Statistical Topics and Stochastic Models for Dependent Data with Applications

This book PDF is perfect for those who love Mathematics genre, written by Vlad Stefan Barbu and published by John Wiley & Sons which was released on 03 December 2020 with total hardcover pages 288. You could read this book directly on your devices with pdf, epub and kindle format, check detail and related Statistical Topics and Stochastic Models for Dependent Data with Applications books below.

Statistical Topics and Stochastic Models for Dependent Data with Applications
Author : Vlad Stefan Barbu
File Size : 49,6 Mb
Publisher : John Wiley & Sons
Language : English
Release Date : 03 December 2020
ISBN : 9781786306036
Pages : 288 pages
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Statistical Topics and Stochastic Models for Dependent Data with Applications by Vlad Stefan Barbu 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.

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 and piecewise deterministic Markov models. The material is divided into three

Get Book
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