Home > Research > Publications & Outputs > Free Open-Source Forecasting Using R
View graph of relations

Free Open-Source Forecasting Using R

Research output: Contribution to Journal/MagazineJournal articlepeer-review

Published

Standard

Free Open-Source Forecasting Using R. / Kolassa, Stephan; Hyndman, Rob J.
In: Foresight: The International Journal of Applied Forecasting, No. 17, 2010, p. 19-23.

Research output: Contribution to Journal/MagazineJournal articlepeer-review

Harvard

Kolassa, S & Hyndman, RJ 2010, 'Free Open-Source Forecasting Using R', Foresight: The International Journal of Applied Forecasting, no. 17, pp. 19-23.

APA

Kolassa, S., & Hyndman, R. J. (2010). Free Open-Source Forecasting Using R. Foresight: The International Journal of Applied Forecasting, (17), 19-23.

Vancouver

Kolassa S, Hyndman RJ. Free Open-Source Forecasting Using R. Foresight: The International Journal of Applied Forecasting. 2010;(17):19-23.

Author

Kolassa, Stephan ; Hyndman, Rob J. / Free Open-Source Forecasting Using R. In: Foresight: The International Journal of Applied Forecasting. 2010 ; No. 17. pp. 19-23.

Bibtex

@article{4480c599cca94e4c8dde6f9f53ec01b4,
title = "Free Open-Source Forecasting Using R",
abstract = "Neelie Kroes, while antitrust commissioner for the EU, said, “In the current economic context, all companies are looking for cost-effective IT solutions. Systems based on open-source software are increasingly emerging as viable alternatives to proprietary solutions.” Stephan Kolassa and Rob Hyndman provide their evaluation of whether R, an open-source statistical computing environment, can be used for forecasting. They compare it favorably to professionally produced and quality-controlled commercial software. Copyright International Institute of Forecasters, 2010",
author = "Stephan Kolassa and Hyndman, {Rob J.}",
year = "2010",
language = "English",
pages = "19--23",
journal = "Foresight: The International Journal of Applied Forecasting",
issn = "1555-9068",
publisher = "International Institute of Forecasters",
number = "17",

}

RIS

TY - JOUR

T1 - Free Open-Source Forecasting Using R

AU - Kolassa, Stephan

AU - Hyndman, Rob J.

PY - 2010

Y1 - 2010

N2 - Neelie Kroes, while antitrust commissioner for the EU, said, “In the current economic context, all companies are looking for cost-effective IT solutions. Systems based on open-source software are increasingly emerging as viable alternatives to proprietary solutions.” Stephan Kolassa and Rob Hyndman provide their evaluation of whether R, an open-source statistical computing environment, can be used for forecasting. They compare it favorably to professionally produced and quality-controlled commercial software. Copyright International Institute of Forecasters, 2010

AB - Neelie Kroes, while antitrust commissioner for the EU, said, “In the current economic context, all companies are looking for cost-effective IT solutions. Systems based on open-source software are increasingly emerging as viable alternatives to proprietary solutions.” Stephan Kolassa and Rob Hyndman provide their evaluation of whether R, an open-source statistical computing environment, can be used for forecasting. They compare it favorably to professionally produced and quality-controlled commercial software. Copyright International Institute of Forecasters, 2010

M3 - Journal article

SP - 19

EP - 23

JO - Foresight: The International Journal of Applied Forecasting

JF - Foresight: The International Journal of Applied Forecasting

SN - 1555-9068

IS - 17

ER -