Determination of measurement errors as per space change

Gravimetric determination of pipette errors

In chemical measurements (for instance in titrimetric analysis) it is very important to precisely measure amount of liquid, the measurement is performed with use of various measuring vessels. Presently laboratories use all kinds of glass measuring vessels like: beakers, flasks, etc., for measurement of bigger volumes of liquid, and in case of small volumes glass pipettes. Glass pipettes have be...

Modelling measurement errors

Models are developed to adjust for measurement errors in Normally distributed predictor and response variables and categorical predictors with misclassification errors. The models allow for a hierarchical data structure and for correlations among the errors and misclassifications. MCMC estimation is used and implemented in a set of MATLAB macros.

Nonlinear Models of Measurement Errors

Measure errors in economic data are pervasive and nontrivial in size. The presence of measurement errors causes biased and inconsistent parameter estimates and leads to erroneous conclusions to various degrees in economic analysis. The importance of measurement errors in analyzing the empirical implications of economic theories is highlighted in Milton Friedman’s seminal book on the consumption...

Modeling of Heteroscedastic Measurement Errors

Instrumental Variables Regression with Measurement Errors and Multicollinearity in Instruments

In this paper we obtain a consistent estimator when there exist some measurement errors and multicollinearity in the instrumental variables in a two stage least square estimation of parameters. We investigate the asymptotic distribution of the proposed estimator and discuss its properties using some theoretical proofs and a simulation study. A real numerical application is also provided for mor...