Results 11 to 20 of about 190,765 (284)

A Nonlinear Land Use Regression Approach for Modelling NO₂ Concentrations in Urban Areas—Using Data from Low-Cost Sensors and Diffusion Tubes

Atmosphere, 2020
Land Use Regression (LUR) based on multiple linear regression model is one of the techniques used most frequently for modelling the spatial variability of air pollution and assessing exposure in urban areas.
Said Munir, Martin Mayfield, Daniel Coca, Lyudmila S Mihaylova   +3 more
doaj   +1 more source

The Usefulness of Variables (Dimension) Reduction Methods in Stock Returns of the Companies Listed on Tehran Stock Exchange [PDF]

مطالعات تجربی حسابداری مالی, 2019
The Purpose of this research is investigating the usefulness of variables (dimension) reduction methods (selection and extraction) in stock returns of the companies listed on Tehran Stock Exchange (TSE).
Mohammad Hossein Setayesh, Mostafa Kazemnezhad   +1 more
doaj   +1 more source

Nonlinear Tactile Estimation Model Based on Perceptibility of Mechanoreceptors Improves Quantitative Tactile Sensing

Sensors, 2022
Tactile sensing has attracted significant attention as a tactile quantitative evaluation method because the tactile sensation is an important factor while evaluating consumer products.
Momoko Sagara, Lisako Nobuyama, Kenjiro Takemura   +2 more
doaj   +1 more source

Discussion of Cuffless Blood Pressure Prediction Using Plethysmograph Based on a Longitudinal Experiment: Is the Individual Model Necessary?

Life, 2021
Using the Plethysmograph (PPG) signal to estimate blood pressure (BP) is attractive given the convenience and possibility of continuous measurement. However, due to the personal differences and the insufficiency of data, the dilemma between the accuracy ...
Koshiro Kido, Zheng Chen, Ming Huang, Toshiyo Tamura, Wei Chen, Naoaki Ono, Masachika Takeuchi, Md. Altaf-Ul-Amin, Shigehiko Kanaya   +8 more
doaj   +1 more source

An Improved Power Law for Nonlinear Least-Squares Fitting?

Data, 2017
Models based on a power law are prevalent in many areas of study. When regression analysis is performed on data sets modeled by a power law, the traditional model uses a lead coefficient.
Benjamin Helyer, Michael Courtney
doaj   +1 more source

Incrementally Solving Nonlinear Regression Tasks Using IBHM Algorithm

Journal of Telecommunications and Information Technology, 2023
This paper considers the black-box approximation problem where the goal is to create a regression model using only empirical data without incorporating knowledge about the character of nonlinearity of the approximated function.
Paweł Zawistowski, Jarosław Arabas
doaj   +1 more source

Determination of the critical period of weed control in corn using a thermal basis Determinação do período crítico de controle de plantas daninhas em milho utilizando uma base térmica

Pesquisa Agropecuária Brasileira, 1999
Field studies were conducted over 3 years in southeast Buenos Aires, Argentina, to determine the critical period of weed control in maize (Zea mays L.).
Francisco Bedmar, Pablo Manetti, Gloria Monterubbianesi   +2 more
doaj   +1 more source

Evaluation of the paraoxonase-1 kinetic parameters of the lactonase activity by nonlinear fit of progress curves

Journal of Enzyme Inhibition and Medicinal Chemistry, 2020
Although paraoxonase-1 (PON1) activity has been demonstrated to be a reliable biomarker of various diseases, clinical studies have been based only on relative comparison of specific enzyme activities, which capture differences mainly due to (usually ...
Marko Goličnik, Aljoša Bavec
doaj   +1 more source

Parametric Elliptical Regression Quantiles

Revstat Statistical Journal, 2020
The article extends linear and nonlinear quantile regression to the case of vector responses by generalizing multivariate elliptical quantiles to a regression context.
Daniel Hlubinka , Miroslav Šiman
doaj   +1 more source

Overdispersed Nonlinear Regression Models

Austrian Journal of Statistics
In this paper we propose nonlinear regression models in the biparametric family of distributions. In this class of models we propose two new classes of overdispersed nonlinear regression models: the first, defined from the overdispersion family of ...
Edilberto Cepeda-Cuervo, María Victoria Cifuentes   +1 more
doaj   +1 more source