistics for Data Scientists
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