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dc.contributor.authorThiébaux, H. J.
dc.contributor.authorZwiers, F. W.
dc.date.accessioned2017-06-09T14:00:10Z
dc.date.available2017-06-09T14:00:10Z
dc.date.copyright1984/05/01
dc.date.issued1984
dc.identifier.issn0733-3021
dc.identifier.otherams-10719.pdf
dc.identifier.urihttp://onlinelibrary.yabesh.ir/handle/yetl/4145867
dc.description.abstractStatistical and dynamical relationships between observed values of a geophysical system or model effectively reduce the number of independent data. This reduction is expressible in terms of the covariance structure of the process and, in some instances, it is reasonable to devise a measure of the ?effective sample size? in terms of sample statistics. Here we discuss the concept of ?effective sample size,? and, having settled upon one of several possible definitions, examine various methods of estimating this quantity. It is found that ?effective sample size? is quite difficult to estimate reliably. However, a procedure is described which we feel could be used successfully; it is noted that the concept could be extended to spatial arrays of data, in some circumstances.
dc.publisherAmerican Meteorological Society
dc.titleThe Interpretation and Estimation of Effective Sample Size
dc.typeJournal Paper
dc.journal.volume23
dc.journal.issue5
dc.journal.titleJournal of Climate and Applied Meteorology
dc.identifier.doi10.1175/1520-0450(1984)023<0800:TIAEOE>2.0.CO;2
dc.journal.fristpage800
dc.journal.lastpage811
dc.treeJournal of Climate and Applied Meteorology:;1984:;volume( 023 ):;issue: 005
dc.contenttypeFulltext


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