Results 131 to 140 of about 1,043 (255)

Perbandingan Ordinary Ridge Regression Dan Generalized Ridge Regression Pada Kasus Multikolinieritas Dengan Tingkat Koefisien Korelasi Berbeda [PDF]

, 2018
Analisis regresi adalah sebuah alat statistika untuk mengetahui bentuk hubungan antara peubah respon sebagai fungsi dari peubah prediktor. Asumsi yang melandasi analisis regresi adalah kenormalan sisaan, kehomogenan ragam sisaan, non autokorelasi dan
Ningsih, Agustin Fitri Sardia
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When Collaboration Bridges or Breaks: A Systematic Review of Emerging Trends in Supply Chain Resilience and Sustainability

Business Strategy and the Environment, EarlyView.
ABSTRACT Widespread digital adoption has challenged our understanding of how these tools reshape collaboration, trust and sustainability outcomes across different institutional and network contexts. As networks now pursue resilience and sustainable development in parallel, we map emerging research directions and identify how collaboration and ...
Ari Carisza Graha Prasetia, Luca Urciuoli   +1 more
wiley   +1 more source

Machine learning‐assisted clone selection for intensified cell culture processes

Biotechnology Progress, EarlyView.
Abstract Intensified fed‐batch processes are becoming increasingly prevalent among biomanufacturers due to their superior space–time yields relative to traditional, non‐intensified fed‐batch processes. However, the shift towards intensified manufacturing has unexpectedly made optimal clone selection more challenging.
Nicolas Wolnick, John Schmitt, Christian Siltanen, Julia Armstrong, Shannon Hendrick, Ariel Atchley, Brandon Downey   +6 more
wiley   +1 more source

THE PREDICTION OF THE TWO PARAMETER RIDGE ESTIMATOR

, 2016
The prediction of regression model can be adversely affected by multicollinearity. Although biased estimation procedures have been proposed as an alternative to least squares, there has been little analysis of the predictive performance of the resulting ...
Issam Dawoud, Selahattin Kaçıranlar
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Mechanistic deconvolution of BSA size variants by constrained Raman pseudo‐Voigt hard modeling during anion‐exchange chromatography

Biotechnology Progress, EarlyView.
Abstract In biopharmaceutical manufacturing, protein aggregation is a critical quality attribute, necessitating rapid and reliable analytical strategies during downstream processes like anion‐exchange chromatography (AEX). While Raman spectroscopy enables continuous monitoring of protein secondary structure, standard data‐driven regression models ...
Jakob Heyer‐Müller, Robin Schiemer, Lars Robbel, Michael Schmitt, Jürgen Hubbuch   +4 more
wiley   +1 more source

Combination of autogenous dentin graft and allograft for horizontal ridge augmentation: A case report

Clinical Advances in Periodontics, EarlyView.
Abstract Background Autogenous particulate dentin has emerged as one of the promising biocompatible alternatives to traditional bone graft materials in alveolar ridge augmentation. Although its clinical success is documented, comprehensive studies combining histological and radiographic evaluations remain limited. This case report addresses this gap by
Kosuke Kashiwagi, Yu‐Cheng Chang, Tun‐Jan Wang, Dumitru Gogarnoiu, Rodrigo Neiva   +4 more
wiley   +1 more source

Ridge regression sampling properties and Monte Carlo experiment

, 1998
The focus of this study is evaluate the asymptotic properties of ridge regression using a Monte Carlo simulation. In so doing, I will follow the work of Saleh and Kibria (1995), whose proposition is that when the design matrix is ill-conditioned, or ...
Silverio, Pedro R
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Flap perfusion of superficial split flap design for guided bone regeneration: A case report with ultrasonography

Clinical Advances in Periodontics, EarlyView.
Abstract Background Effective flap management is crucial for successful bone regeneration procedures. Traditional flap release has been performed by the deep split design; recently, the superficial split design revives for its proposed anatomical and biomechanical advantages.
Oscar Durán‐Garnica, Karen Villarreal‐Arizpe, Amanda Rodríguez, Oliver Kripfgans, Hsun‐Liang Chan   +4 more
wiley   +1 more source

lmridge: A Comprehensive R Package for Ridge Regression

, 2018
The ridge regression estimator, one of the commonly used alternatives to the conventional ordinary least squares estimator, avoids the adverse effects in the situations when there exists some considerable degree of multicollinearity among the regressors.
Ullah, Muhammad Imdad, Atlaf, Saima, Bahauddin Zakariya University   +2 more
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Implementation of Machine Learning Models to Predict Functionality of Pea Flour From Its Composition

Cereal Chemistry, EarlyView.
ABSTRACT Background and Objectives The goal of this research was to examine the relationship between the composition and functionality of pea flour using the following machine learning algorithms: linear regression, partial least squares regression (PLSR), Gaussian process regression (GPR), support vector regression, gradient‐boosted decision trees ...
Colten N. Nickerson, Sarah Hogarth, Andrea K. Stone, Gene C. Arganosa, Pankaj Bhowmik, Tom D. Warkentin, Jordan Ubbens, Michael T. Nickerson   +7 more
wiley   +1 more source