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Dickhaus

Lectures on Dependency

Selected Topics in Multivariate Statistics

Medium: Buch
ISBN: 978-3-030-96931-8
Verlag: Springer
Erscheinungstermin: 12.03.2022
Lieferfrist: bis zu 10 Tage

This short book elaborates on selected aspects of stochastic-statistical dependencies in multivariate statistics. Each chapter provides a rigorous and self-contained treatment of one specific topic, poses a particular problem within its scope, and concludes by presenting its solution. The presented problems are not only relevant for research in mathematical statistics, but also entertaining, with elegant proofs and appealing solutions. The chapters cover correlation coefficients of bivariate normal distributions, empirical likelihood ratio tests for the population correlation, the rearrangement algorithm, covariances of order statistics, equi-correlation matrices, skew-normal distributions and the weighted bootstrap. This book is primarily intended for early-career researchers in mathematical statistics, but will also be interesting for lecturers in the field. Its goal is to rouse the reader’s interest, further their knowledge of the subject and provide them with some useful mathematical techniques.


Produkteigenschaften


  • Artikelnummer: 9783030969318
  • Medium: Buch
  • ISBN: 978-3-030-96931-8
  • Verlag: Springer
  • Erscheinungstermin: 12.03.2022
  • Sprache(n): Englisch
  • Auflage: 1. Auflage 2022
  • Serie: SpringerBriefs in Statistics
  • Produktform: Kartoniert, Paperback
  • Gewicht: 138 g
  • Seiten: 56
  • Format (B x H x T): 155 x 235 x 5 mm
  • Ausgabetyp: Kein, Unbekannt
Autoren/Hrsg.

Autoren

Preface.- General preliminaries.- Correlation coefficients of bivariate normal distributions.- Empirical likelihood ratio tests for the population correlation coefficient.- The rearrangement algorithm.- On the covariances of order statistics.- On equi-correlation matrices.- Skew-normal distributions.- The weighted bootstrap.- index.