return Math.Sign( SumProd ) * Math.Pow( Math.Abs( SumProd ), 1.0 / data.Count ); case AverageType.ArithmeticMean: SumProd = 0.0; for( int Index = 0; Index < data.Count; Index++ ) SumProd += (double)data[ Index ]; return SumProd / data.Count; case AverageType.Median: if( ...
importcom.google.common.math.DoubleMath;//导入方法依赖的package包/类privatestaticvoidassertDistributionStatsMatchCalcFromSample(Distribution distribution,double[] samples){doublewantedMean = DoubleMath.mean(samples);doublewantedSumSquareDeviations =0.0;for(inti =0; i < samples.length; i++) { wantedSumS...
return Math.Sign( SumProd ) * Math.Pow( Math.Abs( SumProd ), 1.0 / data.Count ); case AverageType.ArithmeticMean: SumProd = 0.0; for( int Index = 0; Index < data.Count; Index++ ) SumProd += (double)data[ Index ]; return SumProd / data.Count; case AverageType.Median: if( ...
return Math.Sign( SumProd ) * Math.Pow( Math.Abs( SumProd ), 1.0 / data.Count ); case AverageType.ArithmeticMean: SumProd = 0.0; for( int Index = 0; Index < data.Count; Index++ ) SumProd += (double)data[ Index ]; return SumProd / data.Count; case AverageType.Median: if( ...
return Math.Sign( SumProd ) * Math.Pow( Math.Abs( SumProd ), 1.0 / data.Count ); case AverageType.ArithmeticMean: SumProd = 0.0; for( int Index = 0; Index < data.Count; Index++ ) SumProd += (double)data[ Index ]; return SumProd / data.Count; case AverageType.Median: if( ...
return Math.Sign( SumProd ) * Math.Pow( Math.Abs( SumProd ), 1.0 / data.Count ); case AverageType.ArithmeticMean: SumProd = 0.0; for( int Index = 0; Index < data.Count; Index++ ) SumProd += (double)data[ Index ]; return SumProd / data.Count; case AverageType.Median: if( ...
return Math.Sign( SumProd ) * Math.Pow( Math.Abs( SumProd ), 1.0 / data.Count ); case AverageType.ArithmeticMean: SumProd = 0.0; for( int Index = 0; Index < data.Count; Index++ ) SumProd += (double)data[ Index ]; return SumProd / data.Count; case AverageType.Median: if( ...
摘要: In the current chapter, we introduce the Nrlund method and the Weighted Mean method for double sequences and establish many of their properties.关键词:The Nörlund method for double sequences The Weighted Mean method for double sequences mathcal N}$$ N -matrix mathcal N}^{(1)}$...
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Returns a value that you can use to construct a confidence interval for a population mean. C# Kopírovať public double Confidence_Norm (double Arg1, double Arg2, double Arg3); Parameters Arg1 Double The significance level used to compute the confidence level. The confidence level equals ...