Results 61 to 70 of about 2,638,357 (294)
Two Stage Robust Dawoud – Kibria Estimator for Handling multicollinearity and outliers in the linear Regression model. [PDF]
In the linear regression model, the least-squares (LS) estimator is commonly used to estimate regression parameters. However, LS becomes unreliable and unfavorable when the model is affected by multicollinearity and outliers simultaneously.
Enas Goda Mohamed
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A pyrenylated donor–acceptor probe exhibits environment‐dependent fluorescence governed by intramolecular charge transfer, restricted molecular motion, and supramolecular organization. Nonlinear regression accurately reconstructs fluorescence responses to viscosity, temperature, concentration, and pH, while correlated parameter maps reveal hidden ...
Harshal V. Barkale +2 more
wiley +1 more source
The analysis of misspecification was extended to the recently introduced stochastic restricted biased estimators when multicollinearity exists among the explanatory variables. The Stochastic Restricted Ridge Estimator (SRRE), Stochastic Restricted Almost
Manickavasagar Kayanan +1 more
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Recent Advances of Slip Sensors for Smart Robotics
This review summarizes recent progress in robotic slip sensors across mechanical, electrical, thermal, optical, magnetic, and acoustic mechanisms, offering a comprehensive reference for the selection of slip sensors in robotic applications. In addition, current challenges and emerging trends are identified to advance the development of robust, adaptive,
Xingyu Zhang +8 more
wiley +1 more source
Special ridge-type estimator: Simulation and application to chemical data
This study delves into regularization techniques, such as ridge regression, Liu estimator, and Kibria–Lukman estimator, as alternatives to the maximum likelihood method for addressing multicollinearity in beta regression models.
Rasha A. Farghali +4 more
doaj +1 more source
Spectral Reconstruction Using Broadband Inkjet‐Printed Optical Filters
A proof‐of‐concept for a reconstructive spectrometer based on inkjet‐printed interferometric optical filters is demonstrated. Through adaptive encoding and robust post‐processing algorithms, spectral reconstruction is achieved over a 400 nm visible bandwidth at a fraction of the cost and complexity of typical encoders while maintaining high optical ...
Leonardo Baini +9 more
wiley +1 more source
TacScope: A Miniaturized Vision‐Based Tactile Sensor for Surgical Applications
TacScope is a compact, vision‐based tactile sensor designed for robot‐assisted surgery. By leveraging a curved elastomer surface with pressure‐sensitive particle redistribution, it captures high‐resolution 3D tactile feedback. TacScope enables accurate tumor detection and shape classification beneath soft tissue phantoms, offering a scalable, low‐cost ...
Md Rakibul Islam Prince +3 more
wiley +1 more source
A study of local linear ridge regression estimators
In the case of the random design nonparametric regression, to correct for the unbounded finite-sample variance of the local linear estimator (LLE), Seifert and Gasser (J. Amer. Statist. Assoc.
鄧文舜; Deng, Wen-shuenn; Chu, C.K.; Cheng, M.Y.
core +1 more source
Waveguide Photoactuators: Materials, Fabrication, and Applications
Waveguide photoactuators convert guided light into mechanical motion. Their tethered‐flexible design enables minimally invasive surgery and confined‐space robotics. This review aims to guide materials selection, device design, and system integration, accelerating the transition of waveguide photoactuators from laboratory prototypes to versatile ...
Minjie Xi +4 more
wiley +1 more source
Bootstrap-quantile ridge estimator for linear regression with applications.
Bootstrap is a simple, yet powerful method of estimation based on the concept of random sampling with replacement. The ridge regression using a biasing parameter has become a viable alternative to the ordinary least square regression model for the ...
Irum Sajjad Dar, Sohail Chand
doaj +2 more sources

