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Lectures on dependency = selected to...

Dickhaus, Thorsten.

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Lectures on dependency = selected topics in multivariate statistics /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Lectures on dependency/ by Thorsten Dickhaus.
Reminder of title:	selected topics in multivariate statistics /
Author:	Dickhaus, Thorsten.
Published:	Cham :Springer International Publishing : : 2022.,
Description:	xiv, 56 p. :ill., digital ;24 cm.
[NT 15003449]:	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.
Contained By:	Springer Nature eBook
Subject:	Multivariate analysis. -
Online resource:	https://doi.org/10.1007/978-3-030-96932-5
ISBN:	9783030969325

Lectures on dependency = selected topics in multivariate statistics /
Dickhaus, Thorsten.

Lectures on dependencyselected topics in multivariate statistics /[electronic resource] :by Thorsten Dickhaus. - Cham :Springer International Publishing :2022. - xiv, 56 p. :ill., digital ;24 cm. - SpringerBriefs in statistics,2191-5458. - SpringerBriefs in statistics..

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.

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.

ISBN: 9783030969325

Standard No.: 10.1007/978-3-030-96932-5doiSubjects--Topical Terms:

517467
Multivariate analysis.

LC Class. No.: QA278 / .D53 2022

Dewey Class. No.: 519.535

Lectures on dependency = selected topics in multivariate statistics /
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490 1 $a SpringerBriefs in statistics, $x 2191-5458
505 0 $a 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.
520 $a 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.
650 0 $a Multivariate analysis. $3 517467
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