Methods for Time Series Forecasting: with Applications in R

Tu?rul Sönmez, Özge

ISBN 10: 3330031786 / ISBN 13: 9783330031784

Editore: LAP LAMBERT Academic Publishing, 2017

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264 pages. 8.66x5.91x0.60 inches. In Stock.

Codice articolo 3330031786

Dati bibliografici

• Titolo: Methods for Time Series Forecasting: with Applications in R
• Editore: LAP LAMBERT Academic Publishing
• Data di pubblicazione: 2017
• Lingua: Inglese
• ISBN 10: 3330031786
• ISBN 13: 9783330031784
• Rilegatura: Paperback
• Condizione: Brand New

Descrizione articolo

Riassunto

This book provides a comparison of different forecasting methods with special implementations for different time series data and evaluates the results of forecasting experiments. It is important for the selected forecasting method to give more accurate results and smaller forecast errors. Also, the coding and the implementation processes have an effect in choosing a forecasting method. The first chapter explains forecasting, the second chapter gives information about the forecasting process, the third chapter gives examples of the forecasting methods used in the literature. The explanation of forecasting methods begins with the fourth chapter with the explanation of the so called “naive method”. The fifth chapter explains time series regression methods, the sixth chapter presents exponential smoothing methods, the seventh chapter gives information about the (S)ARIMA method. The eight chapter explains the implementation of these forecasting methods written on R program.The experiments evaluating these forecasting methods are introduced and explained in the ninth chapter. Finally, a general overview and comparison of the methods is presented.