An evaluation of two time series techniques: Brown's exponential smoothing and Box Jenkins methodology

The problem discussed in this thesis is how to obtain an accurate forecast for a particular time series data. In particular, forecasting performances of the Box-Jenkins method and Brown's Exponential Smoothing Method are compared over three sets of data.

Saved in:

Bibliographic Details
Main Authors:	Samonte, Donna Fay B., Tiu, Geraldine Ang
Format:	text
Language:	English
Published:	Animo Repository 1991
Subjects:	Time-series analysis Functions, Exponential Geometrical models Exponential functions
Online Access:	https://animorepository.dlsu.edu.ph/etd_bachelors/15960
Tags:	Add Tag No Tags, Be the first to tag this record!
Institution:	De La Salle University
Language:	English

id	oai:animorepository.dlsu.edu.ph:etd_bachelors-16473
record_format	eprints
spelling	oai:animorepository.dlsu.edu.ph:etd_bachelors-164732022-01-24T03:23:53Z An evaluation of two time series techniques: Brown's exponential smoothing and Box Jenkins methodology Samonte, Donna Fay B. Tiu, Geraldine Ang The problem discussed in this thesis is how to obtain an accurate forecast for a particular time series data. In particular, forecasting performances of the Box-Jenkins method and Brown's Exponential Smoothing Method are compared over three sets of data. 1991-01-01T08:00:00Z text https://animorepository.dlsu.edu.ph/etd_bachelors/15960 Bachelor's Theses English Animo Repository Time-series analysis Functions, Exponential Geometrical models Exponential functions
institution	De La Salle University
building	De La Salle University Library
continent	Asia
country	Philippines Philippines
content_provider	De La Salle University Library
collection	DLSU Institutional Repository
language	English
topic	Time-series analysis Functions, Exponential Geometrical models Exponential functions
spellingShingle	Time-series analysis Functions, Exponential Geometrical models Exponential functions Samonte, Donna Fay B. Tiu, Geraldine Ang An evaluation of two time series techniques: Brown's exponential smoothing and Box Jenkins methodology
description	The problem discussed in this thesis is how to obtain an accurate forecast for a particular time series data. In particular, forecasting performances of the Box-Jenkins method and Brown's Exponential Smoothing Method are compared over three sets of data.
format	text
author	Samonte, Donna Fay B. Tiu, Geraldine Ang
author_facet	Samonte, Donna Fay B. Tiu, Geraldine Ang
author_sort	Samonte, Donna Fay B.
title	An evaluation of two time series techniques: Brown's exponential smoothing and Box Jenkins methodology
title_short	An evaluation of two time series techniques: Brown's exponential smoothing and Box Jenkins methodology
title_full	An evaluation of two time series techniques: Brown's exponential smoothing and Box Jenkins methodology
title_fullStr	An evaluation of two time series techniques: Brown's exponential smoothing and Box Jenkins methodology
title_full_unstemmed	An evaluation of two time series techniques: Brown's exponential smoothing and Box Jenkins methodology
title_sort	evaluation of two time series techniques: brown's exponential smoothing and box jenkins methodology
publisher	Animo Repository
publishDate	1991
url	https://animorepository.dlsu.edu.ph/etd_bachelors/15960
_version_	1772834998010773504

An evaluation of two time series techniques: Brown's exponential smoothing and Box Jenkins methodology

Similar Items