[Текст] : proc. of a conf. held on that topics at Schwerin, May 29 - June 4, 1983 / Edited by Dieter Rasch and Moti Lal Tiku. - Berlin : Deutscher Verlag der Wissenschaften, 1984. - 172 с. - 17.01 р.
Аннотация: This volume contains most of the invited and contributed papers presented at the Conference on Robustness of Statistical Methods and Nonparametric Statistics held in the castle of Schwerin, Mai 29 - June 4 1983. This conference was organized by the Mathematical Society of the GDR in cooperation with the Society of Physical and Mathematical Biology of the GDR, the GDR-Region of the International Biometric Society and the Academy of Agricultural Sciences of the GDR. All papers included were thoroughly reviewed by scientist listed under the heading "Editorial Collaboratories". Some contributios, we are sorry to report, were not recommended for publication by the reviewers and do not appear in these proceedings. The editors thank the reviewers for their valuable comments and suggestions. The conference was organized by a Programme Committee, its chairman was Prof. Dr. Dieter Rasch (Research Centre of Animal Production, Dummerstorf-Rostock). The members of the Programme Committee were Prof. Dr. Johannes Adam (Martin-Luther-University Halle), Prof. Dr. Heinz Ahrens (Academy of Sciences of the GDR, Berlin), Doz. Dr. Jana Jureckova (Charles University Praha), Prof. Dr. Moti Lal Tiku (McMaster University, Hamilton, Ontario). The aim of the conference was to discuss several aspects of robustness but mainly to present new results regurding the robustness of classicalstatistical methods especially
tests, confidence estimations, and selection procedures, and to compare their perfomance with nonparametric procrdures. Robustness in this sense is understood as intensitivity against violation of the normal assumption. Three approaches can be found: analytical approach for continuous distributions; combinatorial approach for k-point distributions; simulations in a system of distributions (Pearson system, Fleishmann system). The simulation studies were well designed and some papers deal with testing the pseudo-random number generators used. Most of the results have not been published elsewhere and appear in these proceeding for the first time. Some papers deal with the robustness issues on the lines of Huber although the main emphasis of the conference was to study robustness in the Pearson framework. Some papers deal with robust experimental designs and some with nonparametric methods (classification, estimations, etc.).
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