Results 21 to 30 of about 284,636 (114)
Clinical Ophthalmology, 2020 Frank A Bucci Jr Bucci Laser Vision, Institute Wilkes-Barre, Wilkes-Barre, PA, USACorrespondence: Frank A Bucci JrBucci Laser Vision Institute, 158 Wilkes-Barre Township Blvd., Wilkes-Barre, PA 18702, USAEmail buccivision@aol.comPurpose: To detect and ...
Bucci FA Jr
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A Simple Introduction to Regression Modeling using R
Computational Journal of Mathematical and Statistical Sciences, 2023 In statistical modeling, regression analysis is a group of statistical processes used in R programming and statistics to determine the relationship between dataset variables.
Amr R Kamel , Mohamed Reda Abonazel
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Fuzzy Regression Analysis with an Application [PDF]
المجلة العراقية للعلوم الاحصائية, 2006 This work investigates the analysis of fuzzy regression in case of the data being fuzzy or non-fuzzy. The analysis is performed by several methods , such as fuzzy linear regression (FLR) and modified one, and fuzzy linear regression with least squares (
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Frontiers in Environmental Science, 2023 The Chinese urbanization process is undergoing rapid development and intensification. There is, however, little awareness of spatial development in rural areas, particularly in watersheds that are relatively backward. Consequently, human settlements have
Bo Liao +4 more
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Littera Scripta, 2016 There are many discussions and arguments about accuracy of the results of statistic regression analysis and neural network regression analysis among experts. Of course all of them look for the best method usable in practice.
Marek Vochozka
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Regression analysis on different mitogenic pathways [PDF]
Network Biology, 2016 In this paper different regression analysis methods were discussed on three different mitogenic pathways i.e. ERK, MK2 and JNK. Coefficient of determination, ANOVA, T-value, Durban-Watson statistics were calculated for the corresponding three proteins ...
Shruti Jain
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Approximation Analysis of Learning Algorithms for Support Vector Regression and Quantile Regression
Journal of Applied Mathematics, 2012 We study learning algorithms generated by regularization schemes in reproducing kernel Hilbert spaces associated with an ϵ-insensitive pinball loss. This loss function is motivated by the ϵ-insensitive loss for support vector regression and the pinball ...
Dao-Hong Xiang, Ting Hu, Ding-Xuan Zhou
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Journal of Dairy Science, 2023 : Many studies over the last 30 years have shown the effects of farming practices on milk compounds. Combinations of practices may have antagonistic or synergistic effects on milk compounds, but these combination effects remain underinvestigated ...
L. Rey-Cadilhac +4 more
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Regression Analysis With Differential Privacy Preserving
IEEE Access, 2019 In the field of data mining, protecting sensitive data from being leaked is part of the focuses of current research. As a strict and provable definition of privacy model, differential privacy provides an excellent solution to the problem of privacy ...
Xianjin Fang +3 more
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Methodology, 2022 Two of the most important extensions of the basic regression model are moderated effects (due to interactions) and mediated effects (i.e. indirect effects). Combinations of these effects may also be present.
Geert H. van Kollenburg, Marcel A. Croon
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