Normality Test function used to perform D'Agostino-K squared tests Analysis. Syntaxint ocmath_k_squared_test( const double * pData, UINT nSize, NormTestResults2 * Chi2Res, NormTestResults2 * SkewRes, NormTestResults2 * KrutRes )
D'Agostino's K-squared test can tells us whether a signal is come from normally distributed population. The bigger, the answer, the mode departed from normal distribution. This test calculates the Kurtosis and skewness of signal and mix them to obtain the K-square. 인용 양식 Vahid ...
Test statistics typically used in this context are based on scorings of the ordinal levels, but the results of these tests are highly dependent on the choice of scores. The authors propose a test which naturally modifies the Pearson chi-squared statistic to incorporate the ordinal information. ...
Test statistics typically used in this context are based on scorings of the ordinal levels, but the results of these tests are highly dependent on the choice of scores. The authors propose a test which naturally modifies the Pearson chi-squared statistic to incorporate the ordinal information. ...
The paper addresses a critical need for innovative research methodology that conducted a research study aimed at verifying the Tri-Squared Test as the ideal statistical framework to empower faculty as leaders in academic research from a holistic problem-solving approach....
A Nonparametric Test for Spatial Isotropy Using Subsampling A common requirement for spatial modeling is the development of an appropriate correlation structure. Although the assumption of isotropy is often made for... Y Guan,M Sherman,JA Calvin - 《Publications of the American Statistical Association...
Evaluation and Research of Determining Gas Well Deliverability Method by Using Non-stabilized Well Test The productivity of oil and gas well plays an important role in oil and gas field development, being a basis of design oil and gas field development plan a... H Tang,J Wang - International...