A generalized non-linear forecasting model for limited overs international cricket

被引:5
|
作者
Asif, M. [1 ]
McHale, I. G. [2 ]
机构
[1] Univ Malakand, Dept Stat, Chakdara, Pakistan
[2] Univ Liverpool, Management Sch, Liverpool, Merseyside, England
关键词
Sports; Statistics; Modelling; Margin of victory; Ratings; FOOTBALL; METHODOLOGY;
D O I
10.1016/j.ijforecast.2018.12.003
中图分类号
F [经济];
学科分类号
02 ;
摘要
This paper proposes a generalized non-linear forecasting model (GNLM) for forecasting the number of runs remaining to be scored in an innings of cricket. The proposed model takes into account the numbers of overs left and wickets lost. The GNLFM can be used to build a model for any format of limited-overs international cricket. However, the purpose of its use in this paper is for building a forecasting model for projecting second innings total runs in Twenty-20 International cricket. Our model makes it possible to estimate the runs differential of the two competing teams whilst the match is in progress. The runs differential can be used not only to gauge the closeness of a game, but also to estimate the ratings of cricket teams that take into account the margin of victory. Furthermore, the well-known original Duckworth/Lewis (DL) model and the McHale/Asif version of it for revising targets in interrupted matches are special cases of our proposed generalized non-linear forecasting model. (C) 2019 International Institute of Forecasters. Published by Elsevier B.V. All rights reserved.
引用
下载
收藏
页码:634 / 640
页数:7
相关论文
共 50 条
  • [31] The α-κ-μ/gamma Distribution: A Generalized Non-Linear Multipath/Shadowing Fading Model
    Sofotasios, Paschalis C.
    Freear, Steven
    2011 ANNUAL IEEE INDIA CONFERENCE (INDICON-2011): ENGINEERING SUSTAINABLE SOLUTIONS, 2011,
  • [32] Damage Model for Dissipative Materials with Generalized Non-Linear Strength Theory
    Yu WeiWei
    Guo Xuan
    ADVANCED MATERIALS, PTS 1-3, 2012, 415-417 : 1439 - +
  • [33] Forecasting the Polish Zloty with Non-Linear Models
    Rubaszek, Michal
    Skrzypczynski, Pawel
    Koloch, Grzegorz
    CENTRAL EUROPEAN JOURNAL OF ECONOMIC MODELLING AND ECONOMETRICS, 2010, 2 (02): : 151 - 167
  • [34] Non-linear models for tourism demand forecasting
    Saayman, Andrea
    Botha, Ilse
    TOURISM ECONOMICS, 2017, 23 (03) : 594 - 613
  • [35] GENERALIZED NON-LINEAR ELASTIC INVERSION WITH CONSTRAINTS IN MODEL AND DATA SPACES
    CARRION, PM
    GEOPHYSICAL JOURNAL-OXFORD, 1989, 96 (01): : 151 - 162
  • [36] On fitting generalized linear and non-linear models of mortality
    Currie, Iain D.
    SCANDINAVIAN ACTUARIAL JOURNAL, 2016, (04) : 356 - 383
  • [37] Non-linear propagation of limited diffraction beams
    Synnevåg, JF
    Holm, S
    1998 IEEE ULTRASONICS SYMPOSIUM - PROCEEDINGS, VOLS 1 AND 2, 1998, : 1885 - 1888
  • [38] Linear and non-linear forecasting techniques for electricity and gas needs
    Bretschneider, Peter
    AUTOMATION 2009, 2009, 2067 : 45 - 49
  • [39] A non-linear multivariable regression model for midterm energy forecasting of power systems
    Tsekouras, G. J.
    Dialynas, E. N.
    Hatziargyriou, N. D.
    Kavatza, S.
    ELECTRIC POWER SYSTEMS RESEARCH, 2007, 77 (12) : 1560 - 1568
  • [40] Forecasting International Tourism Demand Using a Non-Linear Autoregressive Neural Network and Genetic Programming
    Alvarez-Diaz, Marcos
    Gonzalez-Gomez, Manuel
    Otero-Giraldez, Maria Soledad
    FORECASTING, 2019, 1 (01):