Elements of Multiple Regression Analysis: Two Independent Variables. General Method of Multiple Regression Analysis: Matrix Operations. Statistical Control: Partial and Semi-Partial Correlation. Prediction. Part II: Multiple Regression Analysis. Variance Partitioning. Analysis of Effects. A Categorical ...
1)multiple regression analysis多元回归分析法 1.This paper studies the response of A-share market to the announcement on the related-party transactions, with the method of excess earnings and multiple regression analysis.运用超额收益法和多元回归分析法,研究了深市A股市场对重大关联销售事项的公告的反应。
Mokarram M 2016 Modeling of multiple regression and multiple linear regressions for prediction of groundwater quality (case study: north of Shiraz) Model. Earth Syst. Environ. 3 1-7Mokarram M, Modeling of Multiple Regression and Multiple Linear Regressions for Prediction of Groundwater Quality (...
prediction and classification studies. Many applications have been used in accounting and finance areas where accountants deal with large amounts of computerized operational and financial databases. Eighty-two percent of these studies are predictive studies based on recent survey (Amani, F. A. and A...
Each predictor value is weighed, the weights denoting their relative contribution to the overall prediction. (1)Y=a+b1X1+b2X3+…+bnXn Here Y is the dependent variable, and X1,…,Xn are the n independent variables. In calculating the weights, a, b1,…,bn, regression analysis ensures ...
This paper presents a prediction method about the moisture content based on the multiple regression and the radial basis function (RBF) neural network. Firstly, we measured the moisture content by experiments and compared the information in GPR data. Secondly, we use multiple regression analysis to...
Other time-based machine learning methods such as Inferelator6 and Dynamic Factor Graph10, which we used in our previous studies11,12 are based on regularized linear regression. We also compare OutPredict with a neural net-based method built to predict gene expression time series13. Another ...
Medical scientists have been using logistic regression analyses for their empirical research for quite some time. However, a majority of the previous accounting or finance-related empirical studies were based entirely on results from certain forms of multivariate regressions analysis. The reliability of ...
A model for multiple regression was developed which allows individual differences to emerge empirically. The model encompasses as special cases several of the previous attempts to improve psychological prediction by deviating from the usual linear multiple regression model. The model is tested with both ...
Pedhazur (1982)distinguishes between the use of regression for prediction and explanation. The former has to do with estimating the dependent variable given a value of the independent variable (i.e.,YigivenXi), whereas the latter focuses on the proportion of variance in the dependent variable th...