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多元分析中处理效应与误差的条件推断AI 解读

Directional methods of conditional inference are applied to the multivariate analysis of variance. Exact and easily implemented tests are derived for treatment effect, error variance matrix, and treatment improvement. Each test provides a physical measure of the magnitude of the departure from expectation under the hypothesis and is conditional on the indicated direction of departure. For treatment effect the test provides a geometrically understandable alternative to tests…

多元分析中处理效应与误差的条件推断AI 解读

Directional methods of conditional inference are applied to the multivariate analysis of variance. Exact and easily implemented tests are derived for treatment effect, error variance matrix, and treatment improvement. Each test provides a physical measure of the magnitude of the departure from expectation under the hypothesis and is conditional on the indicated direction of departure. For treatment effect the test provides a geometrically understandable alternative to tests…

若干回归统计量的分布AI 解读

The conventional entry test for a new variable in stepwise regression is not theoretically correct, but is used because the necessary exact distributions are not known. Some distributional results which throw light on the situation are given.

The conventional entry test for a new variable in stepwise regression is not theoretically correct, but is used because the necessary exact distributions are not known. Some distributional results which throw light on the situation are given.