Statistics Assignment代写:因素分析
Keywords:Statistics Assignment代写
然而,因素分析杜邦分析不能在这个领域是可行的。因子分析主要用于确定每个因素的影响方向和程度的总变化在某种经济现象受到许多因素影响(巴塞洛缪;斯蒂尔,等,2008)。因子分析是指数法的应用和发展原则。它是基于指数法原则。分析事物的变化受到很多因素的影响,为了观察一些因素变化的影响,会使其他因素固定,然后逐项分析和替换,所以这种方法也被称为顺序替换法(哈曼,1976)。基于比较分析,因子分析是常用的发现过程的差异比较和慈父般的探索原因(拉森,沃恩,2010)。使用因子分析方法,第一步是研究对象的形成过程,找出各种因素的分析对象;然后比较因素与相应标准逐项确定每个因素的影响程度的差异,帮助找到主要矛盾和指示的主要方向,为下一步解决问题。例如,经济价值和相关因素之间的关系可以表示为:实际价值:P1 = A1xB2xC1;标准价值:P2 = A2xB2xC2。实际值和标准之间的总体方差值P1-P2,受到三个因素的影响,即A,B和C,可以计算每个因素的影响程度为:影响因素:(a1 a2)xB2xC2;影响因子B:A1x(b1 b2)xC2;影响因子C:A1xB1x(c1)。加上上面的影响值,它是总体方差:P1-P2。从上面的分析,可以看出,因子分析可用于程度的影响的详细分析,可以更有利于引导决策者发现财务问题,并提出解决方案。 总之,杜邦分析和因子分析都有自己的适用范围。通过杜邦分析系统可以提供更好的财务指标变化的原因和趋势,因子分析是更好的在企业的财务分析。因子分析可以用于更详细的分析影响的程度,可以更有利于引导决策者发现财务问题,最终从根本上并提出解决方案。总之,因子分析方法具有更广泛的应用范围。
Statistics Assignment代写:因素分析
However, factor analysis is feasible in the field that DuPont analysis cannot. Factor analysis is mainly used for determining the influence direction and degree of every factor in the total change in some kind of economic phenomenon affected by many factors (Bartholomew; Steele, et al, 2008). Factor analysis is the application and development of index method principle. It’s based on the index method principle. In the analysis of things change influenced by many factors, in order to observe the effects of some factors change, it will make other factors be fixed, and then analyze and replace item by item, so this method is also known as sequential substitution method (Harman, 1976). Based on comparative analysis, factor analysis is frequently used to find differences in the process of comparing and fatherly explore the cause (Larsen; Warne, 2010). Using factor analysis method, the first step is to study the formation process of the object and find various factors of analysis object; then to compare factors with the corresponding criterion item by item to determine the influence degree of differences of every factors, to help find the main contradiction and indicate the main direction of solving the problem for the next step. For instance, the relationship of a financial value and related factors can be represented as: Actual value: P1= A1xB2xC1; Standard value: P2=A2xB2xC2. The overall variance between the actual value and standard value is P1-P2, and it’s affected by three factors, namely A, B and C. The degree of influence of every factor can be calculated as: Influence of factor A: (A1-A2) xB2xC2; Influence of factor B: A1x (B1-B2) xC2; Influence of factor C: A1xB1x (C1-C2). Plus the above influence value, it is the overall variance: P1-P2. From the above analysis, it can be seen that factor analysis can be used for the detailed analysis of the degree of influence and can be more beneficial to guide the decision makers to find financial issues and propose solutions.
In conclusion, DuPont analysis and factor analysis have their own range of application. Through DuPont analysis system can provide better reasons and trends of financial index changes, factor analysis is better in enterprises’ financial analysis. Factor analysis can be used for more detailed analysis of the degree of influence and can be more beneficial to guide the decision makers to find financial issues ultimately and propose solutions fundamentally. In sum, factor analysis method has more extensive scope of application.
