Results 71 to 80 of about 75,307 (298)

Comparing ols and rank-based estimation techniques for production analysis: An application to Ghanaian maize farms.

Apstract: Applied Studies in Agribusiness and Commerce, 2016
This paper introduces the rank-based estimation method to modelling the Cobb-Douglas production function as an alternative to the least squares approach.
Henry De-Graft Acquah
doaj   +1 more source

Association of Corticospinal Tract Asymmetry With Ambulatory Ability After Intracerebral Hemorrhage

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Ambulatory ability after intracerebral hemorrhage (ICH) is important to patients. We tested whether asymmetry between ipsi‐ and contra‐lesional corticospinal tracts (CSTs) assessed by diffusion tensor imaging (DTI) is associated with post‐ICH ambulation.
Yasmin N. Aziz, Carl D. Langefeld, Mary E. Comeau, Miranda C. Marion, Tyler P. Behymer, Lee A. Gilkerson, Padmini Sekar, Weihong Yuan, Vivek Khandwala, Brady J. Williamson, Thomas Maloney, Achala Vagal, Pierce Boyne, Kari Dunning, Matthew L. Flaherty, Steven J. Kittner, Prachi Mehndiratta, Gunjan Y. Parikh, Michael L. James, David Roh, Fernando D. Testai, Farhaan S. Vahidy, James Thornton, Ranjit Bagga, Daniel Woo, Stacie L. Demel   +25 more
wiley   +1 more source

The Comparison Between Different Approaches to Overcome the Multicollinearity Problem in Linear Regression Models

Ibn Al-Haitham Journal for Pure and Applied Sciences, 2018
    In the presence of multi-collinearity problem, the parameter estimation method based on the ordinary least squares procedure is unsatisfactory. In 1970, Hoerl and Kennard insert analternative method labeled as estimator of ridge regression.
Hazim Mansoor Gorgees, Fatimah Assim Mahdi   +1 more
doaj   +1 more source

Estimating the intercept in an orthogonally blocked experiment when the block effects are random. [PDF]

: For an orthogonally blocked experiment, Khuri (1992) has shown that the ordinary least squares estimator and the generalized least squares estimator of the factor effects in a response surface model with random block effects coincide.
Goos, Peter, Vandebroek, Martina
core  

Statistical Modeling and Estimation of Censored Pathloss Data [PDF]

, 2015
Pathloss is typically modeled using a log-distance power law with a large-scale fading term that is log-normal. However, the received signal is affected by the dynamic range and noise floor of the measurement system used to sound the channel, which can ...
Abbas, Taimoor, Bolin, David, Gustafson, Carl, Tufvesson, Fredrik   +3 more
core   +2 more sources

Lessons Learned From a Delayed‐Start Trial of Modafinil for Freezing of Gait in Parkinson's Disease

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Freezing of gait (FOG) in people with Parkinson's disease (PwPD) is debilitating and has limited treatments. Modafinil modulates beta/gamma band activity in the pedunculopontine nucleus (PPN), like PPN deep brain stimulation. We therefore tested the hypothesis that Modafinil would improve FOG in PwPD.
Tuhin Virmani, Lakshmi Pillai, Reid D. Landes, Aliyah Glover, Shannon Doerhoff, Jennifer Kleiner, Mitesh Lotia, Rohit Dhall, Edgar Garcia‐Rill   +8 more
wiley   +1 more source

Kernel-Based Regularized Least Squares in R (KRLS) and Stata (krls)

Journal of Statistical Software, 2017
The Stata package krls as well as the R package KRLS implement kernel-based regularized least squares (KRLS), a machine learning method described in Hainmueller and Hazlett (2014) that allows users to tackle regression and classification problems without
Jeremy Ferwerda, Jens Hainmueller, Chad J. Hazlett   +2 more
doaj   +1 more source

Robustness or Efficiency, A Test to Solve the Dilemma [PDF]

When dealing with the presence of outliers in a dataset, the problem of choosing between the classical ordinary least squares and robust regression methods is sometimes addressed inadequately.
Catherine Dehon, Marjorie Gassner, Vincenzo Verardi   +2 more
core  

In‐Depth Profiling Highlights the Effect of Efgartigimod on Peripheral Innate and Adaptive Immune Cells in Myasthenia Gravis

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Myasthenia gravis (MG) is an autoimmune disorder characterized by antibody‐mediated complement activation. Efgartigimod, a neonatal Fc receptor (FcRn) antagonist, is approved for treating generalized MG (gMG). However, its modulatory effects on upstream innate and adaptive immune cells remain largely unexplored.
Lei Jin, Liu Dong, Ying Wang, Dingxian He, Chong Yan, Jianying Xi, Haoqin Jiang, Yu Shi, Ming Guan, Chongbo Zhao, Jie Song, Sushan Luo   +11 more
wiley   +1 more source

MELE: MAXIMUM ENTROPY LEUVEN ESTIMATORS [PDF]

Multicollinearity hampers empirical econometrics. The remedies proposed to date suffer from pitfalls of their own. The ridge estimator is not generally accepted as a vital alternative to the ordinary least-squares (OLS) estimator because it depends upon ...
Paris, Quirino
core   +1 more source