Zobrazeno 1 - 10
of 109
pro vyhledávání: '"Hackl, Peter"'
Autor:
Hackl, Peter, Maderbacher, Michael
Even a modest positive autocorrelation results in a considerable increase in the number of false alarms that are produced when applying a CUSUM chart. Knowledge of the process to be controlled allows for suitable adaptation of the CUSUM procedure. If
Externí odkaz:
http://epub.wu.ac.at/1764/1/document.pdf
The maintenance and updating of Statistics Austria's business register requires a regularly matching of the register against other data sources; one of them is the register of tax units of the Austrian Federal Ministry of Finance. The matching proces
Externí odkaz:
http://epub.wu.ac.at/5630/1/415%2D1277%2D1%2DSM.pdf
Autor:
Hackl, Peter
We discuss the problem of optimal allocation of the design points of an experiment for the case where the trials may fail with non-zero probability. Numerical results for D-optimal designs are given for estimating the coefficients of a polynomial reg
Externí odkaz:
http://epub.wu.ac.at/68/1/document.pdf
Autor:
Hackl, Peter, Denk, Michaela
Within the DIECOFIS framework, ec3, the Division of Business Statistics from the Vienna University of Economics and Business Administration and ISTAT worked together to find methods to create a comprehensive database of enterprise data required for t
Externí odkaz:
http://epub.wu.ac.at/5631/1/435%2D1317%2D1%2DSM.pdf
Autor:
Denk, Michaela, Hackl, Peter
Data integration techniques are one of the core elements of DIECOFIS, an EU-funded international research project that aims at developing a methodology for the construction of a system of indicators on competitiveness and fiscal impact on enterprise
Externí odkaz:
http://epub.wu.ac.at/5632/1/464%2D1378%2D1%2DSM.pdf
Moving local regression is a nonparametric technique for smoothing, interpolating and forecasting by means of locally fitted regression models. The paper explores the "optimal" structure of the weight function, taking into account the location of sup
Externí odkaz:
http://epub.wu.ac.at/252/1/document.pdf
This paper empirically demonstrates the relative merits of the optimal choice of the weight function in a moving local regression as suggested by Fedorov et al., (1993) over traditional weight functions which ignore the form of the local model. The d
Externí odkaz:
http://epub.wu.ac.at/1510/1/document.pdf
Estimation procedures and optimal designs for estimation of the individual parameters and of the global parameters are discussed under various conditions of prior knowledge. The extension to nonlinear parametrization of the response function ís base
Externí odkaz:
http://epub.wu.ac.at/86/1/document.pdf