Conference B Statistical Sciences

Book

Conference B Statistical Sciences

Edited by: Volker Mammitzsch and Hans Schneeweiss

Part of the multi-volume work

Symposia Gaussiana

Language: English

Published/Copyright: 1995

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This book is in the series

De Gruyter Proceedings in Mathematics

Topics

Mathematics Probability and Statistics

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I-X
I

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Section 1: Probability Theory
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Asymptotic normality of the solutions of the multidimensional Burger equation with random data
1
Igor Deriev and Nikolay Leonenko

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Multivariate minimal moments
15
Tõnu Kollo and Dietrich von Rosen

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A geometric approach to the Gaussian law
25
Wolf-Dieter Richter

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Axiomatic foundations of the theory of interval-probability
47
Kurt Weichselberger

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Section 2: Probabilistic Expert Systems
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AKTALYST—a causal probabilistic expert system for stock market analysis
65
Matthias Barth

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Focusing and learning in possibilistic dependency networks
79
Jörg Gebhardt and Rudolf Kruse

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A Bayesian approach to imprecision in belief nets
91
Gernot D. Kleiter and Marianne Kardinal

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Causal probabilistic networks and their application to metabolic processes
107
Ulrich G. Oppel

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Maximum likelihood estimation and learning in large systems
131
Gerhard Winkler

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Section 3: Statistical Decision Theory
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An independence transformation in decision theory
145
Rudolf Avenhaus

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Set-valued decision functions and reduction of dimensionality by selection of variables
161
Eugen Grycko

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Empirical Bayes two-stage procedures for selecting the best normal population compared with a control
171
Shanti S. Gupta, TaChen Liang and Re-Bin Rau

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Four concepts in decision theory based on order completeness of L1
197
Detlef Plachky

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Admissibility conditions for estimators of exponential type functions
205
Andrew L. Rukhin

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Section 4: Simulation and Resampling
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Variance estimation in generalized linear models using the bootstrap
217
Herwig Friedl

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Using the jackknife in the analysis of contingency tables for the estimation of the common odds ratio
227
Iris Pigeot and Heinz Strugholtz

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A certain robustness for tests in the case of discrete distributions
239
Gerhard Welzl and Rupert Lasser

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Section 5: Linear Models and Design of Experiments
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Estimating linear measurement error models via M-estimation
247
Chi-Lun Cheng and Chih-Ling Tsai

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Bayesian generalized errors in variables (GEIV) models for censored regressions
261
Wolfgang Polasek

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Experimental design for linear models with higher interaction terms
281
Rainer Schwabe

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Missing values in regression: mixed and weighted mixed estmation
289
Helge Toutenburg, Christian Heumann, Andreas Fieger and Sung H. Park

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Section 9: General Methods and Applications
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The amount of information and the bound for the order of consistency for a location parameter family of densities
303
Masafumi Akahira

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An ordinal model for constructing a quadratic objective function of economic policy
313
Josef Gruber and Andranik Tanguiane

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Selection of prognostic factors concerning prospective studies with censored observations: comparison of Cox-regression and CART-method
331
Monika Stark and Hjalmar Nekarda

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Alphabetical List of Contributors
339

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Author Index
342

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Publishing information

Pages and Images/Illustrations in book

eBook published on:

May 9, 2011

eBook ISBN:

9783110883596

Hardcover published on:

July 14, 1995

Hardcover ISBN:

9783110144123

Edition:

Reprint 2011

Pages and Images/Illustrations in book

Front matter:

10

Main content:

341

Illustrations:

15

https://doi.org/10.1515/9783110883596

eBook ISBN: 9783110883596

Hardcover ISBN: 9783110144123

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Conference B Statistical Sciences

Overview

Topics

Table of contents

I-X

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

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

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

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

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

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

Bibliographic data