Zobrazeno 1 - 10
of 50
pro vyhledávání: '"Rudolf Dutter"'
Autor:
Johann Pfanzagl, Andreas Quatember, Bernhard Böhm, Ulrike Leopold-Wildburger, Norbert Kusolitsch, Christine Duller, Walter Katzenbeisser, Karl Schableger, Rudolf Dutter
Publikováno v:
Austrian Journal of Statistics, Vol 26, Iss 1 (2016)
Mathematische Statistik II. (H. Witting, U. Müller-Funk) Schließende Statistik. (W. Polasek) The New Statistical Analysis of Data. (T.W. Anderson, J.D. Finn) Grundbegriffe der Biometrie. (R.J. Lorenz) Vorlesungen über Wahrscheinlichkeitstheori
Externí odkaz:
https://doaj.org/article/61e4c778eece4ff88fa996ff6d4ea668
Publikováno v:
Austrian Journal of Statistics, Vol 29, Iss 1 (2016)
An der Technischen UniversitätWien wurde im Herbst 1997 eine Befragung der Absolventinnen und Absolventen der Studienrichtung TechnischeMathematik durchgeführt. Die Auswertungsergebnisse werden in diesem Artikel vorgestellt.
Externí odkaz:
https://doaj.org/article/b058dce615504fe4bc9fc90276527939
Autor:
Bernhard Spangl, Rudolf Dutter
Publikováno v:
Austrian Journal of Statistics, Vol 34, Iss 2 (2016)
Let us consider the problem of robust spectral density estimation. Conventional methods to obtain estimates of spectral density function are not robust in the presence of outlying observations. We present different methods to robustly estimate the sp
Externí odkaz:
https://doaj.org/article/bc46b05113bc4204a92b655e2bcef2cc
Autor:
Rudolf Dutter
Publikováno v:
Austrian Journal of Statistics, Vol 40, Iss 1&2 (2016)
This paper is on the basis of DAS+R, a package of R still under development using a graphical user interface which should ease the application of more or less sophisticated methods. It is heavily relying on Reimann, Filzmoser, Garrett, and Dutter (20
Externí odkaz:
https://doaj.org/article/6714738c07f245669542847e2c18dd5b
Autor:
Bernhard Spangl, Rudolf Dutter
Publikováno v:
Revstat Statistical Journal, Vol 5, Iss 1 (2007)
We consider in the following the problem of robust spectral density estimation. Unfortunately, conventional spectral density estimators are not robust in the presence of additive outliers (cf. [18]). In order to get a robust estimate of the spectral
Externí odkaz:
https://doaj.org/article/7c86002257504a5bbe25bff3fecde5f4
Autor:
Rudolf Dutter, Bernhard Spangl
Publikováno v:
Austrian Journal of Statistics, Vol 34, Iss 2 (2016)
Let us consider the problem of robust spectral density estimation. Conventional methods to obtain estimates of spectral density function are not robust in the presence of outlying observations. We present different methods to robustly estimate the sp
Autor:
Rudolf Dutter
Publikováno v:
DIe Fakultät für Mathematik und Geoinformation
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0ab1f2dd24cedafcbd37f15dba9b86de
https://doi.org/10.7767/9783205202288-030
https://doi.org/10.7767/9783205202288-030
Autor:
Rudolf Dutter, Wilfried Grossmann
This book assembles papers which were presented at the biennial sympo sium in Computational Statistics held und er the a!uspices of the International Association for Statistical Computing (IASC), a section of ISI, the Interna tional Statistical I
Autor:
Alexander Ploner, Rudolf Dutter
Publikováno v:
Journal of Statistical Planning and Inference. 91:499-509
Traditionally, the variogram function has been the geostatistician's tool of choice for modelling the correlation structure of spatially dependent observations. While the use of the variogram does not explicitly depend on distributional assumptions,
Aspects of Robust Statistics are important in many areas. Based on the International Conference on Robust Statistics 2001 (ICORS 2001) in Vorau, Austria, this volume discusses future directions of the discipline, bringing together leading scientists,