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In [[probability theory]] and [[statistics]], a '''conditional variance''' is the [[variance]] of a [[random variable]] given the given the value(s) of one or more other variables.
Particularly in [[econometrics]], the conditional variance is also known as the '''scedastic function''' or '''skedastic function'''.<ref>{{cite book |first=Aris |last=Spanos |chapter=Conditioning and regression |title=Probability Theory and Statistical Inference |___location=New York |publisher=Cambridge University Press |year=1999 |isbn=0-521-42408-9 |pages=339–356 [p. 342] |url=https://books.google.com/books?id=G0_HxBubGAwC&pg=PA342 }}</ref> Conditional variances are important parts of [[autoregressive conditional heteroskedasticity]] (ARCH) models.