找回密码
 To register

QQ登录

只需一步,快速开始

扫一扫,访问微社区

Titlebook: Lectures on Dependency; Selected Topics in M Thorsten Dickhaus Book 2022 The Author(s), under exclusive licence to Springer Nature Switzerl

[复制链接]
查看: 32449|回复: 42
发表于 2025-3-21 19:56:12 | 显示全部楼层 |阅读模式
书目名称Lectures on Dependency
副标题Selected Topics in M
编辑Thorsten Dickhaus
视频video
概述Elaborates on various selected aspects of stochastic-statistical dependencies.Each chapter solves a specific problem within the scope of a single lecture session.Provides PhD students with useful and
丛书名称SpringerBriefs in Statistics
图书封面Titlebook: Lectures on Dependency; Selected Topics in M Thorsten Dickhaus Book 2022 The Author(s), under exclusive licence to Springer Nature Switzerl
描述.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. .
出版日期Book 2022
关键词dependence; copula; covariance; correlation; normal distribution; multivariate statistics; population corr
版次1
doihttps://doi.org/10.1007/978-3-030-96932-5
isbn_softcover978-3-030-96931-8
isbn_ebook978-3-030-96932-5Series ISSN 2191-544X Series E-ISSN 2191-5458
issn_series 2191-544X
copyrightThe Author(s), under exclusive licence to Springer Nature Switzerland AG 2022
The information of publication is updating

书目名称Lectures on Dependency影响因子(影响力)




书目名称Lectures on Dependency影响因子(影响力)学科排名




书目名称Lectures on Dependency网络公开度




书目名称Lectures on Dependency网络公开度学科排名




书目名称Lectures on Dependency被引频次




书目名称Lectures on Dependency被引频次学科排名




书目名称Lectures on Dependency年度引用




书目名称Lectures on Dependency年度引用学科排名




书目名称Lectures on Dependency读者反馈




书目名称Lectures on Dependency读者反馈学科排名




单选投票, 共有 0 人参与投票
 

0票 0%

Perfect with Aesthetics

 

0票 0%

Better Implies Difficulty

 

0票 0%

Good and Satisfactory

 

0票 0%

Adverse Performance

 

0票 0%

Disdainful Garbage

您所在的用户组没有投票权限
发表于 2025-3-21 23:41:06 | 显示全部楼层
发表于 2025-3-22 04:25:46 | 显示全部楼层
发表于 2025-3-22 05:23:39 | 显示全部楼层
General Preliminaries,In this introductory chapter, some general notions and results are introduced and discussed. In particular, we discuss properties of covariances, correlations, copula functions, and normal distributions. Also some remarks regarding statistical tests are made. Finally, a conceptual overview of the other book chapters is given.
发表于 2025-3-22 09:24:21 | 显示全部楼层
发表于 2025-3-22 12:56:31 | 显示全部楼层
发表于 2025-3-22 21:02:39 | 显示全部楼层
发表于 2025-3-22 23:21:14 | 显示全部楼层
Skew-Normal Distributions,This lecture deals with skew-normal distributions on the real line. Utilizing results from stationary time series analysis, we derive a stochastic representation of a skew-normally distributed random variable. Furthermore, possible generalizations of skew-normal distributions are mentioned.
发表于 2025-3-23 03:09:55 | 显示全部楼层
The Weighted Bootstrap,In this chapter, (weighted) bootstrap methods for testing statistical functionals are presented. The relationship to dependency is that Efron’s bootstrap involves multinominal weights which are correlated. Some modifications of these weights are proposed to address this issue.
发表于 2025-3-23 06:52:51 | 显示全部楼层
 关于派博传思  派博传思旗下网站  友情链接
派博传思介绍 公司地理位置 论文服务流程 影响因子官网 SITEMAP 大讲堂 北京大学 Oxford Uni. Harvard Uni.
发展历史沿革 期刊点评 投稿经验总结 SCIENCEGARD IMPACTFACTOR 派博系数 清华大学 Yale Uni. Stanford Uni.
|Archiver|手机版|小黑屋| 派博传思国际 ( 京公网安备110108008328) GMT+8, 2025-6-26 13:07
Copyright © 2001-2015 派博传思   京公网安备110108008328 版权所有 All rights reserved
快速回复 返回顶部 返回列表