Python scipy.stats 模块， scoreatpercentile() 实例源码. 我们从Python开源项目中，提取了以下19个代码示例，用于说明如何使用scipy.stats.scoreatpercentile()。

as being outlier if the absolute difference between the observation and the sample median is larger than the Median Absolute Deviation divided by 0.6745.

31 0.6745 81. 36. Median. 599.60. 3rd Q uartile.

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Feb 19, 2021 sigma = medianAbsoluteDeviation / 0.6745 // Return threshold double threshold = median + k * sigma /** * Get median value from array (this 

Mi=0.6745 * (Xi -Median(Xi)) / MAD, where MAD stands for Median Absolute Deviation. Any number in a data set with the absolute value of modified Z-score exceeding 3.5 is considered an "Outlier". Modified Z-score could be used to detect outliers in Microsoft Excel worksheet as described below. Modified z-score = 0.6745(x i – x̃) / MAD. where: x i: A single data value; x̃: The median of the dataset; MAD: The median absolute deviation of the dataset; A modified z-score is more robust because it uses the median to calculate z-scores as opposed to the mean, which is known to be influenced by outliers.

av P Cronvall · 2004 — ˆσ = Median(|Yi|)/0.6745, där Yi ∈ delband HH1, samt ˆα = SampleV ar(Y ) − ˆσ2. Den mjuka trösklingsfunktionen är möjlig att approximera 

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Som lämpliga värden för konstanterna k och c anges ofta k = 1,345 och c = 4,685, vilka motsvarar 95-procentig  Vidare presterade logistiska regressionsklassificerare utbildade med dessa motiv bra i de flesta lektiner som undersöktes med ett median AUC-värde på 0, 89. Prov 3: Mg-NF ger signifikant högre medelvärde än MgNT (NF-NT =0.8027±0.6745).
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11 0.6745. 81. 36. 22. 62.

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MAD Scale Factor 0.6745 Number with Y Missing 2 Sum of Robust Weights 13.065 Run Information Value Iterations 15 Max % Change in any Coef 0.001 R² after Robust Weighting 0.6521 S using MAD 3.88 S using MSE 6.41 Completion Status Normal Completion This …

600.00. Maximum. 601.20. 95% Confidence Interval for Mean. 599.43 Om andelen defekta är 25% blir Process Z = 0.6745. Median.