Notice of RetractionMaximum likelihood adjustment of the monadic unsymmetrical P-norm distribution

Notice of Retraction

After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.

We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.

The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.

According to the magnitudes of the measuring errors, the measuring errors distribution is determined by using the distribution collocation test method or figure method, but it is difficult to obtain the specific distribution. According to the foundational properties of the random errors, this paper deduces a more general error distribution-the unsymmetrical P-norm distribution, and then discussing the maximum likelihood adjustment of the p-norm distribution in detail. The distributions of degenerate, Laplace, normal and rectangular are the specific cases of the unsymmetrical P-norm distribution respectively. The maximum likelihood adjustment method of the unsymmetrical P-norm distribution is proposed, and the foundational equations of the adjustment are given. For each concrete measuring data, we can select a suitable value for p to make the theoretical model of the error distribution which is used in the data processing be more closer to the true errors distribution than the normal distribution.