multivariate nonlinear regression Search Results


nonlinear multivariate ordinal regression models  (SAS institute)
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SAS institute nonlinear multivariate ordinal regression models
Nonlinear Multivariate Ordinal Regression Models, supplied by SAS institute, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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nonlinear least-squares multivariate regression sigmaplot version 12.3  (SYSTAT)
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SYSTAT nonlinear least-squares multivariate regression sigmaplot version 12.3
Nonlinear Least Squares Multivariate Regression Sigmaplot Version 12.3, supplied by SYSTAT, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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multivariate nonlinear regression  (Sequenom)
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Sequenom multivariate nonlinear regression
( a ) <t>Multivariate</t> linear regression model. ( b ) Multivariate nonlinear regression model. ( c ) Back propagation neural network model. (d) Support vector regression model. Using 11 CpG sites selected from Sequenom MassARRAY results in 49 females, the mean absolute deviation for each method was 6.4, 4.1, 3.9, and 2 years, respectively.
Multivariate Nonlinear Regression, supplied by Sequenom, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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multivariate nonlinear regression  (GraphPad Software Inc)
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GraphPad Software Inc multivariate nonlinear regression
( a ) <t>Multivariate</t> linear regression model. ( b ) Multivariate nonlinear regression model. ( c ) Back propagation neural network model. (d) Support vector regression model. Using 11 CpG sites selected from Sequenom MassARRAY results in 49 females, the mean absolute deviation for each method was 6.4, 4.1, 3.9, and 2 years, respectively.
Multivariate Nonlinear Regression, supplied by GraphPad Software Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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multivariate nonlinear regression program  (NETZSCH)
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NETZSCH multivariate nonlinear regression program
( a ) <t>Multivariate</t> linear regression model. ( b ) Multivariate nonlinear regression model. ( c ) Back propagation neural network model. (d) Support vector regression model. Using 11 CpG sites selected from Sequenom MassARRAY results in 49 females, the mean absolute deviation for each method was 6.4, 4.1, 3.9, and 2 years, respectively.
Multivariate Nonlinear Regression Program, supplied by NETZSCH, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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thermokinetics 3 multivariate nonlinear regression analysis program  (NETZSCH)
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NETZSCH thermokinetics 3 multivariate nonlinear regression analysis program
( a ) <t>Multivariate</t> linear regression model. ( b ) Multivariate nonlinear regression model. ( c ) Back propagation neural network model. (d) Support vector regression model. Using 11 CpG sites selected from Sequenom MassARRAY results in 49 females, the mean absolute deviation for each method was 6.4, 4.1, 3.9, and 2 years, respectively.
Thermokinetics 3 Multivariate Nonlinear Regression Analysis Program, supplied by NETZSCH, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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nonlinear least squares regression by the multivariate secant method and the nlin procedure of sas/stat software  (SAS institute)
90
SAS institute nonlinear least squares regression by the multivariate secant method and the nlin procedure of sas/stat software
( a ) <t>Multivariate</t> linear regression model. ( b ) Multivariate nonlinear regression model. ( c ) Back propagation neural network model. (d) Support vector regression model. Using 11 CpG sites selected from Sequenom MassARRAY results in 49 females, the mean absolute deviation for each method was 6.4, 4.1, 3.9, and 2 years, respectively.
Nonlinear Least Squares Regression By The Multivariate Secant Method And The Nlin Procedure Of Sas/Stat Software, supplied by SAS institute, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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nonlinear least squares regression by the multivariate secant method and the nlin procedure of sas/stat software - by Bioz Stars, 2026-04
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nonlinear regression multivariate estimator  (SAS institute)
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SAS institute nonlinear regression multivariate estimator
( a ) <t>Multivariate</t> linear regression model. ( b ) Multivariate nonlinear regression model. ( c ) Back propagation neural network model. (d) Support vector regression model. Using 11 CpG sites selected from Sequenom MassARRAY results in 49 females, the mean absolute deviation for each method was 6.4, 4.1, 3.9, and 2 years, respectively.
Nonlinear Regression Multivariate Estimator, supplied by SAS institute, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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dsc using isoconversional methods and multivariate nonlinear regression method  (NETZSCH)
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NETZSCH dsc using isoconversional methods and multivariate nonlinear regression method
( a ) <t>Multivariate</t> linear regression model. ( b ) Multivariate nonlinear regression model. ( c ) Back propagation neural network model. (d) Support vector regression model. Using 11 CpG sites selected from Sequenom MassARRAY results in 49 females, the mean absolute deviation for each method was 6.4, 4.1, 3.9, and 2 years, respectively.
Dsc Using Isoconversional Methods And Multivariate Nonlinear Regression Method, supplied by NETZSCH, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Image Search Results


( a ) Multivariate linear regression model. ( b ) Multivariate nonlinear regression model. ( c ) Back propagation neural network model. (d) Support vector regression model. Using 11 CpG sites selected from Sequenom MassARRAY results in 49 females, the mean absolute deviation for each method was 6.4, 4.1, 3.9, and 2 years, respectively.

Journal: Scientific Reports

Article Title: A novel strategy for forensic age prediction by DNA methylation and support vector regression model

doi: 10.1038/srep17788

Figure Lengend Snippet: ( a ) Multivariate linear regression model. ( b ) Multivariate nonlinear regression model. ( c ) Back propagation neural network model. (d) Support vector regression model. Using 11 CpG sites selected from Sequenom MassARRAY results in 49 females, the mean absolute deviation for each method was 6.4, 4.1, 3.9, and 2 years, respectively.

Article Snippet: To build a robust predictor, we used four different models, viz., multivariate linear regression, multivariate nonlinear regression, back propagation (BP) neural network, and SVR, to test the accuracy of 11 CpG sites selected from the Sequenom dataset in age prediction ( ).

Techniques: Plasmid Preparation

( a ) The minimal MAD of predicted age as a function of the number of sites that compose the independent variables. The 11 CpG sites selected from the Sequenom MassARRAY dataset were combined to one to 11 independent variables. SVR model fit on all but one sample, and the minimal MAD of the predicted age was observed for a given number of independent variables. ( b ) Predicted versus observed age of all 49 subjects, using SVR model by six markers. MAD of 2.8 years was observed, which is slightly higher than that obtained by 11 markers. ( c ) Predicted versus observed age using multivariate linear regression by three DNA methylation markers obtained from a recent study . The original BeadChip data of these three sites were extracted to predict age by using a multivariate linear regression model, and an MAD of 6.27 years was obtained. ( d ) Predicted versus observed age using SVR by three DNA methylation markers obtained from a recent study . MAD of 4.23 years was obtained, which is better than the MAD obtained when using a multivariate linear regression (panel C), and better than the MAD obtained when using a multivariate linear regression based on pyrosequencing data in the published study (5.4 years) .

Journal: Scientific Reports

Article Title: A novel strategy for forensic age prediction by DNA methylation and support vector regression model

doi: 10.1038/srep17788

Figure Lengend Snippet: ( a ) The minimal MAD of predicted age as a function of the number of sites that compose the independent variables. The 11 CpG sites selected from the Sequenom MassARRAY dataset were combined to one to 11 independent variables. SVR model fit on all but one sample, and the minimal MAD of the predicted age was observed for a given number of independent variables. ( b ) Predicted versus observed age of all 49 subjects, using SVR model by six markers. MAD of 2.8 years was observed, which is slightly higher than that obtained by 11 markers. ( c ) Predicted versus observed age using multivariate linear regression by three DNA methylation markers obtained from a recent study . The original BeadChip data of these three sites were extracted to predict age by using a multivariate linear regression model, and an MAD of 6.27 years was obtained. ( d ) Predicted versus observed age using SVR by three DNA methylation markers obtained from a recent study . MAD of 4.23 years was obtained, which is better than the MAD obtained when using a multivariate linear regression (panel C), and better than the MAD obtained when using a multivariate linear regression based on pyrosequencing data in the published study (5.4 years) .

Article Snippet: To build a robust predictor, we used four different models, viz., multivariate linear regression, multivariate nonlinear regression, back propagation (BP) neural network, and SVR, to test the accuracy of 11 CpG sites selected from the Sequenom dataset in age prediction ( ).

Techniques: DNA Methylation Assay