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... settings. To address these limitations, this paper presents a new weighting method that finds the weights of minimum variance that adjust or balance the empirical distribution of the observed covariates up to levels prespecified by the researcher. This method allows the researcher to balance very pr ...
... settings. To address these limitations, this paper presents a new weighting method that finds the weights of minimum variance that adjust or balance the empirical distribution of the observed covariates up to levels prespecified by the researcher. This method allows the researcher to balance very pr ...
Long-Run Covariability
... simplification offered by these averages is that they are normally distributed in large samples even though the stochastic process generating the data may exhibit substantial persistence (Müller and Watson (forthcoming)). This allows large-sample inference about covariability parameters to be transfo ...
... simplification offered by these averages is that they are normally distributed in large samples even though the stochastic process generating the data may exhibit substantial persistence (Müller and Watson (forthcoming)). This allows large-sample inference about covariability parameters to be transfo ...
Observed-Score Linking and Equating
... a confounding factor in the estimation of form difficulty differences. In the nonequivalentgroups design these issues are both addressed through the use of what is referred to as an anchor test, V , a common measure of ability available for both groups. All non-equivalence in ability is assumed to b ...
... a confounding factor in the estimation of form difficulty differences. In the nonequivalentgroups design these issues are both addressed through the use of what is referred to as an anchor test, V , a common measure of ability available for both groups. All non-equivalence in ability is assumed to b ...
Lecture 3: Theano Programming
... # compute vector of class-membership probabilities in symbolic ...
... # compute vector of class-membership probabilities in symbolic ...
