Symposia Gaussiana : : Proceedings of the 2nd Gauss Symposium, August 2-7, 1993, Munich. / Conference B, : Statistical Sciences / / ed. by Hans Schneeweiss, Volker Mammitzsch.

• Superior document: Title is part of eBook package: De Gruyter DGBA Mathematics - 1990 - 1999
• MitwirkendeR: Akahira, Masafumi,; Avenhaus, Rudolf,; Barth, Matthias,; Cheng, Chi-Lun,; Deriev, Igor,; Fieger, Andreas,; Friedl, Herwig,; Gebhardt, Jörg,; Gruber, Josef,; Grycko, Eugen,; Gupta, Shanti S.,; Heumann, Christian,; Kardinal, Marianne,; Kleiter, Gernot D.,; Kollo, Tõnu,; Kruse, Rudolf,; Lasser, Rupert,; Leonenko, Nikolay,; Liang, TaChen,; Nekarda, Hjalmar,; Oppel, Ulrich G.,; Park, Sung H.,; Pigeot, Iris,; Plachky, Detlef,; Polasek, Wolfgang,; Rau, Re-Bin,; Richter, Wolf-Dieter,; Rosen, Dietrich von,; Rukhin, Andrew L.,; Schwabe, Rainer,; Stark, Monika,; Strugholtz, Heinz,; Tanguiane, Andranik,; Toutenburg, Helge,; Tsai, Chih-Ling,; Weichselberger, Kurt,; Welzl, Gerhard,; Winkler, Gerhard,
• HerausgeberIn: Mammitzsch, Volker,; Schneeweiss, Hans,
• Place / Publishing House: Berlin ;, Boston : : De Gruyter, , [2011]; ©1995
• Ano de Publicação: 2011
• Edição: Reprint 2011
• Idioma: English
• coleção: De Gruyter Proceedings in Mathematics ; Conference B
• Descrição Física: 1 online resource (341 p.)

Table of Contents

• I-X
• Section 1: Probability Theory
• Asymptotic normality of the solutions of the multidimensional Burger equation with random data
• Multivariate minimal moments
• A geometric approach to the Gaussian law
• Axiomatic foundations of the theory of interval-probability
• Section 2: Probabilistic Expert Systems
• AKTALYST—a causal probabilistic expert system for stock market analysis
• Focusing and learning in possibilistic dependency networks
• A Bayesian approach to imprecision in belief nets
• Causal probabilistic networks and their application to metabolic processes
• Maximum likelihood estimation and learning in large systems
• Section 3: Statistical Decision Theory
• An independence transformation in decision theory
• Set-valued decision functions and reduction of dimensionality by selection of variables
• Empirical Bayes two-stage procedures for selecting the best normal population compared with a control
• Four concepts in decision theory based on order completeness of L1
• Admissibility conditions for estimators of exponential type functions
• Section 4: Simulation and Resampling
• Variance estimation in generalized linear models using the bootstrap
• Using the jackknife in the analysis of contingency tables for the estimation of the common odds ratio
• A certain robustness for tests in the case of discrete distributions
• Section 5: Linear Models and Design of Experiments
• Estimating linear measurement error models via M-estimation
• Bayesian generalized errors in variables (GEIV) models for censored regressions
• Experimental design for linear models with higher interaction terms
• Missing values in regression: mixed and weighted mixed estmation
• Section 9: General Methods and Applications
• The amount of information and the bound for the order of consistency for a location parameter family of densities
• An ordinal model for constructing a quadratic objective function of economic policy
• Selection of prognostic factors concerning prospective studies with censored observations: comparison of Cox-regression and CART-method
• Alphabetical List of Contributors
• Author Index