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Nonlinear Regression with R

- Coherent and unified treatment of nonlinear regression with R. - Example-based approach. - Wide area of application.;

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R In Finance And Economics

This book provides an introduction to the statistical software R and its application with an empirical approach in finance and economics;

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Advanced Regression Models with SAS and R

Advanced Regression Models with SAS and R exposes the reader to the modern world of regression analysis. The material covered by this book;

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Advanced Regression Models with SAS and R

Advanced Regression Models with SAS and R exposes the reader to the modern world of regression analysis. The material covered by this book;

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A Modern Approach to Regression with R

building regression models and assessing their validity. We shall see that deciding what to plot and how each plot should be interpreted will be a;

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Basic Data Analysis for Time Series with R

of serial correlation, the book presents a coherent and systematic regression-based approach to model selection. The book illustrates these;

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Quantile Regression for Cross-Sectional and Time Series Data: Applications in Energy Markets Using R

conditional distribution of a given variable. The book pursues a practical approach with reference to energy markets, helping readers learn the main;

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Robust Nonlinear Regression

The first book to discuss robust aspects of nonlinear regression-with applications using R software Robust Nonlinear Regression: with;

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Regression and ANOVA: An Integrated Approach Using SAS Software + Applied Statistics: Analysis of Variance and Regression, Third Edition Set

This set contains: 9780471469438 Regression and ANOVA: An Integrated Approach Using SAS(R) Software by Keith E. Muller, Bethel A. Fetterman;

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Statistical Regression Modeling with R

This book provides a concise point of reference for the most commonly used regression methods. It begins with linear and nonlinear;

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Statistical Regression Modeling with R

This book provides a concise point of reference for the most commonly used regression methods. It begins with linear and nonlinear;

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Statistical Application Development with R and Python -

preliminary concepts right away using R and Python. * Understand data modeling and visualization to perform efficient statistical analysis with this;

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An R Companion to Applied Regression

An R Companion to Applied Regression is a broad introduction to the R statistical computing environment in the context of applied;

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Regression Analysis and Its Application: A Data-Oriented Approach

Regression Analysis and Its Application: A Data-Oriented Approach answers the need for researchers and students who would like a better;

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Multivariate Nonparametric Regression And Visualization

A modern approach to statistical learning and its applications through visualization methods With a unique and innovative presentation;

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Regression Analysis with R

Regression - this book covers all regression techniques and their implementation in R A complete guide to building effective regression models in R;

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Extending the Linear Model with R

. Faraway's critically acclaimed Linear Models with R examined regression and analysis of variance, demonstrated the different methods;

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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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Predictive Analytics

regression for survival data. The book also gives brief introductions to some modern computer-intensive methods such as classification and regression;

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Ordered Regression Models

models, and the Bayesian approach to ordered regression models. Some chapters include brief examples using Stata and R. This book offers a;

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Ordered Regression Models

ordered models, and the Bayesian approach to ordered regression models. Some chapters include brief examples using Stata and R. This book;

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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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Using R for Introductory Econometrics

modern resource. I know I'm going to be using it with my students, and I recommend it to anyone who wants to learn about econometrics and R at;

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Handbook of Regression Analysis With Applications in R

Analysis with Applications in R, Second Edition is a comprehensive and up-to-date guide to conducting complex regressions in the R statistical;

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Regression Analysis and its Application

Regression Analysis and Its Application: A Data-Oriented Approach answers the need for researchers and students who would like a better;

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Introduction To Nonparametric Regression

. A separate appendix is devoted to the conversion of S-Plus objects to R objects.In addition, each chapter ends with a set of problems that;

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Applied Regression Analysis

mathematics to get a firm grip on regression and perform it to perfection. This non-technical point of departure is complemented by practical examples;

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