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Definition. The explained sum of squares (ESS) is the sum of the squares of the deviations of the predicted values from the mean value of a response variable, in a standard regression model — for example, yi = a + b1x1i + b2x2i + ... + εi, where yi is the i th observation of the response variable, xji is the i th observation of the j th ...
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if the set of upper bounds is nonempty, and = + otherwise.. Now assume in addition that (,,) is a measure space and, for simplicity, assume that the function is measurable. . Similar to the supremum, the essential supremum of a function is characterised by the following property: () for -almost all and if for some {+} we have () for -almost all then .
Essbase is a multidimensional database management system (MDBMS) that provides a platform upon which to build analytic applications. Essbase began as a product from Arbor Software, which merged with Hyperion Software in 1998. Oracle Corporation acquired Hyperion Solutions Corporation in 2007. Until late 2005 IBM also marketed an OEM version of ...
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Epworth Sleepiness Scale. The Epworth Sleepiness Scale ( ESS) is a scale [1] [2] intended to measure daytime sleepiness that is measured by use of a very short questionnaire. This can be helpful in diagnosing sleep disorders. It was introduced in 1991 by Dr Murray Johns of Epworth Hospital in Melbourne, Australia. [3]