Results 71 to 80 of about 970,726 (170)

The VARK Model Investigated at the Students from PPPE

open access: yesJournal of Educational Studies, 2019
Learning style can often be the „shadow witness” of students' academic performance. Understanding and knowing this aspect may facilitate the process of academic transformation, and in some cases may suggest better methods of teaching and reporting to ...
Mihai Covaci
doaj  

A Comparative Genomics Approach to the Identification of QTL Candidate Genes

open access: yesRevstat Statistical Journal, 2011
Despite rapid advances in sequencing technology, many commercially relevant species remain unsequenced, and many that are sequenced have very poorly annotated genomes.
Howsun Jow   +2 more
doaj   +1 more source

Testing for Zeros in the Spectrum of an Univariate Stationary Process: Part I. [PDF]

open access: yes
Non parametric and parametric estimation for the spectral density of a stationary process is a well-known topic, except when the spectrum vanishes for some frequency.
Lacroix, R.
core  

icenReg: Regression Models for Interval Censored Data in R

open access: yesJournal of Statistical Software, 2017
The non-parametric maximum likelihood estimator and semi-parametric regression models are fundamental estimators for interval censored data, along with standard fullyparametric regression models.
Clifford Anderson-Bergman
doaj   +1 more source

A non-parametric investigation of risk premia [PDF]

open access: yes
This paper investigates features of credit risk using non-parametric techniques, studying determinants of risk premia using a non-parametric term-structure model of the corporate spread. The model, which measures the extra return of defaultable corporate
Peroni, Chiara
core   +1 more source

Non Parametric Estimation of a Polarization Measure [PDF]

open access: yes
This paper develops a methodology for nonparametric estimation of a polarization measure due to Anderson Ge and Leo (2006) based on kernel estimation techniques.
Gordon Anderson   +2 more
core  

A Non-Parametric Spatial Independence Test Using Symbolic Entropy

open access: yesRect@, 2008
In the present paper, we construct a new, simple, consistent and powerful test forspatial independence, called the SG test, by using symbolic dynamics and symbolic entropyas a measure of spatial dependence. We also give a standard asymptotic distribution
López Hernández, Fernando   +1 more
doaj  

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