Results 81 to 90 of about 123,594 (283)

Statistical shape modeling of the human inner ear through micro‐computed tomography imaging

open access: yesThe Anatomical Record, EarlyView.
In this study, 54 cadaveric temporal bone specimens underwent high‐resolution micro‐CT imaging. Images were semi‐automatically segmented and converted to 3D surface mesh models for morphological measurement and analysis. Statistical shape models were created for the inner ear, cochlea, and vestibular system, as well as for sex‐ and side‐based subgroups.
Carmine Spedaliere   +8 more
wiley   +1 more source

The ontogenetic allometry of body morphology and chemical composition in dairy goat wethers

open access: yesAnimal, 2018
We studied the ontogenetic growth of goat wethers (castrated male goats) of the Saanen and Swiss Alpine breeds based on a large range of intraspecific body mass (BM).
R.A.M. Vieira   +8 more
doaj   +1 more source

A Guide to Bayesian Optimization in Bioprocess Engineering

open access: yesBiotechnology and Bioengineering, EarlyView.
ABSTRACT Bayesian optimization has become widely popular across various experimental sciences due to its favorable attributes: it can handle noisy data, perform well with relatively small data sets, and provide adaptive suggestions for sequential experimentation.
Maximilian Siska   +5 more
wiley   +1 more source

Product Design Time Forecasting by Kernel-Based Regression with Gaussian Distribution Weights

open access: yesEntropy, 2016
There exist problems of small samples and heteroscedastic noise in design time forecasts. To solve them, a kernel-based regression with Gaussian distribution weights (GDW-KR) is proposed here.
Zhi-Gen Shang, Hong-Sen Yan
doaj   +1 more source

Do Food Stamps Cause Obesity? A Generalised Bayesian Instrumental Variable Approach in the Presence of Heteroscedasticity [PDF]

open access: yes
The impact of covariates on obesity in the US is investigated, with particular attention given to the role of the Supplemental Nutrition Assistance Program.
Balcombe, Kelvin, Salois, Matthew
core   +1 more source

Fear of grazing rivals the toxin‐inducing effects of nutrients in two marine harmful algae – a meta‐analysis

open access: yesBiological Reviews, EarlyView.
ABSTRACT One of the major subfields of chemical ecology is the study of toxins and how they mediate interactions between organisms. Toxins produced by harmful algae (phycotoxins) impact a wide variety of organisms connected to the marine food web. Significant research efforts have thus aimed to identify the ecological and evolutionary drivers behind ...
Milad Pourdanandeh, Erik Selander
wiley   +1 more source

Testing Heteroscedasticity In Nonparametric Regression

open access: yesJournal of the Royal Statistical Society Series B: Statistical Methodology, 1998
Summary The importance of being able to detect heteroscedasticity in regression is widely recognized because efficient inference for the regression function requires that heteroscedasticity is taken into account. In this paper a simple consistent test for heteroscedasticity is proposed in a nonparametric regression set-up.
Dette, H., Munk, Axel
openaire   +2 more sources

Estimation of Efficiency with the Stochastic Frontier Cost Function and Heteroscedasticity: A Monte Carlo Study [PDF]

open access: yes
The objective of this article is to address heteroscedasticity in the stochastic frontier cost function using aggregated data and verify it using a Monte Carlo study.
Brorsen, B. Wade   +2 more
core   +1 more source

Digital Technologies Disclosure and the Cost of Capital: The Mediating Role of Sustainability Performance

open access: yesBusiness Strategy and the Environment, EarlyView.
ABSTRACT This study examines the economic consequences of Digital Technologies Disclosure (DTD), focusing on its impact on the cost of capital. The increasing significance of digital transformation in shaping corporate strategies and market perceptions motivates the study.
Hussein Mohsen Saber Ahmed   +2 more
wiley   +1 more source

Robust Econometrics [PDF]

open access: yes
Econometrics often deals with data under, from the statistical point of view, non-standard conditions such as heteroscedasticity or measurement errors and the estimation methods need thus be either adopted to such conditions or be at least insensitive to
Pavel Cizek, Wolfgang Härdle
core  

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