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Statistical Modelling in Higher Learning

presents you with a solid understanding on the predictors using classification tree mining and logistic regression analysis.Classification is the;

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Predictive Analytics

analytics and statistical learning This book covers a broad range of topics in parametric regression and classification including multiple;

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Statistical Regression and Classification

This text provides a modern introduction to regression and classification with an emphasis on big data and R. Each chapter is partitioned;

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Pattern Classification

PATTERN CLASSIFICATION a unified view of statistical and neural approaches The product of years of research and practical experience;

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Bayesian Methods for Nonlinear Classification and Regression

Classification and Regression is the first book to bring together, in a consistent statistical framework, the ideas of nonlinear modelling and Bayesian;

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Statistical Regression and Classification: From Linear Models to Machine Learning

This text provides a modern introduction to regression and classification with an emphasis on big data and R. Each chapter is partitioned;

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Classification and Regression Trees

have been developed in the authors' study of tree methods. Classification and Regression Trees reflects these two sides, covering the use;

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Classification and Regression Trees

have been developed in the authors' study of tree methods. Classification and Regression Trees reflects these two sides, covering the use;

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Statistical Models For Causal Analysis

This volume provides an overview of statistical models commonly used in the causal analyses of non-experimental data in the social and;

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Classification and Data Analysis

Section on Classification and Data Analysis of the Polish Statistical Association, SKAD 2019, held in Szczecin, Poland, on September 18-20, 2019;

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Multivariate Nonparametric Regression And Visualization

, Multivariate Nonparametric Regression and Visualization provides readers with the core statistical concepts to obtain complete and accurate predictions;

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Using Classification and Regression Trees

Classification and regression trees (CART) is one of the several contemporary statistical techniques with good promise for research in many;

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Confidence Intervals in Generalized Regression Models

generalized regression model (GRM)-of various types of regression models. It also uses a likelihood-based approach for performing statistical;

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Confidence Intervals in Generalized Regression Models

generalized regression model (GRM)-of various types of regression models. It also uses a likelihood-based approach for performing statistical;

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Dynamics of Statistical Experiments

dynamics of statistical experiments are given by difference stochastic equations with a speci?ed regression function of increments A linear or;

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Support Vector Machines

of support vector machines (SVMs)-classification problems and regression problems. The book emphasizes the close connection between optimization;

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High-dimensional Data Analysis

of feature selection, covariance estimation, classification and regression. This book intends to examine important issues arising from high;

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Algorithms for Regression and Classification

The focus of this dissertation is on robust regression and classification in genetic association studies. In the context of robust;

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Biostatistics with R

classification and regression trees. Chapters usually start with several useful case examples, describing the structure of typical datasets and proposing;

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Biostatistics with R

classification and regression trees. Chapters usually start with several useful case examples, describing the structure of typical datasets and proposing;

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Statistical Data Mining Using SAS Applications

programming, this resource supplies instructions and tools for quickly performing exploratory statistical methods, regression analysis, logistic;

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Statistical Regression Modeling with R

of statistics and data science. With data and computing programs available to facilitate readers' learning experience, Statistical Regression Modeling;

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Statistical Regression Modeling with R

of statistics and data science. With data and computing programs available to facilitate readers' learning experience, Statistical Regression Modeling;

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Statistical Methods for Geographers

in research design, hypothesis testing, and analyzing spatial and functional relationships. Introduces basic statistical terms and techniques for;

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An Introduction to Statistical Learning

cutting-edge statistical learning techniques to analyze their data. The text assumes only a previous course in linear regression and no knowledge;

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An Introduction to Statistical Learning

cutting-edge statistical learning techniques to analyze their data. The text assumes only a previous course in linear regression and no knowledge;

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Regression Methods for Medical Research

the application of statistical models to a wide variety of practical medical investigative studies and clinical trials. Regression methods are;

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