Results 121 to 130 of about 2,627,626 (274)

A NEW METHOD OF ROBUST LINEAR REGRESSION ANALYSIS: SOME MONTE CARLO EXPERIMENTS [PDF]

This paper has elaborated upon the deleterious effects of outliers and corruption of dataset on estimation of linear regression coefficients by the Ordinary Least Squares method.
Sudhanshu Kumar MISHRA
core   +2 more sources

Food inflation pass‐through from agricultural imports in a small open economy

American Journal of Agricultural Economics, EarlyView.
Abstract This paper develops a new framework for quantifying cost pass‐through in a small open economy by estimating firm‐level markup responses to agricultural import price shocks. We show theoretically that markup adjustments depend on firms' reliance on imported inputs and demand curvature, generating heterogeneous inflationary effects across firm ...
Minseong Kang, Seungki Lee
wiley   +1 more source

Becoming resilient: Community‐driven change and the Civic Capacity Index

American Journal of Community Psychology, EarlyView.
Abstract One of the principal features of successful community governance is that it is collaborative and thus dependent on a community's ability to work together. However, there are no valid, comprehensive means to assess a community's capacity to respond to civic challenges in collaborative ways, and that are predictive of community resilience and ...
David MacPhee, David Chrislip, Patti Schmitt   +2 more
wiley   +1 more source

A rhesus macaque model of α‐dystroglycanopathy caused by a POMT1 splice altering variant

Animal Models and Experimental Medicine, EarlyView.
Rhesus macaques homozygous for a naturally occurring spice altering variant in the POMT1 gene develop lissencephaly, microphthalmia, and muscular contracture. The presentation models severe presentation of the human Walker‐Warburg syndrome. Abstract Background Biallelic mutations in genes associated with α‐dystroglycan glycosylation manifest in a ...
Anya Nordlund, Brian LaMendola, Nathan P. Crilly, Seth Kittle, Betsy M. Ferguson, Anne D. Lewis, Jeff Wall, Samuel M. Peterson   +7 more
wiley   +1 more source

Circulating Exosomes Drive Persistent Neuronal Dysfunction in Post‐Herpetic Neuralgia Patients

Annals of Neurology, EarlyView.
Proposed model of exosome‐mediated neuronal dysfunction in post‐herpetic neuralgia (PHN). (1) Circulating, non‐pathogenic exosomes maintain homeostatic processes in healthy skin, where sensory nerve fibers innervate the epidermis and dermis. (2) During acute zoster, reactivating varicella zoster virus (VZV) travels down neurites to the skin causing ...
Christy S. Niemeyer, Seth Frietze, Serena W.R. Lewis, Emily C. Artman, Christina Coughlan, Safa I. Vaseemuddin, Arianna Gentile Polese, Maria A. Nagel, Stephen K. Tyring, Fyona Okundia, Anthony J. Saviola, Gary C. Curhan, Sharon G. Curhan, Diego Restrepo, Andrew N. Bubak   +14 more
wiley   +1 more source

A robust partial least squares method with applications [PDF]

, 2007
Partial least squares regression (PLS) is a linear regression technique developed to relate many regressors to one or several response variables. Robust methods are introduced to reduce or remove the effect of outlying data points.
Romera, Rosario, González, Javier, Peña, Daniel   +2 more
core   +1 more source

Handling multicollinearity and outliers using weighted ridge least trimmed squares [PDF]

, 2014
Common problems in multiple linear regression models are multicollinearity and outliers. In this paper, we will propose a robust ridge regression. It is based on weighted ridge least trimmed squares (WRLTS).
Pati, Kafi Dano, Rasheed, Bello Abdulkadir, Adnan, Robiah, Saffari, Seyed Ehsan   +3 more
core  

Benchmarking least squares support vector machine classifiers. [PDF]

In Support Vector Machines (SVMs), the solution of the classification problem is characterized by a ( convex) quadratic programming (QP) problem. In a modified version of SVMs, called Least Squares SVM classifiers (LS-SVMs), a least squares cost function
Suykens, Johan, Vandewalle, Joos, De Moor, Bart, Van Gestel, Tony, Vanthienen, Jan, Baesens, Bart, Dedene, Guido, Viaene, Stijn   +7 more
core  

Residual Strength Prediction of Chemically Reactive Two‐Phase Nanofluid Flow in a Bingham–Papanastasiou Rheological Theory Using a Morlet‐Based Wavelet Neural Network Approach

Asia-Pacific Journal of Chemical Engineering, EarlyView.
ABSTRACT The behavior of nanofluid flow involving a zero‐mass flux condition has received considerable interest because of a realistic scenario. In reality, this condition confines the optimistic accumulation or disappearance of nanoparticles past a sheet, constructing a more physically realistic demonstration through several applications, such as heat
Umair Khan, Hamza Rauf, Aurang Zaib, J. K. Madhukesh   +3 more
wiley   +1 more source

A multivariate adaptive trimmed likelihood algorithm [PDF]

, 2005
The research reported in this thesis describes a new algorithm which can be used to robustify statistical estimates adaptively. The algorithm does not require any pre-specified cut-off value between inlying and outlying regions and there is no ...
Schubert, Daniel
core