Statistical Topics and Stochastic Models for Dependent Data with Applications is popular PDF and ePub book, written by Vlad Stefan Barbu in 2020-12-03, it is a fantastic choice for those who relish reading online the Mathematics genre. Let's immerse ourselves in this engaging Mathematics book by exploring the summary and details provided below. Remember, Statistical Topics and Stochastic Models for Dependent Data with Applications can be Read Online from any device for your convenience.
Statistical Topics and Stochastic Models for Dependent Data with Applications Book PDF Summary
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.
Detail Book of Statistical Topics and Stochastic Models for Dependent Data with Applications PDF
- Author : Vlad Stefan Barbu
- Release : 03 December 2020
- Publisher : John Wiley & Sons
- ISBN : 9781786306036
- Genre : Mathematics
- Total Page : 288 pages
- Language : English
- PDF File Size : 8,9 Mb
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