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Search Results: 1 - 10 of 51937 matches for " 崔栋利 "
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 Statistics and Applications (SA) , 2016, DOI: 10.12677/SA.2016.54034 Abstract: 本文选取了16个主要财务指标来研究23家上市企业的财政状况，对其发行的股票进行评价与预报。由于各个财务指标之间存在一定的相关性，容易造成信息的重复，因此我们采用因子分析方法提取合适的公共因子，以便对企业的财政状况进行解释。结果表明，因子分析方法可以将股票预报问题简单化，能够对企业的股票和财政状况有一个清晰的认识，进而使企业的股票和财政状况的分析更加便捷。 This paper selects 16 major financial indicators to study the financial situation of 23 listed companies, the evaluation and forecast of the stocks issued by the listed companies. Since there is a certain correlation between the various financial indicators, it is easy to cause information duplication, so we use the factor analysis method to extract the appropriate public factors in order to explain the financial situation of enterprises. The results show that the factor analysis method can simplify the stock forecast problem, and it can make a clear understanding of the stock and financial status of the enterprise, and then makes the analysis of the stock and financial situation more convenient.
 Statistics and Applications (SA) , 2015, DOI: 10.12677/SA.2015.44035 Abstract: 为降低数据维数，简化数据运算，我们采用因子分析和判别分析相结合的方法，运用方差累计贡献率在85%以上的前k个主成分代替原始砂基液化的有关因素，对砂基液化因素进行分析，这种方法并没有缩减样本量，只是对原始数据进行了浓缩和综合，通过对得到的因子得分数据进行判别分析，可得到一组判别结果。另外，利用因子分析的提取方法得到变量的共同度，变量共同度高的表示变量中的大部分信息均能够被因子所提取，选出变量共同度较高的对应的变量，利用这些变量再次进行判别分析，对两次判别分析得到的结果与原结果进行汇总对比，分析误判率。结果表明，这两种方法的结合在一定程度上用于筛选砂基液化的主要因素以及预测砂基液化可行性强，效果较好。 In order to reduce data dimension, simplify data operation, we adopted the method combining the factor analysis and discriminant analysis, and applied the cumulative variance contribution rate of k in front of more than 85% of the principal components instead of the original related factors of sand liquefaction to analyze, this method didn’t reduce sample size, just made the raw data enrich- ment and comprehensive, did the discriminant analysis based on the factor score data, a set of discriminant results can be obtained. In addition, the extraction methods of principle component analysis were used to get the variable joint degrees, high variable joint degrees indicated the most information can be extracted by factor, then found the corresponding variable, did the discriminant analysis using these variables again, the two discriminant analysis results were compared with the original results and analyzed the misjudgment rate. Results show that the combination of the two methods has strong feasibility in filtering the main factors of sandlique faction and the prediction of sand liquefaction to some extent, and the effect is better.
 Statistics and Applications (SA) , 2015, DOI: 10.12677/SA.2015.44032 Abstract: 寿命分布问题是统计学中一类重要问题，寿命分布的参数模型具有理论成熟、计算简单、在实践中操作性强等优点。因此，我们定义了在元件寿命服从双参数混合指数分布、元件个数服从泊松分布的情况下的一种新的系统寿命分布——混合指数泊松分布，作为统计模型，研究了该分布的各种性质，且给出了在定数和定时截尾数据下参数的极大似然估计。 Lifetime distribution is a class of important matters in statistics, the parameter model of the life-time distribution has the advantages of the mature theory, the simple calculation and the strong operation in practice. Therefore, we define a new lifetime distribution of system—the mixture exponential Poisson distribution based on the condition of the lifetime of the components and the number of the components subject to double parameters mixture exponential distribution and Poisson distribution, respectively. As a statistical model, we studied the various properties of the distribution, and discussed the maximum likelihood estimation of parameters under the condition of censored data of fixed number and time in this paper.