Browsing Department of Interdisciplinary Studies by Subject "Time series forecasting"

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Taylor series approximation and unbiased GM(1,1) based hybrid statistical approach for forecasting daily gold price demands

Rathnayaka, R.M. Kapila Tharanga; Seneviratna, D. M. K. N. (2018)

Purpose – The time series analysis is an essential methodology which comprises the tools for analyzing the time series data to identify the meaningful characteristics for making future ad-judgments. The purpose of this ...
An unbiased GM(1,1)-based new hybrid approach for time series forecasting

Rathnayaka, R.M. Kapila Tharanga; Seneviratna, D. M. K. N.; Jianguo, Wei; Arumawadu, Hasitha Indika (Emerald, 2016)

Purpose – The time series forecasting is an essential methodology which can be used for analysing time series data in order to extract meaningful statistics based on the information obtained from past and present. These ...

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