Add to ORKGThis paper presents a new test for normality which is based on a complete characterization of the normal distribution. Motivation for the test is given in terms of a proof of this characterization. The test is derived and evaluated by computer-simulated sampling from alternative distributions. The empirical powers of the test generated from such samplings are tabled and compared to nine commonly used tests. Evaluation of the proposed test is discussed and further avenues of investigation are suggested
Standard statistical procedures often require data to be normally distributed and the results of the...
A methodology is proposed to compare the power of normality tests with a wide variety of alternative...
We study the empirical size and power of some recently proposed tests for multivariate normality (MV...
The purposes of the thesis were to review some of the existing methods for testing normality and to ...
In this paper, a goodness-of-fit test for normality based on the comparison of the theoretical and e...
This paper presents a statistic for testing a complete sample for normality. The test statistic is d...
Thesis (M.A.)--Boston UniversityPLEASE NOTE: Boston University Libraries did not receive an Authoriz...
Establishing that there is no compelling evidence that some population is not normally distributed i...
Many statistical tests are based around an assumption of “normality”. The reasoning for this choice...
A common assumption of many statistical procedures during data analysis is that the data is normally...
The assumption of normality is very important because it is used in many statistical procedures such...
Normality is a distributional requirement of classical test statistics. In order for the test statis...
The importance of checking the normality assumption in most statistical procedures especially parame...
Standard statistical procedures often require data to be normally distributed and the results of the...
Statistical inference in the form of hypothesis tests and confidence intervals often assumes that th...
Standard statistical procedures often require data to be normally distributed and the results of the...
A methodology is proposed to compare the power of normality tests with a wide variety of alternative...
We study the empirical size and power of some recently proposed tests for multivariate normality (MV...
The purposes of the thesis were to review some of the existing methods for testing normality and to ...
In this paper, a goodness-of-fit test for normality based on the comparison of the theoretical and e...
This paper presents a statistic for testing a complete sample for normality. The test statistic is d...
Thesis (M.A.)--Boston UniversityPLEASE NOTE: Boston University Libraries did not receive an Authoriz...
Establishing that there is no compelling evidence that some population is not normally distributed i...
Many statistical tests are based around an assumption of “normality”. The reasoning for this choice...
A common assumption of many statistical procedures during data analysis is that the data is normally...
The assumption of normality is very important because it is used in many statistical procedures such...
Normality is a distributional requirement of classical test statistics. In order for the test statis...
The importance of checking the normality assumption in most statistical procedures especially parame...
Standard statistical procedures often require data to be normally distributed and the results of the...
Statistical inference in the form of hypothesis tests and confidence intervals often assumes that th...
Standard statistical procedures often require data to be normally distributed and the results of the...
A methodology is proposed to compare the power of normality tests with a wide variety of alternative...
We study the empirical size and power of some recently proposed tests for multivariate normality (MV...