On a Class of Rank Order Tests for Regression with Partially Informed Stochastic Predictors

On a Class of Rank Order Tests for Regression with Partially Informed Stochastic Predictors

On a Class of Aligned Rank Order Tests for Multiresponse Experiments in Some Incomplete Block Designs

Partially Linear Reduced-rank Regression

We introduce a new dimension-reduction technique, the Partially Linear Reduced-rank Regression (PLRR) model, for exploring possible nonlinear structure in a regression involving both multivariate response and covariate. The PLRR model specifies that the response vector loads linearly on some linear indices of the covariate, and nonlinearly on some other indices of the covariate. We give a set o...

• • I ON A CLASS OF RANK ORDER TESTS Fon INDEPENDENCE IN MULTIVARIATE

the washback effect of discretepoint vs. integrative tests on the retention of content in knowledge tests

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