Related papers: How many distribution functions are there? Bracket…

We investigate how the range of parameters that specify the two-particle distribution function is restricted if we require that this function be obtained from the $n^{\rm th}$ order distribution functions that are symmetric with respect to…

The paper has been withdrawn due to a crucial error in section 3.

This paper has been withdrawn by the author.

This paper has been withdrawn due to an incorrect proof.

This paper has been withdrawn by the authors, due to a crucial error.

This paper has been withdrawn by author due to an error in the proof.

A broad set of sufficient conditions that guarantees the existence of the maximum entropy (maxent) distribution consistent with specified bounds on certain generalized moments is derived. Most results in the literature are either focused on…

This paper is withdrawn by the author. See math.GT/9811093 for replacement.

Let $X$ be a random variable with distribution function $F,$ and $X_{1},X_{2},...,X_{n}$ are independent copies of $X.$ Consider the order statistics $X_{i:n},$ $i=1,2,...,n$ and denote $F_{i:n}(x)=P\{X_{i:n}\leq x\}.$ Using majorization…

This paper has been withdrawn by the author due to a coming paper completely superseding it.

This paper has been withdrawn by the author due to the presented idea is wrong.

This paper is withdrawn due to a mistake. The revised version with a new tiltle can be found in hep-ph/0502199.

This paper has been withdrawn by the author due to a crucial sign error in equation 1.

This paper has been withdrawn by the author, due to obsolete reference [4], insufficient discussion in sec. 4, and major conceptual error in sec. 5.

This paper has been withdrawn by the authors due to a crucial error.

This paper has been withdrawn by the author because Lemma 3 is incorrect. This mistake is crucial in this paper.

This paper has been withdrawn because it is a duplicate of [hep-ph/0609266].

We introduce a new class of multiplications of distributions in one dimension merging together two different regularizations of distributions. Some of the features of these multiplications are discussed in a certain detail. We use our…

This paper has been withdrawn by the author(s), due a crucial sign error in conclusion .

The wrapped normal distribution arises when a the density of a one-dimensional normal distribution is wrapped around the circle infinitely many times. At first look, evaluation of its probability density function appears tedious as an…