Results 51 to 60 of about 52,512 (299)

Econometric ridge regression models of risk-sensitive sunflower yield

Arquivo Brasileiro de Medicina Veterinária e Zootecnia, 2021
The article considers econometric ridge regression models of the risk-sensitive sunflower yield on the example of an export-oriented agricultural crop.
M.I. Slozhenkina, I.F. Gorlov, O.A. Kholodov, M.A. Kholodova, O.P. Shakhbazova, D.A. Mosolova, O.A. Knyazhechenko   +6 more
doaj   +1 more source

Immunoinflammatory Mechanisms and Biocompatibility of Bioactive Dental Biomaterials: From Fundamental Insights to Clinical Translation

Advanced Healthcare Materials, EarlyView.
Surface‐host dialogue at the implant interface governs biological fate and osseointegration. Surface physicochemical properties of titanium (Ti) dental implants, including microgrooves, nanopatterns, nanotopography, roughness, and wettability, modulate the initial adsorption of proteins and the formation of a dynamic biointerface.
Daniela Moreira Cunha, Amanda Paino Santana, Marta Maria Alves Pereira, Mariana Martins Guerreiro, Jose Mauro Granjeiro, Jamil Awad Shibli, Jeroen J. J. P. van den Beucken, Anton Sculean, Rafael Scaf de Molon, Erica Dorigatti de Avila   +9 more
wiley   +1 more source

Quadratic forms in Normal Variates Under Ridge Regression. [PDF]

The Egyptian Statistical Journal, 1997
This paper concentrates on studying the quadratic forms in normal variates which appear when testing linear statistical hypothesis under ridge regression with positive non-stochastic biased factors k1, k2, …, kp . Except for the correction factor nȳ2, it
Abdul-Mordy Azzam
doaj   +1 more source

Machine Learning Accelerated Computational Design of Bio‐Inspired Catalysts in the Nitrogen Reduction Reaction

Advanced Materials, EarlyView.
We introduce a computational workflow that combines quantum chemical calculations and machine learning techniques to predict the catalytic performance of a wide range of catalysts in the nitrogen reduction reaction (NRR). The analysis of the trained models provides insights into the complex structure–activity relationship in experimental catalytic ...
Leonardo Di Ciano, Zihan You, Haoran Chen, Qifan Zhong, Rong‐Zhen Liao, Shaoqi Zhan   +5 more
wiley   +1 more source

Local earthquake magnitude estimation using ridge regression model

Electronics Letters, 2022
In this paper, a local magnitude estimation model using ridge regression is proposed for the accurate determination of the local magnitude of earthquakes.
Hyeongki Ahn, Kyunghyun Lee, Hyunchang Kim, Mingyuan Hu, Kwanho You   +4 more
doaj   +1 more source

Comparison of regression models under multi-collinearity

, 2018
Multicollinearity is a major problem in linear regression analysis and several methods exists in the literature to deal with the same. Ridge regression is one of the most popular methods to overcome the problem followed by Generalized Ridge Regression ...
Srinivasan, Rangasami M.; Department of Statistics, University of Madras, Bagya Lakshmi, H.; Department of Statistics, University of Madras, Gallo, Michele; Dipartimento di Scienze Sociali, Università di Napoli - L'Orientale   +2 more
core   +1 more source

Recent Advances of Slip Sensors for Smart Robotics

Advanced Materials Technologies, EarlyView.
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, Liao Wu, Shuai He, Zhao Sha, Yuwan Huang, Shuying Wu, Dewei Chu, Chun H. Wang, Shuhua Peng   +8 more
wiley   +1 more source

Recovering Jackknife Ridge Regression Estimates from OLS Results [PDF]

مجلة جامعة الانبار للعلوم الصرفة, 2014
The aim of this paper is addressing or recalculate the estimation methods in multiple linear regression model when there is a problem of Multicollinearity in this model like the ridge regression for Hoerl and Kannard, Baldwin estimator (HKB) and ...
Feras Sh. Mahmood
doaj   +1 more source

Efficiency of conformalized ridge regression

CoRR, 2014
Conformal prediction is a method of producing prediction sets that can be applied on top of a wide range of prediction algorithms. The method has a guaranteed coverage probability under the standard IID assumption regardless of whether the assumptions (often considerably more restrictive) of the underlying algorithm are satisfied.
Evgeny Burnaev, Vladimir Vovk
openaire   +3 more sources

Magnetic Droplet Manipulation on Open Surfaces

Advanced Materials Technologies, EarlyView.
Recent advances in the manipulation of magnetic droplets demonstrate various manipulations on open surfaces, including transport, splitting, merging, and force‐controlled motion, enabled by magnetic particles and external fields. ABSTRACT Manipulation of liquids on a smaller scale enables applications in various fields, particularly diagnostics and ...
Robab Jahangir, Vahid Nasirimarekani
wiley   +1 more source