Statistical Topics and Stochastic Models for Dependent Data with Applications
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- Synopsis
- 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. A special attention is payed to applications in reliability, survival analysis and related fields.
- Copyright:
- 2021
Book Details
- Book Quality:
- Publisher Quality
- Book Size:
- 288 Pages
- ISBN-13:
- 9781119779407
- Related ISBNs:
- 9781119779421, 9781786306036
- Publisher:
- Wiley
- Date of Addition:
- 11/04/20
- Copyrighted By:
- Wiley
- Adult content:
- No
- Language:
- English
- Has Image Descriptions:
- No
- Categories:
- Nonfiction, Mathematics and Statistics
- Submitted By:
- Bookshare Staff
- Usage Restrictions:
- This is a copyrighted book.
- Edited by:
- Vlad Stefan Barbu
- Edited by:
- Nicolas Vergne