Results 11 to 20 of about 599,650 (333)
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 +3 more
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Nonlinear Regression With Censored Data [PDF]
Technometrics, 2007 Suppose that the random vector (X, Y) satisfies the regression model Y = m(X) + σ(X)ϵ, where m (·) = E(Y||·) belongs to some parametric class {mθ(·):θ∈} of regression functions, σ2(·) = var(Y||·) is unknown, and ϵ is independent of X. The response Y is subject to random right censoring, and the covariate X is completely observed.
Cédric Heuchenne, Ingrid Van Keilegom
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Regression rank scores in nonlinear models [PDF]
, 2008 Consider the nonlinear regression model $Y_i=g({\bf x}_i,\boldmath $\theta$)+e_i,\quad i=1,...,n$(1) with ${\bf x}_i\in \mathbb{R}^k,$ $\boldmath{\theta}=(\theta_0,\theta_1,...,\theta_p)^{\prime}\in \boldmath $\Theta$$ (compact in $\mathbb{R}^{p+1 ...
Jurečková, Jana
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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 +1 more
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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 +2 more
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Nonlinear regression of stable random variables [PDF]
, 1991 Let (X1,X2) be an α-stable random vector, not necessarily symmetric, with ...
Hardin, Clyde D., Jr +2 more
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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 +8 more
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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
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Optimal Scaling of Mala for Nonlinear Regression [PDF]
, 2004 We address the problem of simulating efficiently from the posterior distribution over the parameters of a particular class of nonlinear regression models using a Langevin-Metropolis sampler.
Breyer, Laird Arnault +2 more
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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
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