activity
20142026
most citedBehavior of R-estimators under measurement errors

8 citations · 10 across the 8 of their papers we have counts for

collaborators

8 papers

stat.ME2026

R-estimation in a Linear Model with Autoregressive Errors

Jana Jurečková, Hira Koul, Jan Picek

In the linear regression model, we construct a nonparametric estimate of the regression parameter vector $\boldgreekβ$ that is insensitive to a possible nuisance autoregression in…

stat.ME2026

Estimation of the Risk Measure under a Nuisance Autoregression

Jana Jurečková, Jan Picek

The goal of an experiment is to evaluate the profit, loss, or the amount of a physical entity over a period. The measurements can be influenced by the values measured in the…

stat.ME2024

Estimation of Quantile Functionals in Linear Model

Jana Jurečková, Jan Picek, Jan Kalina

Various indicators and measures of the real life procedures rise up as functionals of the quantile process of a parent random variable Z. However, Z can be observed only through a…

math.ST2020

Nonparametric Tests in Linear Model with Autoregressive Errors

Olcay Arslan, Yesim Güney, Jana Jureckova +1

In the linear regression model with possibly autoregressive errors, we propose a family of nonparametric tests for regression under a nuisance autoregression. The tests avoid the e…

math.ST2017★ 1 cited

Empirical regression quantile process with possible application to risk analysis

Jana Jurečková, Martin Schindler, Jan Picek

The processes of the averaged regression quantiles and of their modifications provide useful tools in the regression models when the covariates are not fully under our control. As…

math.ST2015

Affine equivariant rank-weighted L-estimation of multivariate location

Pranab Kumar Sen, Jana Jureckova, Jan Picek

In the multivariate one-sample location model, we propose a class of flexible robust, affine-equivariant L-estimators of location, for distributions invoking affine-invariance of M…

math.ST2015★ 1 cited

Rank tests for corrupted linear models

Pranab K. Sen, Jana Jureckova, Jan Picek

For some variants of regression models, including partial, measurement error or error-in-variables, latent effects, semi-parametric and otherwise corrupted linear models, the class…

math.ST2014★ 8 cited

Behavior of R-estimators under measurement errors

Jana Jurečková, Hira L. Koul, Radim Navrátil +1

As was shown recently, the measurement errors in regressors affect only the power of the rank test, but not its critical region. Noting that, we study the effect of measurement err…