Results 141 to 150 of about 5,519 (170)

Characterization of the key nonvolatile metabolites in Cheddar cheese by partial least squares regression (PLSR), reconstitution, and omission

Food Chemistry, 2023
Cheddar cheese was desirable by consumers worldwide due to its characteristic taste and aroma, but limited information was available about taste contributors. Therefore, sensory profiles of natural Cheddar cheeses were investigated by quantitative descriptive analysis (QDA). Umami, salty, and brothy attributes were the principal differential attributes.
Fang Zhong, Md Nazmus Saqib, Yixun Xia
exaly   +3 more sources

Modeling Early Indicators of Grapevine Physiology Using Hyperspectral Imaging and Partial Least Squares Regression (PLSR)

IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium, 2020
In this contribution, we use field-based hyperspectral imaging (HSI) and partial least squares regression (PLSR) to estimate early indicators of grapevine physiological indicators, and analyze identified significant spectral regions for fast and accurate plant health monitoring.
Maitiniyazi Maimaitijiang, Nick Dokoozlian, Allison Miller   +2 more
exaly   +2 more sources

Mean squared error of prediction (MSEP) estimates for principal component regression (PCR) and partial least squares regression (PLSR)

Journal of Chemometrics, 2004
AbstractThis paper presents results from simulations based on real data, comparing several competing mean squared error of prediction (MSEP) estimators on principal component regression (PCR) and partial least squares regression (PLSR): leave‐one‐out cross‐validation, K‐fold and adjusted K‐fold cross‐validation, the ordinary bootstrap estimate, the ...
Bjørn‐Helge Mevik, Henrik René Cederkvist   +1 more
exaly   +2 more sources

Elastic Net Grouping Variable Selection Combined with Partial Least Squares Regression (EN-PLSR) for the Analysis of Strongly Multi-collinear Spectroscopic Data

Applied Spectroscopy, 2011
In this paper a novel wavelength region selection algorithm, called elastic net grouping variable selection combined with partial least squares regression (EN-PLSR), is proposed for multi-component spectral data analysis. The EN-PLSR algorithm can automatically select successive strongly correlated prediction variable groups related to the response ...
Guang-Hui Fu, Hongdong Li, Dongsheng Cao   +2 more
exaly   +3 more sources

Modified Jack-knife estimation of parameter uncertainty in bilinear modelling by partial least squares regression (PLSR)

Food Quality and Preference, 2000
Abstract A method for assessing the uncertainty of the individual bilinear model parameters from two-block regression modelling by multivariate partial least squares regression (PLSR) is presented. The method is based on the so-called “Jack-knife” resampling, comparing the perturbed model parameter estimates from cross-validation with the estimates ...
Harald Martens
exaly   +2 more sources

Comparison of three statistical methods for analysis of fall predictors in people with dementia: Negative binomial regression (NBR), regression tree (RT), and partial least squares regression (PLSR)

Archives of Gerontology and Geriatrics, 2009
Searching for background factors associated with falls in people with dementia is difficult because the population is heterogeneous. The aim of this study was to compare the efficacies of three statistical methods for analysis of fall predictors in people with dementia. NBR, RT and PLSR analyses were compared.
Yngve Gustafson, Anders Lundquist
exaly   +3 more sources

PEMODELAN PERSENTASE KANDUNGAN LEMAK TUBUH DENGAN PRINCIPAL COPONENT REGRESSION (PCR) DAN PARTIAL LEAST SQUARE REGRESSION (PLSR)

Sigma-Mu, 2021
Kandungan lemak tubuh, jika bisa diprediksi tinggi atau rendah, bisa dijadikan referensi untuk melihat tingkat kesehatan seseorang. Semakin tinggi kandungan lemak, semakin besar risiko berbagai penyakit. Penelitian ini akan mengusulkan pemodelan kandungan lemak sebagai respons yang bergantung pada tiga belas variabel prediktor yaitu: usia, berat ...
openaire   +1 more source

MODELING RICE PLANT NITROGEN EFFECT ON CANOPY REFLECTANCE WITH PARTIAL LEAST SQUARE REGRESSION (PLSR)

Transactions of the ASABE, 2006
In Arkansas and other major rice growing states in the U.S., nitrogen fertilizer is commonly applied in a split application. The split application consists of a pre-flood ground application and one or two mid-season applications. Currently there are no fast and accurate methods for estimating mid-season nitrogen requirements of a rice crop. The goal
openaire   +1 more source

Partial Least Squares Regression (PLSR) Applied to NIR and HSI Spectral Data Modeling to Predict Chemical Properties of Fish Muscle

Food Engineering Reviews, 2016
Partial least squares regression (PLSR) is a classical and widely used linear method for modeling of spectral data. Measurement of fish chemical properties has been playing an important role in providing superior quality products for human health and international trade.
Jun-Hu Cheng, Da-Wen Sun
openaire   +1 more source

Predicting iron ore sinter strength through partial least square regression (PLSR) analysis of X-ray diffraction patterns

Powder Diffraction, 2017
The decrease in quality of Australian iron ore, coupled with the demand for more efficient energy use, means that closer monitoring and optimisation of process conditions for iron ore sinter production is required. Here, the suitability of using partial least-squares regression analysis of powder X-ray diffraction data, collected ...
Nathan A.S. Webster, Mark I. Pownceby, Natalie Ware, Rachel Pattel   +3 more
openaire   +1 more source