Accord.Statistics.Testing.Power.TwoSampleZTestPowerAnalysis.ComputeEffect C# (CSharp) Метод

        public override void ComputeEffect()
        {
            double Za = ZTest.PValueToStatistic(Size, Tail);
            double Zb = NormalDistribution.Standard
                    .InverseDistributionFunction(Power);

            double n = Math.Sqrt(Samples1 + Samples2);
            double d = (Za + Zb) / n;

            Effect = d;
        }

        /// <summary>
        ///   Estimates the number of samples necessary to attain the
        ///   required power level for the given effect size.
        /// </summary>
        ///
        /// <param name="sampleSize1">The number of observations in the first sample.</param>
        /// <param name="sampleSize2">The number of observations in the second sample.</param>
        /// <param name="power">The desired power level. Default is 0.8.</param>
        /// <param name="alpha">The desired significance level. Default is 0.05.</param>
        /// <param name="hypothesis">The alternative hypothesis (research hypothesis) to be tested.</param>
        ///
        /// <returns>The required number of samples.</returns>
        ///
        public static TwoSampleZTestPowerAnalysis GetEffectSize(int sampleSize1, int sampleSize2,
                                                                double power = 0.8, double alpha = 0.05,
                                                                TwoSampleHypothesis hypothesis = TwoSampleHypothesis.ValuesAreDifferent)
        {
            var analysis = new TwoSampleZTestPowerAnalysis(hypothesis)
            {
                Samples1 = sampleSize1,
                Samples2 = sampleSize2,
                Size     = alpha,
                Power    = power,
            };

            analysis.ComputeEffect();

            return(analysis);
        }