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Economic Applications of Quantile Regression

Quantile regression has emerged as an essential statistical tool of contemporary empirical economics and biostatistics. Complementing;

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Economic Applications of Quantile Regression

Quantile regression has emerged as an essential statistical tool of contemporary empirical economics and biostatistics. Complementing;

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R In Finance And Economics

reproducible research examples. It will enable students to use R for data cleaning, data visualization and quantitative model building using;

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Meta-Regression Analysis in Economics and Business

state of the art for existing practitioners. Meta-regression analysis addresses the rising Tower of Babel that current economics and business;

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Meta-Regression Analysis in Economics and Business

state of the art for existing practitioners. Meta-regression analysis addresses the rising Tower of Babel that current economics and business;

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Regression Analysis

The technique of regression analysis is used so often in business and economics today that an understanding of its use is necessary for;

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Flexible Bayesian Regression Modelling

Flexible Bayesian Regression Modeling is a step-by-step guide to the Bayesian revolution in regression modeling, for use in advanced;

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Predictive Analytics

Provides a foundation in classical parametric methods of regression and classification essential for pursuing advanced topics in predictive;

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Introductory Statistics for Business and Economics

the use of computers. The regression model is well covered, including both nonlinear and multiple regression. The chapters contain many real;

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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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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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Unit Root, Cointegration, Granger-Causality, Threshold Regression and Other Econometric Modeling with Economics and Financial Data

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Economic Statistics and Econometrics

topics that constitute a foundation for basic econometrics, and treats regression models in detail.;

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Applied Linear Regression 4th Ed

methods Applied Linear Regression, Fourth Edition is an excellent textbook for upper-undergraduate and graduate-level students, as well as an;

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Student Workbook to accompany Introductory Statistics for Business and Economics 4e and Introductory Statistics 5e

the use of computers. The regression model is well covered, including both nonlinear and multiple regression. The chapters contain many real;

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Quantile Regression

Quantile regression is gradually emerging as a unified statistical methodology for estimating models of conditional quantile functions. By;

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Quantile Regression

Quantile regression is gradually emerging as a unified statistical methodology for estimating models of conditional quantile functions. By;

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Handbook of Quantile Regression

, ecology, economics, finance, genomics, medicine, and meteorology. Software for quantile regression is now widely available in all the major;

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Applied Multiple Regression/Correlation Analysis For The Beh

This classic text on multiple regression is noted for its nonmathematical, applied, and data-analytic approach. Readers profit from its;

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Correlation And Regression Analysis

It is no exaggeration to say that virtually all quantitative research in the social sciences is done with correlation and regression;

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Introduction To Nonparametric Regression

an excellent introduction to the field for novices of nonparametric regression. Introduction to Nonparametric Regression clearly explains;

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Quantile Regression

Offers a general introduction to linear programming focusing on the simplex method as solving method for the quantile regression problem;

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Semiparametic Regression for the Applied Econometrician

This book provides an accessible collection of techniques for analyzing nonparametric and semiparametric regression models. Worked examples;

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Progress through Regression

The Cobb-Douglas regression, a statistical technique developed to estimate what economists called a 'production function', was introduced;

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Regression Modeling: Methods, Theory, and Computation with SAS

, nonlinear least squares, and time-series regression issues. For most of the regression methods, the author includes SAS procedure code, enabling;

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Regression Modeling: Methods, Theory, and Computation with SAS

, nonlinear least squares, and time-series regression issues. For most of the regression methods, the author includes SAS procedure code, enabling;

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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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