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Analysis of Neutrosophic Multiple Regression [PDF]

open access: yesNeutrosophic Sets and Systems, 2021
The idea of Neutrosophic statistics is utilized for the analysis of the uncertainty observation data. Neutrosophic multiple regression is one of a vital roles in the analysis of the impact between the dependent and independent variables. The Neutrosophic
D. Nagarajan   +3 more
doaj   +3 more sources

Linear regression analysis study

open access: yesJournal of the Practice of Cardiovascular Sciences, 2018
Linear regression is a statistical procedure for calculating the value of a dependent variable from an independent variable. Linear regression measures the association between two variables.
Khushbu Kumari, Suniti Yadav
doaj   +2 more sources

Regression Analysis [PDF]

open access: bronzeThe Computer Journal, 1962
L. J. Slater
openalex   +2 more sources

Multiple Regression Analysis

open access: yesAdvanced Statistics for Testing Assumed Casual Relationships, 1998
So far we have considered only one regressor X besides the constant in the regression equation. Economic relationships usually include more than one regressor. For example, a demand equation for a product will usually include real price of that product in addition to real income as well as real price of a competitive product and the advertising ...
B. Baltagi
openaire   +3 more sources

A Note on Regression Analysis [PDF]

open access: bronzeThe Annals of Mathematical Statistics, 1947
Abraham Wald
openalex   +4 more sources

Stepwise cox regression analysis in SPSS

open access: yesCancer Research, Statistics, and Treatment, 2018
This article is a beginners' guide for performing Cox regression analysis in SPSS. The article provides practical steps toward performing Cox analysis and interpreting the output of SPSS for Cox regression analysis.
Sampada Dessai, Vijai Simha, Vijay Patil
doaj   +2 more sources

The coefficient of determination R-squared is more informative than SMAPE, MAE, MAPE, MSE and RMSE in regression analysis evaluation

open access: yesPeerJ Computer Science, 2021
Regression analysis makes up a large part of supervised machine learning, and consists of the prediction of a continuous independent target from a set of other predictor variables.
D. Chicco, M. Warrens, Giuseppe Jurman
semanticscholar   +1 more source

AGORA: Avatars in Geography Optimized for Regression Analysis [PDF]

open access: yesComputer Vision and Pattern Recognition, 2021
While the accuracy of 3D human pose estimation from images has steadily improved on benchmark datasets, the best methods still fail in many real-world scenarios.
Priyanka Patel   +5 more
semanticscholar   +1 more source

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