Statistical Topics and Stochastic Models for Dependent Data with Applications (eBook)

Vlad Stefan Barbu, Nicolas Vergne (Herausgeber)

eBook Download: PDF

2020 | 1. Auflage
288 Seiten
John Wiley & Sons (Verlag)
978-1-119-77941-4 (ISBN)

Infos

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.

Autor

"Vlad Stefan BARBU1 : 1Associate Professor of Mathematics (Statistics) - HDR (Habilitation to Conduct Research); Laboratory of Mathematics Raphael Salem, University of Rouen - Normandy, France Nicolas VERGNE : Associate Professor of Mathematics (Statistics); Laboratory of Mathematics Raphael Salem, University of Rouen - Normandy, France"

Inhalt

SECTION 1: Markov and semi-Markov ProcessesSECTION 2: Autoregressive ProcessesSECTION 3: Divergence Measures and Entropies

Produkt-Details

• Erscheint lt. Verlag: 9.10.2020
• Sprache: englisch
• Themenwelt: Mathematik / Informatik ► Mathematik
• Themenwelt: Sozialwissenschaften ► Pädagogik ► Bildungstheorie
• Schlagworte: Bildungswesen • Business & Management • Business Statistics & Math • Education • Lehrpläne / Mathematik • Mathematics • Mathematics Special Topics • Mathematik • Spezialthemen Mathematik • Wirtschaftsmathematik • Wirtschaftsmathematik u. -statistik • Wirtschaft u. Management
• ISBN-10: 1-119-77941-3 / 1119779413
• ISBN-13: 978-1-119-77941-4 / 9781119779414