Vol. 3 No. 1 (2020)

Full Issue

  • Open Access

    Original Research Articles

    Article ID: 332

    Analysis and Prediction of Soccer Games: An Application to the Kaggle European Soccer Database

    by Wuhuan Deng, Eric Zhong

    Insight - Statistics, Vol.3, No.1, 2020; 707 Views, 48 PDF Downloads

    DOI: https://doi.org/10.18282/i-s.v3i1.332

    The study of soccer game data has many applications for both fans and teams. The effective analytical work can not only help the teams to improve their offensive and defensive skills and strategies, but also could assist the fans to make a bet. In this work, the authors study the European League Dataset with statistical methods to analyze the game data. Moreover, machine learning techniques are designed to predict the game results based on in-game performance and pre-game odds provided by bookmakers. With rational feature engineering and model selection, our model results in an overall 95% accuracy.

  • Open Access

    Original Research Articles

    Article ID: 353

    The Forecast of Housing Price in Xi’an Based on Big Data Analysis

    by Zhiyuan Guo

    Insight - Statistics, Vol.3, No.1, 2020; 374 Views, 31 PDF Downloads

    DOI: https://doi.org/10.18282/i-s.v3i1.353

    Based on the statistical data, the forecast for housing price of Xi’an city is made by identifying 13 different kinds of indicators. The multi-variable regression model and SPSS are used to analyze the data in linear and non-linear way respectively. R2 for both methods are over than 0.9. So we can get the similar conclusion that housing price in Xi’an will not increase dramatically recently and keep stable.