Results 261 to 270 of about 7,030,691 (326)

Regression Coefficient

The SAGE Encyclopedia of Research Design, 2022
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On regressing regression coefficients

Journal of Statistical Planning and Inference, 1982
This paper considers a regression model in which coefficients obtained from a previous regression are themselves the object of analysis. It is shown that the parameters of interest can be obtained in two ways: pooling across observations and subsamples, or a two-stage process of first estimating the coefficients within each subsample, and then using ...
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The Semistandardized Regression Coefficient

Multivariate Behavioral Research, 1977
The semistandardized regression coefficient is presented for combining unstandardized and standardized variables into a single regression equation. Equations, interpretations, and an example are given for applying the coefficients to multivariate data.
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Estimation of Partial Regression Coefficient

Biometrical Journal, 1993
AbstractA sampling scheme providing unbiased partial regression coefficient has been proposed. The proposed sampling scheme is not only unbiased but also superior to simple random sampling and that due to Singh and Bathla (1990) for estimation of partial regression coefficient.
Singh, Padam, Talwar, Harsh Kumari
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Logistic Regression Model Optimization and Case Analysis

International Conference on Computer Science and Network Technology, 2019
Traditional logistic regression analysis is widely used in the binary classification problem, but it has many iterations and it takes a long time to train large amounts of data, which is not applicable.
Xiaonan Zou, Yong Hu, Zhewen Tian, Kai-yuan Shen   +3 more
semanticscholar   +1 more source

Understanding Correlation Coefficients and Regression

Physical Therapy, 1986
When a clinician says, “Your range of motion will improve when your postoperative pain decreases,” the clinician is stating that postoperative pain and ROM improvement are strongly correlated . Correlation is simply the statistical expression of the relationship between variables. Physical therapy researchers use correlations to indicate the magnitude
R G, Malgady, D B, Krebs
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Spatial Homogeneity Pursuit of Regression Coefficients for Large Datasets

Journal of the American Statistical Association, 2019
Spatial regression models have been widely used to describe the relationship between a response variable and some explanatory variables over a region of interest, taking into account the spatial dependence of the observations.
Furong Li, H. Sang
semanticscholar   +1 more source

Testing Regression Coefficients

2019
This chapter continues the discussion of regression analysis engaged in Chaps. 3 and 4. We have seen that the regression coefficients are reported with extra information, which we have not discussed yet. How can we use this information? In particular, we explain here how to use the confidence limits and the p-values to decide about statistical ...
Miguel Ángel Canela, Inés Alegre, Alberto Ibarra   +2 more
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Coefficient of Determination

Making Sense of Statistics, 2018
As with simple regression, in the multiple linear regression model, we can interpret ! SYY " RSS SYY as the fraction of the variability in Y explained by including the terms u 1 , u 2 , … , u k-1 in the mean function (as compared to the constant mean ...
F. Pyrczak, Deborah M. Oh
semanticscholar   +1 more source

Using support vector regression and K-nearest neighbors for short-term traffic flow prediction based on maximal information coefficient

Information Sciences, 2022
Guancen Lin, Aijing Lin, Danlei Gu
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