文章基本信息

标题：Forecasting Black Tea Auction Prices by Capturing Common Seasonal Patterns
作者：D. Induruwage ; C. D. Tilakaratne ; S.R.M.S.P. Rajapaksha 等
期刊名称：Sri Lankan Journal of Applied Statistics
印刷版ISSN：1391-4987
电子版ISSN：2424-6271
出版年度：2015
卷号：16
期号：3
DOI：10.4038/sljastats.v16i3.7832
语种：English
出版社：The Institute of Applied Statistics, Sri Lanka
摘要：The Sri Lankan Journal of Applied Statistics (SLJAS) is an open-access, international, double-blind peer-reviewed journal published by the Institute of Applied Statistics, Sri Lanka (IASSL). The main purpose of the journal is to publish the results of original work on applications of Statistics and on theoretical and methodical aspects of Statistics. The journal also welcomes critical reviews including conceptual discussions, opinions and book reviews. Applications of Statistics in the area of Agriculture & Forestry, Medical, Dental and Veterinary Sciences, Natural, Physical Sciences, Social Sciences, Economics and Actuarial Science fall within the scope of the journal.
关键词：Seasonal Unit Roots; Seasonal Cointegration; Seasonal Error Correction Models; Vector Error Correction Model; Forecasting; Tea auction prices