Results 11 to 20 of about 5,519 (170)

Analysis of genetic marker-phenotype relationships by jack-knifed partial least squares regression (PLSR). [PDF]

Hereditas, 2005
The utility of a relatively new multivariate method, bi-linear modelling by cross-validated partial least squares regression (PLSR), was investigated in the analysis of QTL. The distinguishing feature of PLSR is to reveal reliable covariance structures in data of different types with regard to the same set objects. Two matrices X (here: genetic markers)
Asmund, Bjørnstad, Frank, Westad, Harald, Martens   +2 more
openaire   +2 more sources

Electrospun nanofiber membrane diameter prediction using a combined response surface methodology and machine learning approach

Scientific Reports, 2023
Despite the widespread interest in electrospinning technology, very few simulation studies have been conducted. Thus, the current research produced a system for providing a sustainable and effective electrospinning process by combining the design of ...
Md. Nahid Pervez, Wan Sieng Yeo, Mst. Monira Rahman Mishu, Md. Eman Talukder, Hridoy Roy, Md. Shahinoor Islam, Yaping Zhao, Yingjie Cai, George K. Stylios, Vincenzo Naddeo   +9 more
doaj   +1 more source

Noise Handling Capabilities of Multivariate Calibration Methods [PDF]

Modeling, Identification and Control, 2002
The noise handling capabilities of principal component regression (PCR) and partial least squares regression (PLSR) are somewhat disputed issues, especially regarding regressor noise.
Rolf Ergon
doaj   +1 more source

Comparison Between Partial Least Square Regression (PLSR) and Tree Regression by Using Simulation (Rt)

Journal of Economics and Administrative Sciences, 2020
This research discussed, the process of comparison between the regression model of partial least squares and tree regression, where these models included two types of statistical methods represented by the first type "parameter statistics" of the partial least squares, which is adopted when the number of variables is greater than the number of ...
Asmaa Najim Abdullah, Baraa Khudhair Abbas   +1 more
openaire   +1 more source

Determination of florfenicol by Raman spectroscopy with principal component analysis (PCA) and partial least squares regression (PLSR)

Analytical Letters, 2023
Raman spectroscopy is an important analytical technique because of its use for the quantification of different antibiotics used for the treatment of different diseases. Florfenicol is considered a broad-spectrum antibiotic drug that is used for bacterial infection and livestock species, including porcine, bovine, and chicken.
Zain Ali, Haq Nawaz, Muhammad Irfan Majeed, Nosheen Rashid, Mashkoor Mohsin, Ali Raza, Muhammad Shakeel, Muhammad Zeeshan Ali, Amina Sabir, Muhammad Shahbaz, Usama Ehsan, Hafiz Mahmood ul Hasan   +11 more
openaire   +1 more source

Rapid Determination of Geniposide and Baicalin in Lanqin Oral Solution by Near-Infrared Spectroscopy with Chemometric Algorithms during Alcohol Precipitation

Molecules, 2022
The selection of key variables is an important step that improves the prediction performance of a near-infrared (NIR) real-time monitoring system.
Hui Ma, Ming Chen, Siyu Zhang, Hongye Pan, Yong Chen, Yongjiang Wu   +5 more
doaj   +1 more source

Hierarchical Cluster-based Partial Least Squares Regression (HC-PLSR) is an efficient tool for metamodelling of nonlinear dynamic models [PDF]

BMC Systems Biology, 2011
Deterministic dynamic models of complex biological systems contain a large number of parameters and state variables, related through nonlinear differential equations with various types of feedback. A metamodel of such a dynamic model is a statistical approximation model that maps variation in parameters and initial conditions (inputs) to variation in ...
Kristin Tøndel, Ulf G. Indahl, Arne B. Gjuvsland, Jon Olav Vik, Peter J. Hunter, Stig W. Omholt, Harald Martens   +6 more
openaire   +2 more sources

Dynamic system multivariate calibration by system identification methods [PDF]

Modeling, Identification and Control, 1998
In the first part of the paper, the optimal estimator for normally nonmeasured primary outputs from a linear and time invariant dynamic system is developed.
Rolf Ergon
doaj   +1 more source

A New Robust Partial Least Squares Regression Method Based on a Robust and an Efficient Adaptive Reweighted Estimator of Covariance

Revstat Statistical Journal, 2019
Partial Least Squares Regression (PLSR) is a linear regression technique developed as an incomplete or “partial” version of the least squares estimator of regression, applicable when high or perfect multicollinearity is present in the predictor ...
Esra Polat , Suleyman Gunay
doaj   +1 more source

Quantification and Detection of Ground Garlic Adulteration Using Fourier-Transform Near-Infrared Reflectance Spectra

Foods, 2023
This study demonstrates the rapid and cost-effective possibility of quantifying adulterant amounts (corn flour or corn starch) in ground and dried garlic samples.
Michal Daszykowski, Michal Kula, Ivana Stanimirova   +2 more
doaj   +1 more source