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Use of unobserved components model for forecasting non-stationary time series: a case of annual national coconut production in Sri Lanka Cover

Use of unobserved components model for forecasting non-stationary time series: a case of annual national coconut production in Sri Lanka

Tropical Agricultural Research
Volume 25 (2014): Issue 4
By: ,  ,  ,   and    
Open Access
|Nov 2015
Authors

Authors

N.K.K. Brintha

ilbrintha@yahoo.com

University of Peradeniya

S. Samita

congress@pgia.ac.lk

University of Peradeniya

N.R. Abeynayake

congress@pgia.ac.lk

Wayamba University of Sri Lanka

I.M.S.K. Idirisinghe

congress@pgia.ac.lk

Coconut Research Institute

A.M.D.P. Kumarathunga

congress@pgia.ac.lk

Coconut Research Institute
DOI: https://doi.org/10.4038/tar.v25i4.8058 | Journal eISSN: 2706-0233
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Language: English
Page range: 523 - 531
Published on: Nov 18, 2015
Published by: Postgraduate Institute of Agriculture (PGIA)
In partnership with: Paradigm Publishing Services
Keywords:
Non stochastic process,
predicted production,
trend components

© 2015 N.K.K. Brintha, S. Samita, N.R. Abeynayake, I.M.S.K. Idirisinghe, A.M.D.P. Kumarathunga, published by Postgraduate Institute of Agriculture (PGIA)
This work is licensed under the Creative Commons License.

Volume 25 (2014): Issue 4
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