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Exact Statistical Inference for Categorical Data

Exact Statistical Inference for Categorical Data discusses the way asymptotic approaches have been often used in practice to make;

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From Finite Sample To Asymptotic Methods In Statistics

Exact statistical inference may be employed in diverse fields of science and technology. As problems become more complex and sample sizes;

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Constrained Statistical Inference

means* Tests in general parametric models* Likelihood and alternatives* Analysis of categorical data* Inference on monotone density function;

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Statistical Analysis of Categorical Data

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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Handbk Statistical Analyses Using R 3rd

Like the best-selling first two editions, A Handbook of Statistical Analyses using R, Third Edition provides an up-to-date guide to data;

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A Handbook of Statistical Analyses using R, Third Edition

Like the best-selling first two editions, A Handbook of Statistical Analyses using R, Third Edition provides an up-to-date guide to data;

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Exact Statistical Methods for Data Analysis

and generalized confidence intervals and to show how these concepts may be used to make exact statistical inferences in a variety of practical;

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Modelling Binary Data

developments have emerged, accompanied by the steady growth of statistical computing. Mixed models for binary data analysis and procedures that lead to;

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Modelling Binary Data

developments have emerged, accompanied by the steady growth of statistical computing. Mixed models for binary data analysis and procedures that lead to;

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Statistical Analysis of Longitudinal Categorical Data in the Social and Behavioral Sciences

A comprehensive resource for analyzing a variety of categorical data, this book emphasizes the application of many recent advances;

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Statistical Analysis of Longitudinal Categorical Data in the Social and Behavioral Sciences

A comprehensive resource for analyzing a variety of categorical data, this book emphasizes the application of many recent advances;

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Aspects of Statistical Inference

Relevant, concrete, and thorough--the essential data-based text on statistical inference The ability to formulate abstract concepts and;

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Inferential Models

developed approach to inference: the inferential model (IM) framework. This logical framework for exact probabilistic inference does not require the;

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Inferential Models

approach to inference: the inferential model (IM) framework. This logical framework for exact probabilistic inference does not require the user to;

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Maximum Likelihood for Social Science

develops simulation-based tools for model evaluation and selection alongside statistical inference. The book covers standard models for categorical;

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Maximum Likelihood for Social Science

develops simulation-based tools for model evaluation and selection alongside statistical inference. The book covers standard models for categorical;

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Analysis Of Ordinal Categorical Data

Statistical science s first coordinated manual of methods for analyzing ordered categorical data, now fully revised and updated, continues;

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Categorical Statistics for Communication Research

Categorical Statistics for CommunicationResearch presents scholars with a discipline-specific guide to categorical data analysis. The text;

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Statistical Inference for Engineers and Data Scientists

in engineering and data science, ideal for graduate students taking courses on statistical inference and detection and estimation, and an invaluable;

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Exact Analysis of Discrete Data

discrete or categorical in nature. While there is no dearth of books on the analysis and interpretation of such data, these generally focus on;

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Regression Models for Categorical and Count Data

regression analysis on categorical and count data. The author covers both the theory and application of statistical models, with the help;

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Optimal Statistical Inference in Financial Engineering

Until now, few systematic studies of optimal statistical inference for stochastic processes had existed in the financial engineering;

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Statistical Methods for Categorical Data Analysis

Intended for graduate students, this textbook introduces methods and models for the analysis of categorical data and their applications;

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Statistical Inference via Data Science: A ModernDive into R and the Tidyverse

Statistical Inference via Data Science: A ModernDive into R and the Tidyverse provides a pathway for learning about statistical inference;

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Statistical Inference via Data Science: A ModernDive into R and the Tidyverse

Statistical Inference via Data Science: A ModernDive into R and the Tidyverse provides a pathway for learning about statistical inference;

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Analysis of Incomplete Multivariate Data

The last two decades have seen enormous developments in statistical methods for incomplete data. The EM algorithm and its extensions;

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Analysis of Incomplete Multivariate Data

The last two decades have seen enormous developments in statistical methods for incomplete data. The EM algorithm and its extensions;

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