Lectures on Dependency

Selected Topics in Multivariate Statistics de

Éditeur :

Springer


Collection :

SpringerBriefs in Statistics

Paru le : 2022-03-11

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Description


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.
Pages
56 pages
Collection
SpringerBriefs in Statistics
Parution
2022-03-11
Marque
Springer
EAN papier
9783030969318
EAN PDF
9783030969325

Informations sur l'ebook
Nombre pages copiables
0
Nombre pages imprimables
5
Taille du fichier
1311 Ko
Prix
47,46 €
EAN EPUB
9783030969325

Informations sur l'ebook
Nombre pages copiables
0
Nombre pages imprimables
5
Taille du fichier
3707 Ko
Prix
47,46 €