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college, validate it on sub-sets of the 1000 students that were not included when creating the prediction model, and then use the model to make predictions about new students.

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strictly stationary, but this is not true for weakly stationary. Weak stationarity usually does not imply strict stationarity as higher moments of the process may depend on time t. If time series fX tgis Gaussian (i.e. the distribution functions of fX tgare all multivariate Gaussian), then weakly stationary also implies strictly stationary.

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as a Gaussian distribution. In suc h a case the MSE serv es to pro vide the v alue of ^ x k whic h maximises the lik eliho o d of the signal y k. In the follo wing deriv ation the ... and is assumed stationary o v er time, (nxm); w k is the asso ciated white noise pro cess with kno wn co v ariance, (nx1). Observ ations on this v ariable can b e ...

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the stationary phase on the inner wall is 0.5 μm. Unretained solute pass through in 63 s and a particular solute emerges in 433 s. Find the partition coefficient for this solute and find the fraction of time spent in the stationary phase. 6. In a typical liquid, …

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