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Forecasting, Time Series, and Regression (with CD-ROM)

Awarded Outstanding Academic Book by CHOICE magazine in its first edition, FORECASTING, TIME SERIES, AND REGRESSION: AN APPLIED APPROACH;

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Forecasting with Dynamic Regression Models

of the output series to the input series, and the auto- correlation patterns of the regression disturbance.;

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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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Introduction To Time Series Analysis And Forecasting

forecasting topics, including: Regression-based methods, heuristic smoothing methods, and general time series models Basic statistical tools used;

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Practical Time Series Forecasting with R

Practical Time Series Forecasting with R: A Hands-On Guide, Second Edition provides an applied approach to time-series;

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Hands-On Time Series Analysis with R

series analysis with R and lays the foundations you need to build forecasting models. You will learn how to preprocess raw time series data and;

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Time Series Algorithms Recipes

This book teaches the practical implementation of various concepts for time series analysis and modeling with Python through problem;

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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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An Introduction to Time Series Analysis and Forecasting

Providing a clear explanation of the fundamental theory of time series analysis and forecasting, this book couples theory with applications;

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Machine Learning for Time Series Forecasting with Python

Time Series Forecasting with Python is an incisive and straightforward examination of one of the most crucial elements of decision-making;

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Time Series Analysis and Forecasting by Example

An intuition-based approach enables you to master time series analysis with ease Time Series Analysis and Forecasting by Example provides;

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Statistics

, skewness and kurtosis, curve fitting, correlation and regression analysis, theory of probability, probability distributions, sampling theory;

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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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Statistical Learning for Big Dependent Data

usefulness of lasso with time series and an evaluation of several machine learning procedure for forecasting large sets of time series Forecasting;

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Modeling Risk

simulation, forecasting, time-series and regression analysis, optimization, real options, and more. * Includes new examples, questions, and exercises;

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Practical Time Series Forecasting with R

Practical Time Series Forecasting with R is een boek van Galit Shmueli;

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Theory and Applications of Time Series Analysis

; time series analysis with computational intelligence; and time series analysis and prediction for other real-world problems. Given this mix;

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Supervised Machine Learning in Wind Forecasting and Ramp Event Prediction

generation and forecasting, with a focus on the role and need of Machine Learning in this emerging field of knowledge. Various regression models and;

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Recursive Streamflow Forecasting

management, it includes exercises and a CD-ROM with MATLAB codes for the simulation of streamflows and the creation of real-time hydrological;

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Recursive Streamflow Forecasting

management, it includes exercises and a CD-ROM with MATLAB (R) codes for the simulation of streamflows and the creation of real-time hydrological;

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Demographic Forecasting

explanatory variables in a time-series regression for each cross section while still borrowing strength from one regression to improve the estimation;

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Theory and Applications of Time Series Analysis

This book presents selected peer-reviewed contributions from the International Conference on Time Series and Forecasting, ITISE 2018, held;

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Time Series Models for Business and Economic Forecasting

analysis. The early parts of the book focus on the typical features of time series data in business and economics. Part III is concerned with the;

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Time Series Models for Business and Economic Forecasting

With a new author team contributing decades of practical experience, this fully updated and thoroughly classroom-tested second edition;

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Time Series Models for Business and Economic Forecasting

With a new author team contributing decades of practical experience, this fully updated and thoroughly classroom-tested second edition;

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Time Series Modelling with Unobserved Components

, exponential smoothing, and ARIMA, the UCM is not well known among practitioners outside the academic community. Time Series Modelling with Unobserved;

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Time Series Modelling with Unobserved Components

, exponential smoothing, and ARIMA, the UCM is not well known among practitioners outside the academic community. Time Series Modelling with Unobserved;

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