Alpha normal distribution and its application in China’s logistics prosperity index

被引：0
|
作者：
Zhang, Xiaheng [1 ]
Zhang, Ronggang [2 ]
Li, Lingling [3 ]
机构：
[1] Business School, Northwest University of Political Science and Law, Xi’an,710000, China
[2] Business School, Northwest University of Political Science and Law, Xi’an,710000, China
[3] Business School, Northwest University of Political Science and Law, Xi’an,710000, China
来源：
Advances in Modelling and Analysis A | 2017年 / 54卷 / 02期
关键词：
Asymmetric distribution - Heavy-tailed - ITS applications - Skewed data - Symmetric distributions;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
Despite the extensive use in data processing, the symmetric distribution fails to yield satisfactory results. Based on the traditional normal distribution, the asymmetric distribution is often adopted to handle the features of asymmetric-tailed data. In view of the above, this paper proposes a new normal distribution, alpha normal distribution, to deal with skewed and heavy-tailed data. The validity of the proposed distribution was verified by fitting the data of China’s logistics prosperity index (LPI). © 2017 AMSE Press. All rights reserved.
引用
收藏
页码：278 / 289
相关论文
共 50 条
  • [1] China's Rural Logistics Distribution
    Ji, Guojun
    Huang, Weiwang
    2009 6TH INTERNATIONAL CONFERENCE ON SERVICE SYSTEMS AND SERVICE MANAGEMENT, VOLS 1 AND 2, 2009, : 337 - 342
  • [2] Methods to construct logistics operation index and its application
    He, Xing-Dong
    Liu, Kai
    Lu, Hua
    Xitong Gongcheng Lilun yu Shijian/System Engineering Theory and Practice, 2012, 32 (12): : 2677 - 2683
  • [3] A model for seasonality and distribution of leaf area index of forests and its application to China
    Luo, TX
    Neilson, RP
    Tian, HQ
    Vörösmarty, CJ
    Zhu, HZ
    Liu, SR
    JOURNAL OF VEGETATION SCIENCE, 2002, 13 (06) : 817 - 830
  • [4] Allocate distribution center in agro logistics - Model and its application
    Mao Yuzhong
    Gong Yun
    Proceeding of the 2006 International Conference on Management of Logistics and Supply Chain, 2006, : 840 - 844
  • [5] A characterization of multivariate normal distribution and its application
    Yang, ZH
    Fang, KT
    Liang, JJ
    STATISTICS & PROBABILITY LETTERS, 1996, 30 (04) : 347 - 352
  • [6] A characterization of multivariate normal distribution and its application
    Stat Probab Lett, 4 (347):
  • [7] Application research on China's logistics network structure: an overview
    Cui, Zhiwei
    Wang, Jianwei
    Gao, Chao
    Dong, Shi
    INTERNATIONAL JOURNAL OF LOGISTICS-RESEARCH AND APPLICATIONS, 2024, 27 (08) : 1277 - 1299
  • [8] Improvement of Wolf Pack Algorithm and Its Application to Logistics Distribution Problems
    Zheng, Wei
    SCIENTIFIC PROGRAMMING, 2022, 2022
  • [9] Stochastic Dominance Application on Jakarta Islamic Index with Normal Distribution
    Rahmaningrum, A.
    Slamet, I
    Subanti, S.
    INTERNATIONAL CONFERENCE ON SCIENCE AND APPLIED SCIENCE (ICSAS2020), 2020, 2296
  • [10] A forecast on the prosperity of China’s auto industry and discussion on its development approach
    by CHEN Youjun
    ChinaAuto, 2006, (04) : 10 - 11
12345