Forecasting Method Selection Using ANOVA and Duncan Multiple Range Tests on Time Series Dataset
Selection of a suitable forecasting technique is of prime importance in order to obtain a better prediction result. This paper demonstrated the use of two statistical approaches namely, Analysis of Variance (ANOVA) and Duncan multiple range tests for determining the performance of different forecas...
Saved in:
Main Authors: | Permanasari , Adhistya Erna, Awang Rambli, Dayang Rohaya, Dominic P, Dhanapal Durai |
---|---|
Format: | Conference or Workshop Item |
Published: |
2010
|
Subjects: | |
Online Access: | http://eprints.utp.edu.my/3642/1/ITSim2010-Adhistya.pdf http://eprints.utp.edu.my/3642/ |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Forecasting Method Selection Using ANOVA
and Duncan Multiple Range Tests on Time
Series Dataset
by: Adhistya, Erna, et al.
Published: (2010) -
Decision Support Conceptual Framework for Zoonosis Emerging System
by: Permanasari, Adhistya Erna, et al.
Published: (2010) -
A comparative study of univariate forecasting methods for predicting tuberculosis incidence on human
by: Permanasari, Adhistya Erna, et al.
Published: (2009) -
Forecasting of Salmonellosis Incidence in Human using Artificial Neural Network
(ANN)
by: Permanasari, Adhistya Erna, et al.
Published: (2010) -
Forecasting of Salmonellosis Incidence in Human using Artificial Neural Network
by: Adhistya Erna, Permanasari, et al.
Published: (2010)