Statistical Topics and Stochastic Models for Dependent Data with Applications /
This book is a collective volume authored by leading scientists in the field of stochastic modelling, associated statistical topics and corresponding applications. The main classes of stochastic processes for dependent data investigated throughout this book are Markov, semi-Markov, autoregressive an...
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| Format: | text |
| Language: | eng |
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London : ISTE, Ltd. ; Hoboken : Wiley,
2020
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| _version_ | 1796762665882746880 |
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| author | Barbu, Vlad Stefan, editor 635801 Vergne, Nicolas, editor 635802 |
| author_facet | Barbu, Vlad Stefan, editor 635801 Vergne, Nicolas, editor 635802 |
| author_sort | Barbu, Vlad Stefan, editor 635801 |
| collection | OCEAN |
| description | This book is a collective volume authored by leading scientists in the field of stochastic modelling, associated statistical topics and corresponding applications. The main classes of stochastic processes for dependent data investigated throughout this book are Markov, semi-Markov, autoregressive and piecewise deterministic Markov models. The material is divided into three parts corresponding to: (i) Markov and semi-Markov processes, (ii) autoregressive processes and (iii) techniques based on divergence measures and entropies. |
| first_indexed | 2024-03-05T16:44:12Z |
| format | text |
| id | KOHA-OAI-TEST:592900 |
| institution | Universiti Teknologi Malaysia - OCEAN |
| language | eng |
| last_indexed | 2024-04-09T03:42:12Z |
| publishDate | 2020 |
| publisher | London : ISTE, Ltd. ; Hoboken : Wiley, |
| record_format | dspace |
| spelling | KOHA-OAI-TEST:5929002024-03-24T07:59:07ZStatistical Topics and Stochastic Models for Dependent Data with Applications / Barbu, Vlad Stefan, editor 635801 Vergne, Nicolas, editor 635802 textLondon : ISTE, Ltd. ; Hoboken : Wiley,2020engThis book is a collective volume authored by leading scientists in the field of stochastic modelling, associated statistical topics and corresponding applications. The main classes of stochastic processes for dependent data investigated throughout this book are Markov, semi-Markov, autoregressive and piecewise deterministic Markov models. The material is divided into three parts corresponding to: (i) Markov and semi-Markov processes, (ii) autoregressive processes and (iii) techniques based on divergence measures and entropies.Includes bibliographical references and indexThis book is a collective volume authored by leading scientists in the field of stochastic modelling, associated statistical topics and corresponding applications. The main classes of stochastic processes for dependent data investigated throughout this book are Markov, semi-Markov, autoregressive and piecewise deterministic Markov models. The material is divided into three parts corresponding to: (i) Markov and semi-Markov processes, (ii) autoregressive processes and (iii) techniques based on divergence measures and entropies.Mathematical statisticsStochastic processesURN:ISBN:9781786306036 |
| spellingShingle | Mathematical statistics Stochastic processes Barbu, Vlad Stefan, editor 635801 Vergne, Nicolas, editor 635802 Statistical Topics and Stochastic Models for Dependent Data with Applications / |
| title | Statistical Topics and Stochastic Models for Dependent Data with Applications / |
| title_full | Statistical Topics and Stochastic Models for Dependent Data with Applications / |
| title_fullStr | Statistical Topics and Stochastic Models for Dependent Data with Applications / |
| title_full_unstemmed | Statistical Topics and Stochastic Models for Dependent Data with Applications / |
| title_short | Statistical Topics and Stochastic Models for Dependent Data with Applications / |
| title_sort | statistical topics and stochastic models for dependent data with applications |
| topic | Mathematical statistics Stochastic processes |
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