Results 61 to 70 of about 1,128,323 (301)

River water modelling prediction using multi-linear regression, artificial neural network, and adaptive neuro-fuzzy inference system techniques

open access: yes, 2017
In this study, multi linear regression ( MLR), artificial neural network (ANN) and adaptive neuro fuzzy inference system(ANFIS) techniques were developed to predict the Dissolve oxygen concentration at down stream of Agra city, using monthly input data ...
S Abba, Sinan Jasim Hadi, J. Abdullahi
semanticscholar   +1 more source

Cluster-Robust Variance Estimation for Dyadic Data [PDF]

open access: yes, 2015
Dyadic data are common in the social sciences, although inference for such settings involves accounting for a complex clustering structure. Many analyses in the social sciences fail to account for the fact that multiple dyads share a member, and that ...
Aronow, Peter M.   +2 more
core   +3 more sources

Log-Regularly Varying Scale Mixture of Normals for Robust Regression

open access: yes, 2021
Linear regression with the classical normality assumption for the error distribution may lead to an undesirable posterior inference of regression coefficients due to the potential outliers.
Hamura, Yasuyuki   +2 more
core   +1 more source

Causal Dantzig: Fast inference in linear structural equation models with hidden variables under additive interventions [PDF]

open access: yesAnnals of Statistics, 2017
Causal inference is known to be very challenging when only observational data are available. Randomized experiments are often costly and impractical and in instrumental variable regression the number of instruments has to exceed the number of causal ...
Dominik Rothenhausler   +2 more
semanticscholar   +1 more source

Bayesian Inference in Numerical Cognition: A Tutorial Using JASP

open access: yesJournal of Numerical Cognition, 2020
Researchers in numerical cognition rely on hypothesis testing and parameter estimation to evaluate the evidential value of data. Though there has been increased interest in Bayesian statistics as an alternative to the classical, frequentist approach to ...
Thomas J. Faulkenberry   +2 more
doaj   +1 more source

A study of the equivalence of inference results in the contexts of true and misspecified multivariate general linear models

open access: yesAIMS Mathematics, 2023
In practical applications of regression models, we may meet with the situation where a true model is misspecified in some other forms due to certain unforeseeable reasons, so that estimation and statistical inference results obtained under the true and ...
Ruixia Yuan, Bo Jiang, Yongge Tian
doaj   +1 more source

Restricted Inference in Circular-Linear and Linear-Circular Regression

open access: yesSri Lankan Journal of Applied Statistics, 2016
In this paper, we investigate restricted inference on two types of circular regression, called circular-linear and linear-circular. Our aim in this paper is to propose an alternative method which is necessary to apply where one observes a weak association between circular dependent and linear predictor variables, or between linear dependent and ...
Thelge Buddika Peiris, Sungsu Kim
openaire   +2 more sources

Linear regression with many controls of limited explanatory power

open access: yesQuantitative Economics, 2021
We consider inference about a scalar coefficient in a linear regression model. One previously considered approach to dealing with many controls imposes sparsity, that is, it is assumed known that nearly all control coefficients are (very nearly) zero. We
Chenchuan Li, Ulrich K. Müller
semanticscholar   +1 more source

Parent‐to‐Child Information Disclosure in Pediatric Oncology

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Background Despite professional consensus regarding the importance of open communication with pediatric cancer patients about their disease, actual practice patterns of disclosure are understudied. Extant literature suggests a significant proportion of children are not told about their diagnosis/prognosis, which is purported to negatively ...
Rachel A. Kentor   +12 more
wiley   +1 more source

A Comparative Study of Cerebral Oxygenation During Exercise in Hemodialysis and Peritoneal Dialysis Patients

open access: yesTherapeutic Apheresis and Dialysis, EarlyView.
ABSTRACT Introduction Cognitive impairment and exercise intolerance are common in dialysis patients. Cerebral perfusion and oxygenation play a major role in both cognitive function and exercise execution; HD session per se aggravates cerebral ischemia in this population. This study aimed to compare cerebral oxygenation and perfusion at rest and in mild
Marieta P. Theodorakopoulou   +10 more
wiley   +1 more source

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