Mathematical Statistics and Probability Theory

Volume B Statistical Inference and Methods Proceedings of the 6th Pannonian Symposium on Mathematical Statistics, Bad Tatzmannsdorf, Austria, September 14-20, 1986
1987. Auflage 1987
ISBN: 978-90-277-2581-3
Verlag: Springer

Buch, Englisch, 280 Seiten, Format (B × H): 156 mm x 234 mm, Gewicht: 572 g

The past several years have seen the creation and extension of a very conclusive theory of statistics and probability. Many of the research workers who have been concerned with both probability and statistics felt the need for meetings that provide an opportunity for personal con­ tacts among scholars whose fields of specialization cover broad spectra in bothstatistics and probability: to discuss major open problems and new solutions, and to provide encouragement for further research through the lectures of carefully selected scholars, moreover to introduce to younger colleagues the latest research techniques and thus to stimulate their interest in research. To meet these goals, the series of Pannonian Symposia on Mathematical Statistics was organized, beginning in the year 1979: the first, second and fourth one in Bad Tatzmannsdorf, Burgenland, Austria, the third and fifth in Visegrad, Hungary. The Sixth Pannonian Symposium was held in Bad Tatzmannsdorf again, in the time between 14 and 20 September 1986, under the auspices of Dr. Heinz FISCHER, Federal Minister of Science and Research, Theodor KERY, President of the State Government of Burgenland, Dr. Franz SAUERZOPF, Vice-President of the State Govern­ ment of Burgenland and Dr. Josef SCHMIDL, President of the Austrian Sta­ tistical Central Office. The members of the Honorary Committee were Pal ERDOS, WXadisXaw ORLICZ, Pal REVESZ, Leopold SCHMETTERER and Istvan VINCZE; those of the Organizing Committee were Wilfried GROSSMANN (Uni­ versity of Vienna), Franz KONECNY (University of Agriculture of Vienna) and, as the chairman, Wolfgang WERTZ (Technical University of Vienna).

Zielgruppe

Research

Autoren/Hrsg.

Puri, Madan L

Révész, P.

Wertz, Wolfgang

Bauer, P.

Konecny, F.

Fachgebiete

• Mathematik | Informatik Mathematik Stochastik Stochastische Prozesse
• Mathematik | Informatik Mathematik Stochastik Mathematische Statistik
• Mathematik | Informatik Mathematik Stochastik Wahrscheinlichkeitsrechnung
• Mathematik | Informatik Mathematik Mathematische Analysis Elementare Analysis und Allgemeine Begriffe
• Interdisziplinäres Wissenschaften Wissenschaften: Forschung und Information Datenanalyse, Datenverarbeitung
• Mathematik | Informatik Mathematik Stochastik Elementare Stochastik

Inhaltsverzeichnis

Multivariate Extremal Models under Non-Classical Situations.- Large Deviations and Bahadur Efficiency of Some Rank Tests of Independence.- On Some Observing and Replacement Policies.- On Strong Consistency of Kernel Estimators under Dependence Assumptions.- A Limit Theorem for Some Modified Chi-Square Statistics when the Number of Classes Increases.- Problems and Results on Random Walks.- On the Maximum Likelihood Method for Censored Bivariate Samples.- A Characterization Theorem Based on Truncated Moments and its Application to Some Distribution Families.- A Class of Non-Parametrically Constructed Parameter Estimators for a Stationary Autoregressive Model.- Selecting the Best Unknown Mean from Normal Populations Having a Common Unknown Coefficient of Variation.- The Extreme Linear Predictions of the Matrix-Valued Stationary Stochastic Processes.- Multivariate B-Splines, Analysis of Contingency Tables and Serial Correlation.- Discrimination between Stationary Gaussian Time Series.- On Exponential Autoregressive Time Series Models.- Some Connections between Statistics and Control Theory.- Maximum Waiting Time when the Size of the Alphabet Increases.- On Bayes Inference in Contingency Tables.- Sequential Estimation Functions in Stochastic Population Processes.- Estimating Quadratic Polynomials with Applications to Square Root Normalizing Transformations.- A k-Sample Problem with Censored Data.- An Optimal k-Stopping Problem for the Poisson Process.- A Statistical Approach to Relaxation in Glassy Materials.- of Volume A.