Copula-Based Markov Models for Time Series

Dutch, Takeshi Emura, Li-Hsien Sun, Jong-Min Kim, Xin-Wei Huang, Mohammed S. Alqawba, 2020
Delivered between Thu, 26.6. and Sat, 28.6.
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Product details

The book "Copula-Based Markov Models for Time Series" offers a comprehensive introduction to statistical methods for analyzing time series data, with a particular focus on copula-based Markov chain models. It is aimed at students and researchers in the fields of economics, management, mathematics, and statistics who wish to gain a deeper understanding of the statistical analysis of time series. The authors present a variety of data examples from different disciplines such as economics, engineering, finance, and sports to illustrate the methods discussed. The individual chapters are designed to be read independently, making the book appealing to researchers as well. Additionally, various parametric models based on different distributions are covered, and modern computational techniques for estimating models are introduced.

Key specifications

Language
Dutch
topic
Mathematics & Natural Sciences
Author
Jong-Min KimLi-Hsien SunMohammed S. AlqawbaTakeshi EmuraXin-Wei Huang
Book cover
Paperback
Year
2020
Item number
56136004

General information

Publisher
Springer
Category
Reference books
Release date
11.3.2025

Book properties

topic
Mathematics & Natural Sciences
Language
Dutch
Author
Jong-Min KimLi-Hsien SunMohammed S. AlqawbaTakeshi EmuraXin-Wei Huang
Year
2020
Book cover
Paperback
Year
2020

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