Results 101 to 110 of about 9,169 (255)

Hybrid machine learning and genetic algorithm approach for catalyst and process optimization in Fischer–Tropsch synthesis toward sustainable fuel production

open access: yesThe Canadian Journal of Chemical Engineering, EarlyView.
Graphical representation of a data‐driven framework for Fischer‐Tropsch synthesis (FTS) modelling and optimization. Abstract This study presents a data‐driven approach for predicting the relationships between catalyst design, process conditions, and product selectivity in Fischer–Tropsch synthesis (FTS).
Doaa M. Hassan   +2 more
wiley   +1 more source

Maximum Score Type Estimators [PDF]

open access: yes
This paper presents maximum score type estimators for linear, binomial, tobit and truncated regression models. These estimators estimate the normalized vector of slopes and do not provide the estimator of intercept, although it may appear in the model ...
Marcin Owczarczuk
core  

Bootstrap methods in computer simulation experiments

open access: yes, 1995
We critically review the work that has been done in applying basic, smoothed and parametric bootstrap methods to simulation experiments. We develop a framework to classify bootstrap methods in this context and use it to compare various bootstrap schemes.
Russell C. H. Cheng, Cheng, Russell C.H.
core   +1 more source

Harnessing machine learning and optimization for informed chemical engineering decisions: A styrene reactor analysis

open access: yesThe Canadian Journal of Chemical Engineering, EarlyView.
This study shows that integrating multiple machine learning models with optimization and decision‐making improves chemical process design, and that a consensus‐based strategy across models provides more robust and reliable operating recommendations than any single model, especially under limited or noisy data conditions.
Farough Agin   +2 more
wiley   +1 more source

Hidden Markov graphical models with state‐dependent generalized hyperbolic distributions

open access: yesCanadian Journal of Statistics, EarlyView.
Abstract In this article, we develop a novel hidden Markov graphical model to investigate time‐varying interconnectedness between different financial markets. To identify conditional correlation structures under varying market conditions and accommodate shape features embedded in financial time series, we rely upon the generalized hyperbolic family of ...
Beatrice Foroni   +2 more
wiley   +1 more source

Non Parametric Confidence Intervals for Receiver Operating Characteristic Curves [PDF]

open access: yes
We study methods for constructing confidence intervals, and confidence bands, for estimators of receiver operating characteristics. Particular emphasis is placed on the way in which smoothing should be implemented, when estimating either the ...
Rob J. Hyndman, Yanan Fan, Peter G. Hall
core  

Length-of-stay times in hospital for COVID-19 patients using the smoothed Beran's estimator with bootstrap bandwidth selection

open access: yes, 2023
The survival function of length-of-stay in hospital ward and ICU for COVID-19 patients is studied in this paper. Flexible statistical methods are used to estimate this survival function given relevant covariates such as age, sex, obesity and chronic ...
Cao, Ricardo   +2 more
core  

Stability of Viscous Three‐Dimensional Stratified Couette Flow via Dispersion and Mixing

open access: yesCommunications on Pure and Applied Mathematics, EarlyView.
ABSTRACT This article explores the stability of stratified Couette flow in the viscous 3d$3d$ Boussinesq equations. In this system, mixing effects arise from the shearing background, and gravity acts as a restoring force leading to dispersive internal gravity waves.
Michele Coti Zelati   +2 more
wiley   +1 more source

A smoothed bootstrap test for independence based on mutual information

open access: yes
A test for independence of multivariate time series based on the mutual information measure is proposed. First of all, a test for independence between two variables based on i.i.d.
Wu, Edmond H.C.   +2 more
core  

Do ESG‐Related Managerial Capabilities Pay Off for SMEs? Evidence From the Small and Medium‐Sized Enterprise ESG Capability Measure (SM‐ESG)

open access: yesCorporate Social Responsibility and Environmental Management, EarlyView.
ABSTRACT Large companies have a long track record of environmental, social, and governance (ESG) initiatives, whereas many small and medium‐sized enterprises (SMEs) lag in adopting sustainability‐related practices, often acting voluntarily or in response to stakeholder pressures and incentives.
Vivien Csapi   +4 more
wiley   +1 more source

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