Buscar
Mostrando ítems 1-10 de 2384
Improved maximum likelihood estimators in a heteroskedastic errors-in-variables model
(SPRINGER, 2011)
This paper develops a bias correction scheme for a multivariate heteroskedastic errors-in-variables model. The applicability of this model is justified in areas such as astrophysics, epidemiology and analytical chemistry, ...
Learner attitudes toward error correction in a beginners English class
(Instituto Tecnológico de Costa Rica, 2013)
Measurement error models with a general class of error distribution
(TAYLOR & FRANCIS LTD, 2010)
In general, the normal distribution is assumed for the surrogate of the true covariates in the classical error model. This paper considers a class of distributions, which includes the normal one, for the variables subject ...
Market integration for Chilean wheat prices using Vector Error Correction Models (VECM), a cointegration analysis
(PONTIFICIA UNIVERSIDAD CATOLICA CHILE, FAC AGRONOMIA INGENIERIA FORESTAL,, 2012)
Elliptical structural models
(MARCEL DEKKER INC, 1996)
In this paper we consider structural measurement error models within the elliptical family of distributions. We consider dependent and independent elliptical models, each of which requires special treatment methodology. ...
Market integration for Chilean wheat prices using Vector Error Correction Models (VECM), a cointegration analysis: análisis de cointegración
(Pontificia Universidad Católica de Chile. Facultad de Agronomía e Ingeniería Forestal, 2011)
Reverse Transcription Errors and RNA-DNA Differences at Short Tandem Repeats
(2016-07-12)
Transcript variation has important implications for organismal function in health and disease. Most transcriptome studies focus on assessing variation in gene expression levels and isoform representation. Variation at the ...
Reverse Transcription Errors and RNA-DNA Differences at Short Tandem Repeats
(2016-07-12)
Transcript variation has important implications for organismal function in health and disease. Most transcriptome studies focus on assessing variation in gene expression levels and isoform representation. Variation at the ...
Testing homogeneity inWeibull error in variablesmodels
(Wiley, 2020)