Rudolf Dutter Livres

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, experienced researchers and practitioners, as well as younger researchers. The papers cover a multitude of different aspects of Robust Statistics. For instance, the fundamental problem of data summary (weights of evidence) is considered and its robustness properties are studied. Further theoretical subjects include e. g.: robust methods for skewness, time series, longitudinal data, multivariate methods, and tests. Some papers deal with computational aspects and algorithms. Finally, the aspects of application and programming tools complete the volume.

Das optimale Bindeglied zwischen dem angehenden Jungjäger, dem Vortragenden im Jagdkurs und dem Prüfer - quer durch ganz Österreich. Darüber hinaus wird dieses Werk auch weiterhin dem gestandenen Jäger kompetent Auskunft geben in allen Fragen, die sich in seinem Jägerleben stellen.

We deal with robust spectral density estimation and its application to the analysis of heart rate variability. As classical spectral density estimators are sensitive to outlying observations, robustness is an issue. Hence, we focus on the problem of estimating the spectral density function robustly and present different methods, existing and new ones, that are resistant to outliers. In order to get a reliable estimate of the spectral density function, that is insensitive to outlying observations, it turned out that cleaning the time series in a robust way first and calculating the spectral density function afterwards leads to encouraging results. The data-cleaning operation wherein the robustness is introduced, is accomplished by a robustified version of the Kalman filter. In addition a new multivariate approximate conditional-mean type filter for state-space models is proposed. All presented methods are implemented in the open source language R and compared by extensive simulation studies. The most competitive method is also applied to actual heart rate variability data of diabetic patients with different degrees of cardiovascular autonomic neuropathy.

This book compiles papers presented at the biennial symposium in Computational Statistics, organized by the International Association for Statistical Computing (IASC) and held in Vienna. COMPSTAT '94 marks the continuation of a series that began in 1974, with previous symposia in cities such as Berlin, Leiden, and Edinburgh. Celebrating its 20th anniversary in Vienna, the event highlights a shift from traditional computational statistics, which focused on quick and reliable results, to more advanced techniques. These include computationally intensive methods like resampling, Bayesian approaches, dynamic graphics, and emerging fields such as neural networks and spatial statistics, addressing challenges posed by large data sets and innovative analysis strategies. New guidelines established by the IASC were implemented for this symposium, aiming to revitalize the spirit of the inaugural COMPSTAT '74 while maintaining the tradition and continuity of the series.

Inhaltsverzeichnis1. Geostatistik und Anwendungen, Überblick.1.1 Erschliessung einer Lagerstätte.1.2 Einführung in die Geostatistik.1.3 Typische Fragestellungen.2. Statistische Grundbegriffe.2.1 Graphische Darstellungen.2.2 Kenngrössen von Verteilungen.2.3 Einige theoretische Verteilungen.3. Regionalisierte Variable.3.1 Momente, Variogramme.3.2 Stochastische Annahmen.3.3 Berechnung eines einfachen Variogramms.4. Das Variogramm.4.1 Strukturelle Eigenschaften des Variogramms.4.2 Berechnung des Variogramms.4.3 Variogramm-Modelle und ihre Anpassung.5. Varianzen und Regularisierung.5.1 Schätzfehler, Schätzvarianz.5.2 Streuungsvarianz (dispersion variance).5.3 Regularisierung.6. Schätzen von Ressourcen.6.1 Der Krige-Schätzer.6.2 Punkt-Krigen.6.3 Block-Krigen.6.4 Fallstudie: 3-dimensionales Krigen mit den Computerprogrammen GEOSLIB.6.5 Fallstudie: Krigen einer Kohlenlagerstätte.7. Simulation von Lagerstätten.7.1 Bedingte Simulation.7.2 Bedingen einer Simulation.7.3 Simulation einer Zufallsfunktion.7.4 Fallstudie: Kohlenlagerstätte.8. Literaturverzeichnis.9. Anhang. Tabelle der N(0,1)-Verteilung.