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46 942 (0,348s)

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Finite-Sample Behavior of GLFP-Based Estimators for EIV Regression Models: A Case with Restricted Parameter Space

Main topics of the document: Errors-in-Variables regression; bounded errors; generalized linear-fractional programming...

AE - Řízení, správa a administrativa

  • 2016
  • D
Result

Uncertainly in School Examinations: Estimation of Examinator's Bias Parameters

Main topics of the document: uncertainty; statistical inference; errors-in-variable...

Statistics and probability

  • 2017
  • D
  • Link
Result

Asymptotics for weakly dependent errors-in-variables

Linear relations, containing measurement errors in input and output data, are taken into account in this paper. Parameters of these so-called errors-in-variables realistic situations, the errors cannot be considere...

BA - Obecná matematika

  • 2013
  • Jx
Result

Heteroscedastic regression in robust econometrics

This paper studies asymptotic versions of heteroscedasticity tests for random regression errors for the instrumental weighted variables estimator, which is a robustification of the instrumental variables with a high breakdo...

BB - Aplikovaná statistika, operační výzkum

  • 2009
  • D
Result

Errors transmission and head-on collisions

The paper deals with errors transmission by the head-on collisions analysis and with the input variables influance on the accuracy of the ressult....

AQ - Bezpečnost a ochrana zdraví, člověk – stroj

  • 2010
  • Jx
Result

Unitarily invariant errors-in-variables estimation

Linear relations, containing measurement errors in input and output data, are considered. Parameters of these errors-in-variables (EIV) models can be estimated the Frobenius norm of the error matrix. An extension o...

BA - Obecná matematika

  • 2016
  • Jx
  • Link
Result

Block bootstrap for dependent errors-in-variables

Alinear errors-in-variables (EIV) model that contains measurement errors in the input and output data is considered. Weakly dependent (- and phi-mixing) errors, not necessarily stationary nor identically distribute...

Statistics and probability

  • 2017
  • Jimp
  • Link
Result

OEFPIL: New Method and Software Tool for Fitting Nonlinear Functions to Correlated Data With Errors in Variables

We present a new method, called OEFPIL, as well as its software implementation for nonlinear function fitting to data with errors in variables where correlation, both within variables and among variables, might be ...

Statistics and probability

  • 2023
  • D
  • Link
Result

Univariate linear calibration via replicated errors-in-variables model

Solved is a comparative calibration problem, proposed is an approximate, small sample calibration confidence interval for the true unknown measured substance in units of the more precis measuring instrument....

BB - Aplikovaná statistika, operační výzkum

  • 2007
  • Jx
Result

Errors transmission at analysis of vehicles collision on the crossroad

The paper deals with errors transmission by the analysis of vehicles collision on the crossroad and with the input variables influence on the accuracy of the result....

AQ - Bezpečnost a ochrana zdraví, člověk – stroj

  • 2010
  • Jx
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