On the Problems and Countermeasures in the Development of Corporate Statistical Management

<p>Under the guidance of market economy, Chinese enterprises have developed vigorously in recent years. Based on this, the amount of data in daily operation and management of enterprises has been continuously increased. Corporate managers have paid more attention to enterprise statistics to fully understand the development of enterprises, thus effectively promoting the effective exploration and optimization of corporate statistics. However, a large number of practices have indicated that there are some deficiencies in the statistical management of enterprises in China, which in turn limits the optimization of the statistical work of enterprises. Hence, in order to further meet the needs of corporate statistical work, relevant staff should actively reflect on statistical work and formulate corresponding optimization strategies. This article analyzes the current situation of statistical management in Chinese enterprises, and puts forward corresponding optimization countermeasures, aiming at further promoting the quality of statistical work.</p>

Shortcomings and Improvement Suggestions of China’s Statistical Management System under the New Situation

<p>According to some researches, in the daily management work, statistical management work, as one of the important basic tasks, is conducive to helping relevant departments to effectively understand and grasp the real level of people’s daily life, and has important guiding significance for the development and implementation of related work. In recent years, driven by economic development, great changes have taken place in informatization level and interest pattern. Based on this, the investigation objects and data information involved in statistical work are becoming increasingly complex, which leads to a substantial increase in the difficulty of statistical work in China, and then puts forward higher demands for the professional ability of statistical departments. In this article, the statistical management system in China under the new situation is taken as the breakthrough point, and the shortcomings in the statistical management system are deeply explored and analyzed. At the same time, the corresponding improvement suggestions are put forward, aiming at further improving and perfecting the statistical management system, to lay a solid foundation and guarantee for the further development and prosperity of China’s economic and cultural work.</p>

Analysis on the Current Situation and Optimization Strategy of Statistics Teaching in China

<p>As one of the important teaching subjects, the development and implementation of statistics teaching is conducive to the further realization of the training and construction of China’s statistical talents, and has an important role in promoting China’s social development and economic prosperity. Based on this, people from all walks of life have recently paid more and more attention to the training of statistics talents, thus effectively promoting the development and implementation of statistics teaching reform in China. In this article, the development of statistics teaching in colleges and universities in China is deeply explored and analyzed. During this process, the main shortcomings in statistics teaching in China are explored in detail, and corresponding optimization strategies are formulated, aiming at further improving and optimizing the quality of statistics teaching.</p>

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

<p>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.</p>

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

<p>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.</p>

An Analysis of China's Money Supply and Its Changes in 2008-2010

China divides the money supply into three levels: cash in circulation M0, cash that fl ows outside the banking system; the second is the narrow money supply M1, that is, M0 plus the deposit of enterprises and institutions; Money supply M2, that is, M1 plus enterprises and institutions of time deposits, household savings deposits and other deposits. In September 2008, China's monetary policy moderates easing in response to the serious impact of the international fi nancial crisis. At the beginning of 2009, the State Council put forward an annual growth of about 17% M2, more than 5 trillion yuan of new loans, relative to the expected 8% GDP growth rate and 4% of the CPI index is still a moderately easy monetary policy. China's monetary policy this shift is correct, strong with the government's active fi scal policy, the role of economic stabilization and recovery is more obvious.