| dc.contributor.author | Khogali, KA | |
| dc.contributor.author | Odhiambo, JW | |
| dc.contributor.author | Owino, JO | |
| dc.date.accessioned | 2013-06-18T07:09:07Z | |
| dc.date.issued | 2002 | |
| dc.identifier.citation | ON SMOOTHING TIME SERIES DATA USING A CLASSICAL MOVING AVERAGE FORMULA Khogali A. Khogali , J. W Odhiambo and John. O. Owino | en |
| dc.identifier.uri | http://interstat.statjournals.net/YEAR/2002/articles/0211003.pdf | |
| dc.identifier.uri | http://erepository.uonbi.ac.ke:8080/xmlui/handle/123456789/35329 | |
| dc.description.abstract | In time series realizations, assuming that the trend component to be approximated
by a polynomial in time, smoothing filters based on a moving-average formula are
proposed which link the degree of this polynomial to the number of terms operating
on the moving-average formula. Their properties are examined. Illustrations via
data collected from three East Africa Regional meteorological stations are reported. | en |
| dc.language.iso | en | en |
| dc.subject | Trend | en |
| dc.subject | Linear Time Invariant Moving | en |
| dc.subject | average Filter | en |
| dc.subject | Differencing | en |
| dc.subject | Unbi- ased Estimator | en |
| dc.title | ON SMOOTHING TIME SERIES DATA USING A CLASSICAL MOVING AVERAGE FORMULA | en |
| dc.type | Article | en |
| local.publisher | Department of Mathematics, University of Nairobi | en |
