THE DEVELOPMENT OF EFFICIENT LINEAR STATISTICAL OPERATORS FOR THE PREDICTION OF SEA-LEVEL PRESSURE

dc.contributor.author	White, R. M.
dc.contributor.author	Cooley, D. S.
dc.contributor.author	Derby, R. C.
dc.contributor.author	Seaver, F. A.
dc.date.accessioned	2017-06-09T14:11:57Z
dc.date.available	2017-06-09T14:11:57Z
dc.date.copyright	1958/10/01
dc.date.issued	1958
dc.identifier.issn	0095-9634
dc.identifier.other	ams-14464.pdf
dc.identifier.uri	http://onlinelibrary.yabesh.ir/handle/yetl/4150028
dc.description.abstract	The design of efficient linear statistical operators for the 24-hour prediction of the sea-level pressure distribution over the United States is considered. Factor analysis techniques for reduction and selection of independent variables in regression analysis are used as a means of obtaining efficient statistical forecasting equations. The effects of the variations in data density in time and space, and the extent of geographical coverage upon the explained variance of the sea-level pressure are examined.
dc.publisher	American Meteorological Society
dc.title	THE DEVELOPMENT OF EFFICIENT LINEAR STATISTICAL OPERATORS FOR THE PREDICTION OF SEA-LEVEL PRESSURE
dc.type	Journal Paper
dc.journal.volume	15
dc.journal.issue	5
dc.journal.title	Journal of Meteorology
dc.identifier.doi	10.1175/1520-0469(1958)015<0426:TDOELS>2.0.CO;2
dc.journal.fristpage	426
dc.journal.lastpage	434
dc.tree	Journal of Meteorology:;1958:;volume( 015 ):;issue: 005
dc.contenttype	Fulltext