Results 21 to 30 of about 4,733,796 (328)

Bank Efficiency Assessment: A Bayesian Approach (Case Study of the Selected Banks of Iran) [PDF]

open access: yesفصلنامه پژوهش‌های اقتصادی ایران, 2020
The purpose of this research is to measure the efficiency of selected Iranian banks from 2010 to 2016. We estimate efficiency, productivity and efficiency changes under the Bayesian setting.
Mohammad Taghi Taghavifard   +2 more
doaj   +1 more source

Collective feature selection to identify crucial epistatic variants

open access: yesBioData Mining, 2018
Background Machine learning methods have gained popularity and practicality in identifying linear and non-linear effects of variants associated with complex disease/traits.
Shefali S. Verma   +10 more
doaj   +1 more source

MissForest - non-parametric missing value imputation for mixed-type data [PDF]

open access: yesBioinform., 2011
MOTIVATION Modern data acquisition based on high-throughput technology is often facing the problem of missing data. Algorithms commonly used in the analysis of such large-scale data often depend on a complete set.
D. Stekhoven, P. Bühlmann
semanticscholar   +1 more source

Non-parametric machine learning methods for interpolation of spatially varying non-stationary and non-Gaussian geotechnical properties

open access: yesGeoscience Frontiers, 2021
Spatial interpolation has been frequently encountered in earth sciences and engineering. A reasonable appraisal of subsurface heterogeneity plays a significant role in planning, risk assessment and decision making for geotechnical practice. Geostatistics
Chao Shi, Yu Wang
semanticscholar   +1 more source

TEST OF INTERACTION IN THE ANALYSIS OF MOLECULAR VARIANCE [PDF]

open access: yesBAG. Journal of Basic and Applied Genetics, 2019
The genomic diversity, expressed in the differences between molecular haplotypes of a group of individuals, can be divided into components of variability between and within some factor of classification of the individuals. For such variance partitioning,
Bruno C., Videla M.E., Balzarini M.
doaj   +1 more source

Parametric and Non Parametric Methods for Efficiency Assessment of State Higher Vocational Schools in 2009-2011

open access: yesEntrepreneurial Business and Economics Review, 2016
  Objective: As a great number of higher schools in Poland are financed from public resources, there arises a question about the adequacy of those schools' inputs to the obtained outputs. The aim of this paper is to examine the technical efficiency of 27
Lesław Rządziński, Anna Sworowska
doaj   +1 more source

Uncertainty analysis of a large break loss of coolant accident in a pressurized water reactor using non-parametric methods

open access: yesReliability Engineering & System Safety, 2018
The safety analysis of nuclear power plant is moving toward a realistic approach in which the simulations performed using best estimate computer codes must be accompanied by an uncertainty analysis, known as the Best Estimate Plus Uncertainties approach.
F. Sanchez-Saez   +4 more
semanticscholar   +1 more source

Risk Assessment in Monitoring of Water Analysis of a Brazilian River

open access: yesMolecules, 2022
This study aimed to introduce non-parametric tests and guard bands to assess the compliance of some river water properties with Brazilian environmental regulations. Due to the heterogeneity of the measurands pH, Biochemical Oxygen Demand (BOD), manganese
Luciene Pires Brandão   +3 more
doaj   +1 more source

Online identification of a two-mass system in frequency domain using a Kalman filter [PDF]

open access: yes, 2016
Some of the most widely recognized online parameter estimation techniques used in different servomechanism are the extended Kalman filter (EKF) and recursive least squares (RLS) methods.
Derammelaere, Stijn   +6 more
core   +3 more sources

Density estimation with non–parametric methods [PDF]

open access: yesAstronomy and Astrophysics Supplement Series, 1998
One key issue in several astrophysical problems is the evaluation of the density probability function underlying an observational discrete data set. We here review two non-parametric density estimators which recently appeared in the astrophysical literature, namely the adaptive kernel density estimator and the Maximum Penalized Likelihood technique ...
Fadda, Dario   +2 more
openaire   +2 more sources

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