An analysis of Chinese Super League partial results

DOI10.1007/s11425-009-0065-zzbMath1176.62123OpenAlexW1979541963WikidataQ125751102 ScholiaQ125751102MaRDI QIDQ1042952

David R. Brillinger

Publication date: 7 December 2009

Published in: Science in China. Series A (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s11425-009-0065-z

zbMATH Keywords

simulationforecastingordinal datasoccerworld football

Mathematics Subject Classification ID

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Regression models for nonstationary categorical time series: Asymptotic estimation theory
• Modelling game outcomes of the Brazilian 2006 Series A Championship as ordinal-valued
• Markov Regression Models for Time Series: A Quasi-Likelihood Approach
• Bayesian modelling of football outcomes: using the Skellam's distribution for the goal difference
• Dynamic Stochastic Models for Time-Dependent Ordered Paired Comparison Systems
• REGRESSION MODELS FOR NON‐STATIONARY CATEGORICAL TIME SERIES
• The new FIFA rules are hard: Complexity aspects of sports competitions.

This page was built for publication: An analysis of Chinese Super League partial results