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Bias and MSE of θ with for different censoring schemes when θ = 0.9.
Bias and MSE of θ with for different censoring schemes when θ = 0.9.
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Figshare
2022-11-15 更新
2026-04-28 收录
删失数据估计
统计模拟评估
数据链接:
https://figshare.com/articles/dataset/Bias_and_MSE_of_i_i_with_for_different_censoring_schemes_when_i_i_0_9_/21559956
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资源简介:
Bias and MSE of θ with for different censoring schemes when θ = 0.9.
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创建时间:
2022-11-15
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Summary of simulation study results: Mean squared errors (MSE) and coverage of the 95% confidence interval for the residual and doubly-ranked stratification method in each scenario.
统计模拟评估
分析方法比较
MSE is calculated as an average across estimates in all 10 strata, and the results are averaged across 1000 datasets per scenario.
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BIAS and MSE (in parentheses) of four distribution simulation result for Example 4.
统计模拟评估
模型误差分析
BIAS and MSE (in parentheses) of four distribution simulation result for Example 4.
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2020-11-10 更新
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Additional file 4: of knnAUC: an open-source R package for detecting nonlinear dependence between one continuous variable and one binary variable
非线性依赖检测
统计模拟评估
The recalculated (100 times) simulation power of knnAUC with default parameters in nine simple functions. (XLSX 37 kb)
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2024-02-06 更新
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Comparisons between the goodness-of-fit test and the inverted χ 2 -test in data sets generated by simulation from a population satisfying the null hypothesis of relevant disequilibrium [upper lines] and being in perfect HWE [lines 3-4], respectively.
群体遗传学
统计模拟评估
[Nominal significance level α = 0.05; equivalence margin ; 100,000 replications per Monte Carlo experiment].
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CP and AW of 95 BCa bootstrap p CIs for model parameters with 1000 repliciates and parameter setting I (M1).
统计模拟评估
自助法置信区间
CP and AW of 95 BCa bootstrap p CIs for model parameters with 1000 repliciates and parameter setting I (M1).
Figshare
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