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估计中的偏差减少AI 解读

A general procedure for reducing the bias of point estimators is introduced. The technique includes the “jackknife” as a special case. The existing notion of reapplication is shown to lack a desirable bias removal property for which it was originally designed. Proper reapplication is proposed to conform to the general notion of higher order bias elimination and an interesting algorithm for the correct method is defined. Illustrative examples are drawn from ratio estimation,…

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Student t 检验的功效AI 解读

Tables are given which correspond to the power of various tests which use the Student t-distribution. Noncentrality parameters are given to 5 decimal places for tests which have Type I error equal to 0.050, 0.025, 0.010 and 0.005. Type II errors are covered as follows: 0.01, 0.05, 0.10 (0.10) 0.90. One-sided and two-sided tests are discussed.

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正态与对数正态分布变异系数的置信区间AI 解读

L. H. KOOPMANS, D. B. OWEN, J. I. ROSENBLATT; Confidence intervals for the coefficient of variation for the normal and log normal distributions, Biometrika

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