Copula-Based Markov Models for Time Series
Dutch, Takeshi Emura, Li-Hsien Sun, Jong-Min Kim, Xin-Wei Huang, Mohammed S. Alqawba, 2020More than 10 items in stock at supplier
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.
Language | Dutch |
topic | Mathematics & Natural Sciences |
Author | Jong-Min Kim, Li-Hsien Sun, Mohammed S. Alqawba, Takeshi Emura, Xin-Wei Huang |
Book cover | Paperback |
Year | 2020 |
Item number | 56136004 |
Publisher | Springer |
Category | Reference books |
Release date | 11.3.2025 |
topic | Mathematics & Natural Sciences |
Language | Dutch |
Author | Jong-Min Kim, Li-Hsien Sun, Mohammed S. Alqawba, Takeshi Emura, Xin-Wei Huang |
Year | 2020 |
Book cover | Paperback |
Year | 2020 |
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