analisis data berkala menggunakan metode semi average

Ridho Anggoro Yudi

No 6fbuk, OSF Preprints from Center for Open Science

Abstract: Data collected from time to time to describe the development of an activity (development of production, prices, sales results, population, number of accidents, number of crimes, etc.). Trend (T) (or secular trend) is a long-term movement that shows a trend towards one direction of increase and decrease as a whole over the past 10 years, trends are very useful for making forecasts. The methods commonly used include the Semi Average Method and the Least Square Method. Group the data into two groups with the same number of years and number of periodic series. Calculate the semi-total for each group by adding up the periodic series values ​​for each group. Find the average computed for each group to get the semi average. To determine the linear trend value for certain years, it can be formulated as follows: Y '= periodic data (time

Date: 2020-12-21
References: Add references at CitEc
Citations:

Downloads: (external link)
https://osf.io/download/5fe150ef66e535000faade8c/

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:osf:osfxxx:6fbuk

DOI: 10.31219/osf.io/6fbuk

Access Statistics for this paper

More papers in OSF Preprints from Center for Open Science
Bibliographic data for series maintained by OSF ().