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Predictions in Time Series Using Regression Models

This book will interest and assist people who are dealing with the problems of predictions of time series in higher education and research;

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Forecasting with Dynamic Regression Models

This volume presents the basic concepts and practice of building, using and interpreting single equation dynamic regression models (also;

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Regression Models For Time Series Analysis

A thorough review of the most current regression methods in time series analysis Regression methods have been an integral part of time;

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Hands-On Time Series Analysis with R

Build efficient forecasting models using traditional time series models and machine learning algorithms. Key Features Perform time series;

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Regression Models for Categorical Dependent Variables Using Stata, Third Edition

Regression Models for Categorical Dependent Variables Using Stata, Third Edition shows how to use Stata to fit and interpret regression;

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Time Series Data Analysis Using EViews

develop acceptable statistical models, Time Series Data Analysis Using EViews is a perfect complement to theoretical books presenting statistical;

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Data Analysis Using Regression & Multi

Data Analysis Using Regression and Multilevel/Hierarchical Models, first published in 2007, is a comprehensive manual for the applied;

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Data Analysis Using Regression and Multilevel/Hierarchical Models

"Data Analysis Using Regression and Multilevel/Hierarchical Models is a comprehensive manual for the applied researcher who wants to;

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Time Series Analysis

With a focus on analyzing and modeling linear dynamic systems using statistical methods, Time Series Analysis formulates various linear;

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Applied Economic Forecasting using Time Series Methods

forecasting problems. Applied Economic Forecasting using Time Series Methods starts with a brief review of basic regression analysis with a focus on;

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Interpreting and Visualizing Regression Models Using Stata

Interpreting and Visualizing Regression Models Using Stata, Second Edition provides clear and simple examples illustrating how to interpret;

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Time Series Analysis for the Social Sciences

-Steffensmeier, John R. Freeman, Jon C. Pevehouse and Matthew P. Hitt cover a wide range of topics including ARIMA models, time series regression, unit;

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Time Series Analysis and Forecasting by Example

the fundamental techniques in time series analysis using various examples. By introducing necessary theory through examples that showcase the;

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An Introduction to Survival Analysis Using Stata, Revised Third Edition

demonstrates how to obtain and visualize marginal predictions and marginal effects using the margins and marginsplot commands after survival regression;

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Regression And Time Series Model Selection

selection techniques for univariate and multivariate regression models, univariate and multivariate autoregressive models, nonparametric (including;

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SAP Predictive Analytics The Comprehensive Guide Rheinwerk Publishing

Leave your crystal ball behind and peer into the future with SAPPredictive Analytics. Master predictive models-regression, time series;

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

use conditional quantile regression to measure economic relationships among a set of variables. It will also benefit students using the;

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Regression Models for Categorical Dependent Variables Using Stata

Models for Categorical Dependent Variables Using Stata, Second Edition , fills this void, showing how to fit and interpret regression models for;

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Partially Linear Models

In the last ten years, there has been increasing interest and activity in the general area of partially linear regression smoothing;

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Time Series Algorithms Recipes

-solution-style recipes, starting with data reading and preprocessing. It begins with the fundamentals of time series forecasting using statistical;

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A Course on Statistics for Finance

author introduces regression analysis, time series analysis, and multivariate analysis step by step using models and methods from finance. The;

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A Course on Statistics for Finance

author introduces regression analysis, time series analysis, and multivariate analysis step by step using models and methods from finance;

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Linear Models and TimeSeries Analysis

A comprehensive and timely edition on an emerging new trend in time series Linear Models and Time-Series Analysis: Regression, ANOVA;

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Regression Analysis with R

Simple linear regression Deal with interaction, collinearity and other problems using multiple linear regression Understand diagnostics and what;

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An Introduction to State Space Time Series Analysis

time series models, this book introduces time series analysis using state space methodology to readers who are neither familiar with time;

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Spatial Regression Analysis Using Eigenvector Spatial Filtering

Spatial Regression Analysis Using Eigenvector Spatial Filtering provides theoretical foundations and guides practical implementation;

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Copula Based Markov Models for Time Series

insights into the statistical analysis of time series data using copulas, the book also features stand-alone chapters to appeal to researchers;

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