Results 121 to 130 of about 8,395,195 (223)

Predicting Gas Separation Efficiency of a Downhole Separator Using Machine Learning

Energies
Artificial lift systems, such as electrical submersible pumps and sucker rod pumps, frequently encounter operational challenges due to high gas–oil ratios, leading to premature tool failure and increased downtime.
Ashutosh Sharma, Laura Camila Osorio Ojeda, Na Yuan, Tunc Burak, Ishank Gupta, Nabe Konate, Hamidreza Karami   +6 more
doaj   +1 more source

Bootstrap Tests of Nonnested Linear Regression Models [PDF]

The J test for nonnested regression models often works badly as an asymptotic test, but it generally works very well when bootstrapped. We provide a theoretical analysis of the J test which explains both of these phenomena.
Russell Davidson, James G. MacKinnon
core  

Quantitative Analysis of Predictors of Acoustic Materials for Noise Reduction as Sustainable Strategies for Materials in the Automotive Industry

Applied Sciences
This study proposes a qualitative analysis for identifying the best predictors for ensuring passive noise control, aiming to achieve superior acoustic comfort in transportation systems.
Bianca-Mihaela Cășeriu, Manuela-Rozalia Gabor, Petruța Blaga, Cristina Veres   +3 more
doaj   +1 more source

Invariance properties for the error function used for multilinear regression.

, 2018
The connections between the error function used in multilinear regression and the expected, or assumed, properties of the data are investigated. It is shown that two of the most basic properties often required in data analysis, scale and rotational ...
Michael Caiola, Mark H Holmes
core   +1 more source

Semiparametric Robust Estimation of Truncated and Censored Regression Models [PDF]

Many estimation methods of truncated and censored regression models such as the maximum likelihood and symmetrically censored least squares (SCLS) are sensitive to outliers and data contamination as we document.
Cizek, P.
core  

Locally E-optimal designs for exponential regression models [PDF]

In this paper we investigate locally E- and c-optimal designs for exponential regression models of the form _k i=1 ai exp(??ix). We establish a numerical method for the construction of efficient and locally optimal designs, which is based on two results.
Dette, Holger, Pepelyshev, Andrey, Melas, Viatcheslav B.   +2 more
core  

A priori ratemaking using bivariate poisson regression models [PDF]

In automobile insurance, it is useful to achieve a priori ratemaking by resorting to generalized linear models, and here the Poisson regression model constitutes the most widely accepted basis. However, insurance companies distinguish between claims with
Lluis Bermúdez i Morata
core  

Efficient design of experiment for exponential regression models [PDF]

In this paper robust and efficient designs are derived for several exponential decay models. These models are widely used in chemistry, pharmacokinetics or microbiology.
Dette, Holger, Pepelyshev, Andrey, Martinez Lopez, Ignacio, Ortiz Rodriguez, Isabel M.   +3 more
core  

Social communication and brain network properties: cognitive predictors and modulation by autistic traits. [PDF]

Cogn Neurodyn
Valles-Capetillo E, Angeles-Valdez D, Giordano M, Kana RK.   +3 more
europepmc   +1 more source

Fractional regression models for second stage DEA efficiency analyses [PDF]

Data envelopment analysis (DEA) is commonly used to measure the relative efficiency of decision-making units. Often, in a second stage, a regression model is estimated to relate DEA efficiency scores to exogenous factors. In this paper, we argue that the
Joaquim J.S. Ramalho, Esmeralda A. Ramalho,, Pedro D. Henriques   +2 more
core