Results 1 to 10 of about 424,647 (298)

Link performance functions for high occupancy vehicle lanes of freeways

open access: yesTransport, 2018
High Occupancy Vehicle (HOV) lanes are widely used on freeways and play an important role in network design and management. Likewise, link performance functions serve as an essential tool for transport system analysis.
Xiang Zhang, S. Travis Waller
doaj   +1 more source

There was a similar U-shaped nonlinear association between waist-to-height ratio and the risk of new-onset hypertension: findings from the CHNS

open access: yesFrontiers in Nutrition, 2023
BackgroundThe association between waist-to-height ratio (WHtR) with hypertension has not been adequately explained, so in this study we sought to clarify the predictive role of WHtR on the incidence of hypertension as well as the potential nonlinear ...
Zhenwei Wang   +10 more
doaj   +1 more source

Continuity and differentiability of regression M functionals [PDF]

open access: yes, 2012
This paper deals with the Fisher-consistency, weak continuity and differentiability of estimating functionals corresponding to a class of both linear and nonlinear regression high breakdown M estimates, which includes S and MM estimates.
Fasano, María V.   +3 more
core   +2 more sources

Estimating test-day milk yields by modeling proportional daily yields: Going beyond linearity

open access: yesJournal of Dairy Science, 2023
: In the United States, lactation milk yields are not measured directly but are calculated from the test-day milk yields. Still, test-day milk yields are estimated from partial yields obtained from single milkings.
Xiao-Lin Wu   +8 more
doaj   +1 more source

Applications of model structure determination to flight test data [PDF]

open access: yes, 1984
Several statistical and information criteria need to be considered when selecting an adequate model. Incorrect stability and control derivates result from inadequate aerodynamic model structure.
Batterson, J. G., Klein, V.
core   +1 more source

Functional additive regression

open access: yes, 2015
We suggest a new method, called Functional Additive Regression, or FAR, for efficiently performing high-dimensional functional regression. FAR extends the usual linear regression model involving a functional predictor, $X(t)$, and a scalar response, $Y$,
Fan, Yingying   +2 more
core   +1 more source

Generalized least squares estimates for mixture of nonlinear regressions

open access: yesBulletin of Taras Shevchenko National University of Kyiv. Series: Physics and Mathematics, 2018
We consider data in which each observed subject belongs to one of different subpopulations (components). The true number of component which a subject belongs to is unknown, but the researcher knows the probabilities that a subject belongs to a given component (concentration of the component in the mixture).
openaire   +2 more sources

Examining the relationship between CDAI and frailty and its manifestation in Parkinson’s disease: a cross-sectional study

open access: yesFrontiers in Nutrition
BackgroundHigher intake of antioxidants is associated with reduced risk of various chronic diseases. However, the relationship between composite dietary antioxidants and frailty has not been characterized, especially in neurodegenerative conditions like ...
Zhaohao Zeng   +21 more
doaj   +1 more source

Prediction of DNA Integrity from Morphological Parameters Using a Single‐Sperm DNA Fragmentation Index Assay

open access: yesAdvanced Science, 2019
Intracytoplasmic sperm injection is a popular form of in vitro fertilization, where single sperm are selected by a clinician and injected into an egg. Whereas clinicians employ general morphology‐based guidelines to select the healthiest‐looking sperm ...
Yihe Wang   +10 more
doaj   +1 more source

Effects of Omitting Non-confounding Predictors From General Relative-Risk Models for Binary Outcomes

open access: yesJournal of Epidemiology, 2019
Background: The effects, in terms of bias and precision, of omitting non-confounding predictive covariates from generalized linear models have been well studied, and it is known that such omission results in attenuation bias but increased precision with ...
John Cologne   +3 more
doaj   +1 more source

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