Results 41 to 50 of about 427,529 (281)
Journal of Applied Mathematics, 2014 The stochastic restricted r-k class estimator and stochastic restricted r-d class estimator are proposed for the vector of parameters in a multiple linear regression model with stochastic linear restrictions. The mean squared error matrix of the proposed
Jibo Wu
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Accounting for measurement error in log regression models with applications to accelerated testing. [PDF]
PLoS ONE, 2018 In regression settings, parameter estimates will be biased when the explanatory variables are measured with error. This bias can significantly affect modeling goals.
Robert Richardson +3 more
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Regression Designs in Autoregressive Stochastic Processes
The Annals of Statistics, 1974 This paper extends some recent results on asymptotically optimal sequences of experimental designs for regression problems in stochastic processes. In the regression model $Y(t) = \beta f(t) + X(t), 0 \leqq t \leqq 1$, the constant $\beta$ is to be estimated based on observations of $Y(t)$ and its first $m - 1$ derivatives at each of a set $T_n$ of $n$
Hajek, Jaroslav, Kimeldorf, George
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Advanced Engineering Materials, EarlyView.This study presents an infrared monitoring approach for direct laser interference patterning (DLIP) combined with a convolutional neural network (CNN). Thermal emission data captured during structuring are used to predict surface topography parameters.
Lukas Olawsky +5 more
wiley +1 more source
A Stochastic Restricted Principal Components Regression Estimator in the Linear Model
The Scientific World Journal, 2014 We propose a new estimator to combat the multicollinearity in the linear model when there are stochastic linear restrictions on the regression coefficients.
Daojiang He, Yan Wu
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Deterministic Detection of Single Ion Implantation
Advanced Engineering Materials, EarlyView.Focused ion beam implantation with high detection efficiencies will enable the rapid and scalable fabrication of advanced spin‐based technologies such as qubits. This work presents the detection efficiencies of a wide range of ions implanted into solid‐state hosts, with efficiencies of >90% recorded for ion species and substrate combinations of ...
Mason Adshead +6 more
wiley +1 more source
Wavelets for Nonparametric Stochastic Regression with Mixing Stochastic Process [PDF]
Communications in Statistics - Theory and Methods, 2008 We propose a wavelet based stochastic regression function estimator for the estimation of the regression function for a sequence of mixing stochastic process with a common one-dimensional probability density function. Some asymptotic properties of the proposed estimator are investigated.
H. Doosti, M. Afshari, H. A. Niroumand
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Advanced Engineering Materials, EarlyView.This study reports lightweight polyetherimide triply periodic minimal surfaces lattices coated with carbon nanotube‐reinforced epoxy that combine mechanical robustness with self‐sensing. The conformal coating enhances stiffness, strength and energy absorption while enabling reliable strain monitoring.
A. Triay +3 more
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Two Kinds of Weighted Biased Estimators in Stochastic Restricted Regression Model
Journal of Applied Mathematics, 2014 We consider two kinds of weighted mixed almost unbiased estimators in a linear stochastic restricted regression model when the prior information and the sample information are not equally important.
Chaolin Liu +3 more
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Regression based scenario generation: Applications for performance management
Operations Research Perspectives, 2019 Regression analysis is a common tool in performance management and measurement in industry. Many firms wish to optimise their performance using Stochastic Programming but to the best of our knowledge there exists no scenario generation method for ...
Sovan Mitra +2 more
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