- Rank Tests of Symmetry in Measurement Errors Models2010 | Faculty of Mathematics and Physics
- Rank tests and R-estimates in location model with measurement errors2012 | Faculty of Mathematics and Physics
- Behavior of R-estimators under measurement errors2016 | Faculty of Mathematics and Physics
- R-estimation of the parameters of a multiple regression model with measurement errors2012 | Faculty of Mathematics and Physics
- Tests of statistical hypotheses in measurement error modelsPublication without faculty affiliation
- Rank tests of symmetry and R-estimation of location parameter under measurement errors2011 | Faculty of Mathematics and Physics
- Rank tests and regression rank scores tests in measurement error modelsPublication without faculty affiliation
- What leads to measurement errors? Evidence from reports of program participation in three surveys +1Publication without faculty affiliation
- Rank tests and regression rank score tests in measurement error models2010 | Faculty of Mathematics and Physics
- Reliability and measurement errors of isokinetic strength in knee joint in extensio and flexion2012 | Faculty of Physical Education and Sport
- Confirmatory factor analysis and measurement error: A Monte Carlo simulation.2007 | Faculty of Physical Education and Sport
- Confirmatory factor analysis and measurement error: A Monte Carlo simulation2007 | Faculty of Physical Education and Sport
- R-estimation of regression parameters in measurement error models2009 | Faculty of Mathematics and Physics
- Additive hazards regression with covariate measurement error2000 | Faculty of Mathematics and Physics
- Statistical aspects of measurement error in labor demand data. Discussion paper series 4/97. +1Publication without faculty affiliation
- An empirical total survey error decomposition using data combination2021 | Faculty of Mathematics and Physics, Faculty of Social Sciences, Centre for Economic Research and Graduate Education
- An empirical total survey error decomposition using data combination +1Publication without faculty affiliation
- Using linked survey and administrative data to better measure income: implications for poverty, program effectiveness and holes in the safety netPublication without faculty affiliation
- Combining administrative and survey data to improve income measurementPublication without faculty affiliation
- Using linked survey and administrative data to better measure income : implications for poverty, program effectiveness and holes in the safety net2015 | Publication without faculty affiliation
- Correcting for misreporting of government benefitsPublication without faculty affiliation
- Creating improved survey data products using linked administrative-survey data2019 | Publication without faculty affiliation
- Misclassification in binary choice models2017 | Publication without faculty affiliation
- Errors in survey reporting and imputation and their effects on estimates of food stamp program participationPublication without faculty affiliation
- Errors in reporting and imputation of government benefits and their implications +1Publication without faculty affiliation
- Errors in Survey Reporting and Imputation and Their Effects on Estimates of Food Stamp Program Participation2022 | Publication without faculty affiliation