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稳定且不变的调整有向似然AI 解读

For the purpose of making inferences for a one-dimensional interest parameter, or constructing approximate complementary ancillaries or residuals, the directed likelihood or signed square root of the likelihood ratio statistic can be adjusted so that the resulting modified directed likelihood is under ordinary repeated sampling approximately standard normal with error of O(n−3/2), conditional on a suitable ancillary statistic and hence unconditionally. In general, suitable…

稳定且具不变性的调整定向似然AI 解读

SUMMARY For the purpose of making inferences for a one-dimensional interest parameter, or constructing approximate complementary ancillaries or residuals, the directed likelihood or signed square root of the likelihood ratio statistic can be adjusted so that the resulting modified directed likelihood is under ordinary repeated sampling approximately standard normal with error of O(n-312), conditional on a suitable ancillary statistic and hence unconditionally. In general,…

尺度参数限于有限范围时的位置估计与广义辅助统计量AI 解读

The estimation of the location parameter θ in a location-scale model is considered when the scale parameter σ is confined to a finite range. The application to robustness considerations and some implications for conditional inference are discussed.

尺度参数限于有限范围时的位置估计：广义辅助统计量AI 解读

The estimation of the location parameter θ in a location-scale model is considered when the scale parameter σ is confined to a finite range. The application to robustness considerations and some implications for conditional inference are discussed.