Statistical Topics and Stochastic Models for Dependent Data with Applications: Applications in Reliability, Survival Analysis and Related Fields

✍ Scribed by Vlad Stefan Barbu

Publisher: Wiley-ISTE
Year: 2020
Tongue: English
Leaves: 268
Edition: 1
Category: Library

No coin nor oath required. For personal study only.

✦ 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.

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