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Longitudinal data clustering methods: A Systematic Review

open access: yesJournal of Biostatistics and Epidemiology, 2023
 In the last few decades, in many research fields, different methods were introduced to discover groups with the same trends in longitudinal data. The clustering process is an unsupervised learning method, which classifies longitudinal data based on ...
Arefeh Dehghani tafti   +3 more
doaj   +1 more source

Determination of stable safflower genotypes in variable environments by parametric and non-parametric methods

open access: yesJournal of Agriculture and Food Research, 2021
Grain yield stability measurements under varied environmental conditions suggests selection of suitable genotype. Safflower genotypes having different origins were tested for G x E effects on yield using univariate and multivariate statistics in six test
Obaid Afzal   +4 more
doaj   +1 more source

Non-parametric and least squares Langley plot methods [PDF]

open access: yesAtmospheric Measurement Techniques, 2016
Langley plots are used to calibrate sun radiometers primarily for the measurement of the aerosol component of the atmosphere that attenuates (scatters and absorbs) incoming direct solar radiation.
P. W. Kiedron, J. J. Michalsky
doaj   +1 more source

Productivity of Services in the Countries of Central and Eastern Europe: Analysis Using Malmquist Indices

open access: yesEconomies, 2023
This research aims to study the growth of productivity in the service sector in the former Central and Eastern European Countries (CEECs) and their determinants.
Alejandro Alcalá-Ordóñez   +2 more
doaj   +1 more source

Tremor Detection Using Parametric and Non-Parametric Spectral Estimation Methods: A Comparison with Clinical Assessment. [PDF]

open access: yesPLoS ONE, 2016
In the clinic, tremor is diagnosed during a time-limited process in which patients are observed and the characteristics of tremor are visually assessed. For some tremor disorders, a more detailed analysis of these characteristics is needed. Accelerometry
Octavio Martinez Manzanera   +3 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

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

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

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

Inequality Measurement with Grouped Data: Parametric and Non-Parametric Methods [PDF]

open access: yesJournal of the Royal Statistical Society Series A: Statistics in Society, 2021
AbstractGrouped data in the form of income shares have conventionally been used to estimate income inequality due to the lack of individual records. We present a systematic evaluation of the performance of parametric distributions and non-parametric techniques to estimate economic inequality using more than 3300 data sets.
Jorda, Vanesa   +2 more
openaire   +2 more sources

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