Robustness of theil's mixed regression estimators

1977 ◽  
Vol 5 (1) ◽  
pp. 93-109 ◽  
Author(s):  
P.A.V.B. Swamy ◽  
J.S. Mehta
Keyword(s):  
Regression Estimators ◽  
Mixed Regression

scholarly journals Prevalence of BRD-Related Viral Pathogens in the Upper Respiratory Tract of Swiss Veal Calves

Animals ◽  
2021 ◽  
Vol 11 (7) ◽  
pp. 1940
Author(s):  
Eveline Studer ◽  
Lutz Schönecker ◽  
Mireille Meylan ◽  
Dimitri Stucki ◽  
Ronald Dijkman ◽  
...  
Keyword(s):  
Risk Factors ◽  
Welfare Economic ◽  
Economic Losses ◽  
Nasopharyngeal Swab ◽  
Upper Respiratory Tract ◽  
Convenience Sample ◽  
Veal Calves ◽  
Mixed Regression ◽  
Influenza C Virus ◽  
Syncytial Virus

The prevention of bovine respiratory disease is important, as it may lead to impaired welfare, economic losses, and considerable antimicrobial use, which can be associated with antimicrobial resistance. The aim of this study was to describe the prevalence of respiratory viruses and to identify risk factors for their occurrence. A convenience sample of 764 deep nasopharyngeal swab samples from veal calves was screened by PCR for bovine respiratory syncytial virus (BRSV), bovine parainfluenza-3 virus (BPI3V), bovine coronavirus (BCoV), influenza D virus (IDV), and influenza C virus (ICV). The following prevalence rates were observed: BRSV, 2.1%; BPI3V, 3.3%; BCoV, 53.5%; IDV, 4.1%; ICV, 0%. Logistic mixed regression models were built for BCoV to explore associations with calf management and housing. Positive swab samples were more frequent in younger calves than older calves (>100 days; p < 0.001). The probability of detecting BCoV increased with increasing group size in young calves. Findings from this study suggested that young calves should be fattened in small groups to limit the risk of occurrence of BCoV, although an extended spectrum of risk factors for viral associated respiratory disorders such as nutritional aspects should be considered in future studies.

scholarly journals Observation of Nociceptive Processing: Effect of Intra-Epidermal Electric Stimulus Properties on Detection Probability and Evoked Potentials

2021 ◽  
Vol 34 (2) ◽  
pp. 139-153
Author(s):  
Boudewijn van den Berg ◽  
Jan R. Buitenweg
Keyword(s):  
Evoked Potentials ◽  
Detection Probability ◽  
Pulse Interval ◽  
System Behavior ◽  
Stimulus Properties ◽  
Nociceptive System ◽  
Nociceptive Stimulus ◽  
Peripheral Nerve Fiber ◽  
Nociceptive Processing ◽  
Mixed Regression

AbstractMonitoring nociceptive processing is a current challenge due to a lack of objective measures. Recently, we developed a method for simultaneous tracking of psychophysical detection probability and brain evoked potentials in response to intra-epidermal stimulation. An exploratory investigation showed that we could quantify nociceptive system behavior by estimating the effect of stimulus properties on the evoked potential (EP). The goal in this work was to accurately measure nociceptive system behavior using this method in a large group of healthy subjects to identify the locations and latencies of EP components and the effect of single- and double-pulse stimuli with an inter-pulse interval of 10 or 40 ms on these EP components and detection probability. First, we observed the effect of filter settings and channel selection on the EP. Subsequently, we compared statistical models to assess correlation of EP and detection probability with stimulus properties, and quantified the effect of stimulus properties on both outcome measures through linear mixed regression. We observed lateral and central EP components in response to intra-epidermal stimulation. Detection probability and central EP components were positively correlated to the amplitude of each pulse, regardless of the inter-pulse interval, and negatively correlated to the trial number. Both central and lateral EP components also showed strong correlation with detection. These results show that both the observed EP and the detection probability reflect the various steps of processing of a nociceptive stimulus, including peripheral nerve fiber recruitment, central synaptic summation, and habituation to a repeated stimulus.

scholarly journals Meta-Analysis of Studies on Eggshell Concrete Using Mixed Regression and Response Surface Methodology

2021 ◽  
Author(s):  
Beng Wei Chong ◽  
Rokiah Othman ◽  
Ramadhansyah Putra Jaya ◽  
Xiaofeng Li ◽  
Mohd Rosli Mohd Hasan ◽  
...  
Keyword(s):  
Response Surface Methodology ◽  
Response Surface ◽  
Meta Analysis ◽  
Mixed Regression

scholarly journals The influence function of penalized regression estimators

Statistics ◽  
2014 ◽  
Vol 49 (4) ◽  
pp. 741-765 ◽  
Author(s):  
Viktoria Öllerer ◽  
Christophe Croux ◽  
Andreas Alfons
Keyword(s):  
Influence Function ◽  
Penalized Regression ◽  
Regression Estimators

scholarly journals On some beta ridge regression estimators: method, simulation and application

2021 ◽  
pp. 1-14
Author(s):  
Muhammad Qasim ◽  
Kristofer Månsson ◽  
B. M. Golam Kibria
Keyword(s):  
Ridge Regression ◽  
Regression Estimators
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