Testing normality based on sample information content
Many statistical methods hinges on the assumption that the data are a random sample from a normal distribution. As a result, there is a growing body of research on normality tests. This article deals with the aforesaid testing problem from an information-theoretic viewpoint. Some new tests are developed and their behaviors are studied by means of simulation. It turns out that our tests are generally more powerful than their competitors.
Disclaimer/Regarding indexing issue:
We have provided the online access of all issues and papers to the indexing agencies (as given on journal web site). It’s depend on indexing agencies when, how and what manner they can index or not. Hence, we like to inform that on the basis of earlier indexing, we can’t predict the today or future indexing policy of third party (i.e. indexing agencies) as they have right to discontinue any journal at any time without prior information to the journal. So, please neither sends any question nor expects any answer from us on the behalf of third party i.e. indexing agencies.Hence, we will not issue any certificate or letter for indexing issue. Our role is just to provide the online access to them. So we do properly this and one can visit indexing agencies website to get the authentic information.