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A study over the Formulation of the Parameters 5 or Less Independent Variables of Multiple Linear Regression

机译:对多元线性回归的参数5或更少独立变量的制定的研究

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As is known, finding the parameters of multiple linear regression is an important case. Of course, these parameters can be easily found with the help of the computer. In this study, in addition to the formula of the parameters of linear regression, the general formulas of the parameters of 5 and less independent variables of multiple linear regression are given with a certain order. The derivations of the formulas presented are given step by step. In addition to classical matrix form, these new formulas for estimation of the parameters of multiple linear regression could be proposed especially to the researchers not using computer program for calculating the complex operations. By using these formulas, the researcher can estimate easily the parameters of multiple linear regression without using a computer and so the researcher can compose easily the table of variance analysis to interpret the regression made. Since for 6 and more independent variables, the tables of the parameters of multiple linear regression are too long and they take up too much space, the general formulas of the parameters of 6 and more independent variables of multiple linear regression could not be given in this study.
机译:众所周知,找到多个线性回归的参数是一个重要的情况。当然,可以在计算机的帮助下轻松找到这些参数。在本研究中,除了线性回归参数的公式之外,还以一定的顺序给出5个参数的参数的一般公式和较少的多个线性回归的变量。呈现的式的衍生逐步给出。除了经典矩阵形式之外,可以提出用于估计多元线性回归参数的新公式,特别是对于未使用计算机程序来计算复杂操作的研究人员。通过使用这些公式,研究人员可以容易地估计多个线性回归的参数而不使用计算机,因此研究人员可以轻松地构成方差分析表来解释所做的回归。由于对于6个更自动的变量,多元线性回归的参数表太长,并且它们占用过多的空间,因此不能给出6个参数的参数的一般公式,可以在此中给出6个和多元线性回归的更独立变量学习。

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