The random errors in the measurement process, called measurement error or
misclassification, are inevitable and cause bias and inconsistent parameter estimates …

While most of the literature on measurement error focuses on additive measurement error,
we consider in this paper the multiplicative case. We apply the Simulation Extrapolation …

Estimation of linear models with anonymised panel data Page 1 AStA Adv Stat Anal (2008) 92:
423–438 DOI 10.1007/s10182-008-0088-8 ORIGINAL PAPER Estimation of linear models with …

Small area estimation is an arena that has seen rapid development in the past 50 years, due
to its widespread applicability in government projects, marketing research and many other …

This thesis was motivated by data from the Emerging Risk Factors Collaboration (ERFC), a
large individual participant data (IPD) meta-analysis of risk factors for coronary heart disease …

Background The Wismut cohort consists of a sample of 58 974 male employees from around
400 000 former employees of the Wismut company. The employees were exposed to …

Whereas the literature on additive measurement error has known a considerable treatment,
less work has been done for multiplicative noise. In this paper we concentrate on …

This dissertation explores the development of a system identification method for Switching
ARX (SARX) models for Off-line and Online applications. The switching sequence in SARX …

Seit einiger Zeit ist es für Wissenschaftler/innen in Deutschland möglich geworden, einige
Betriebs-und Unternehmensdaten der amtlichen Statistik am eigenen Arbeitsplatz als …

In order to guarantee confidentiality and privacy of firm-level data, statistical offices apply
various disclosure limitation techniques. However, each anonymization technique has its …