New sufficient conditions for strong unimodality of multivariate discrete distributions

被引：1
|
作者：
Alharbi, Majed Ghazi [1 ]
Subasi, Ersoy [2 ]
Subasi, Munevver Mine [1 ]
机构：
[1] Florida Inst Technol, Dept Math Sci, 150 W Univ Blvd, Melbourne, FL 32901 USA
[2] Florida Inst Technol, Dept Engn Syst, 150 W Univ Blvd, Melbourne, FL 32901 USA
来源：
DISCRETE APPLIED MATHEMATICS | 2018年 / 237卷
关键词：
Strong unimodality; Logconcavity; Discrete multivariate distributions; Multivariate Polya-Eggenberger distribution; COMPOUND DISTRIBUTIONS; CONVEX-FUNCTIONS; OPTIMIZATION; CONCAVITY; INTEGERS;
D O I：
10.1016/j.dam.2017.11.026
中图分类号：
O29 [应用数学];
学科分类号：
070104 ;
摘要：
New sufficient conditions that ensure the strong unimodality of multivariate discrete distributions are obtained by the use of a special simplicial subdivision of multidimensional space. Strong unimodality of multivariate Polya-Eggenberger distribution is shown. (C) 2017 Elsevier B.V. All rights reserved.
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页码：1 / 25
页数：25
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