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Textiles along with clothing sector are truly considered the backbone of the world’s economy.
The main objective of this study was Time Series Analysis of the export flat bed sheet and pillow product of Kombolcha Textile Share Company.
The descriptive and inferential statistical techniques were used for data analysis.
Univariate Time series analysis uses only the past history of the time series forecast plus current and past random error terms.
Time series data used in this analysis consists of the monthly data of 2007 to 2016 on export flat bed sheet and pillow product, univariate secondary data obtained from the monthly report of the Kombolcha Textile Share Company.
The Autocorrelation Function (ACF) and Partial Autocorrelation Function (PACF) were the most important elements for model identification and AIC and SBC were also used to select the best fit of model adequacy.
ALEMAYEHU AMSALU ALEN (author) got his BSc degree in Statistics from University of Gondar in 2014.
He received Master of Scince in Industrial Statistics from Bahir dar University in 2017.
He is a lecturer at Woldia University in North Wollo.
Salie Ayalew (co-author) is Assistant professor of Statistics at University of Gondar, Ethiopia.
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