Multivariate statistics : proceedings of the 6th Tartu Conference, Tartu, Estonia, 19-22 August 1999 /

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Bibliographic Details
Meeting name:Tartu Conference on Multivariate Statistics (6th : 1999 : Tartu, Estonia)
Imprint:Utrecht, Netherlands : VSP ; Vilnius, Lithuania : TEV, 2000.
Description:1 online resource (223 pages) : illustrations
Language:English
Series:New trends in probability and statistics ; v. 5
New trends in probability and statistics ; v. 5.
Subject:
Format: E-Resource Book
URL for this record:http://pi.lib.uchicago.edu/1001/cat/bib/11169405
Hidden Bibliographic Details
Varying Form of Title:Proceedings of the 6th Tartu Conference
Other authors / contributors:Kollo, T. (Tynu)
Tiit, E. (Ene)
Srivastava, M. S.
ISBN:9783110944655
3110944650
9067643297
9986546850
9789067643290
Digital file characteristics:data file
Notes:Includes bibliographical references.
English.
Other form:Print version: Tartu Conference on Multivariate Statistics (6th : 1999 : Tartu, Estonia). Multivariate statistics. Utrecht, Netherlands : VSP ; Vilnius, Lithuania : TEV, 2000
Table of Contents:
  • Preface
  • Estimation in the extended linear model
  • Discrete optimization of statistical sample sizes in simulation by using the hierarchical resampling method
  • Kernel-type estimation of bivariate distribution function for associated random variables
  • On local dependence function for multivariate distributions
  • The tuning constant problem in regression type models
  • The usefulness of uniformity in experimental design
  • Approximation of distributions by sphere
  • Econometric modeling of the Lithuanian economy
  • Non-null distribution of LÃ?uterâ€?s F-statistic: A simulation studyZero-boundary Voronoi partitions
  • On expected values of fourth-degree matrix products of a multinormal matrix variate
  • A multivariate Buckley-James estimator
  • A new algorithm of the linear discriminant function using integer programming
  • Robustification of “approximating approachâ€? in simultaneous equations models
  • Data compression and statistical inference
  • Estimation the poverty line as a problem of multivariate statistics
  • Dependence structure of a multivariate distribution characterised by the correlation matrixApproximation of multivariate probability functions by empirical marginal distributions and dependence measures
  • Sampling design as a multivariate distribution
  • Class of sampling designs with given marginals
  • A remark on the extended growth curve model