We suggest a convenient version of the omnibus test for normality, using skewness and kurtosis based on Shenton and Bowman [Journal of the American Statistical Association (1977) Vol. 72, pp. 206-211], which controls well for size, for samples as low as 10 observations. A multivariate version is introduced. Size and power are investigated in comparison with four other tests for multivariate normality. The first power experiments consider the whole skewness-kurtosis plane; the second use a bivariate distribution which has normal marginals. It is concluded that the proposed test has the best size and power properties of the tests considered
In this paper, we consider the multivariate normality test based on measure of multivariate sample s...
A test to assess if a sample comes from a multivariate skew-normal distribution is proposed. The tes...
In many statistical analyses, data need to be approximately normal or normally distributed.The kalmo...
We suggest a convenient version of the omnibus test for normality, using skewness and kurtosis based...
We suggest a convenient version of the omnibus test for normality, using skewness and kurtosis based...
Tests for univariate normality, some of them not included in previous comparisons, are com-pared acc...
Methods of assessing the degree to which multivariate data deviate from multinormality are discussed...
A test of multivariate normality given by Koziol (1986, 1987) is examined in some detail for the biv...
A new statistical procedure for testing normality is proposed. The Q statistic is derived as the rat...
The assumption of multivariate normality is the basis of the standard methodology of multivariate m...
A family of statistics for testing normality is presented which includes new tests for skewness, kur...
This review is about verifying and generalizing the supremum test statistic developed by Balakrishna...
This paper presents a statistic for testing a complete sample for normality. The test statistic is d...
There are many methods of construction of multivariate normality tests. The current review of the l...
A test to assess if a sample comes from a multivariate skew-normal distribution is proposed. The tes...
In this paper, we consider the multivariate normality test based on measure of multivariate sample s...
A test to assess if a sample comes from a multivariate skew-normal distribution is proposed. The tes...
In many statistical analyses, data need to be approximately normal or normally distributed.The kalmo...
We suggest a convenient version of the omnibus test for normality, using skewness and kurtosis based...
We suggest a convenient version of the omnibus test for normality, using skewness and kurtosis based...
Tests for univariate normality, some of them not included in previous comparisons, are com-pared acc...
Methods of assessing the degree to which multivariate data deviate from multinormality are discussed...
A test of multivariate normality given by Koziol (1986, 1987) is examined in some detail for the biv...
A new statistical procedure for testing normality is proposed. The Q statistic is derived as the rat...
The assumption of multivariate normality is the basis of the standard methodology of multivariate m...
A family of statistics for testing normality is presented which includes new tests for skewness, kur...
This review is about verifying and generalizing the supremum test statistic developed by Balakrishna...
This paper presents a statistic for testing a complete sample for normality. The test statistic is d...
There are many methods of construction of multivariate normality tests. The current review of the l...
A test to assess if a sample comes from a multivariate skew-normal distribution is proposed. The tes...
In this paper, we consider the multivariate normality test based on measure of multivariate sample s...
A test to assess if a sample comes from a multivariate skew-normal distribution is proposed. The tes...
In many statistical analyses, data need to be approximately normal or normally distributed.The kalmo...