Kirjojen hintavertailu. Mukana 12 236 845 kirjaa ja 12 kauppaa.

Kirjailija

Fabrizio Ruggeri

Kirjat ja teokset yhdessä paikassa: 6 kirjaa, julkaisuja vuosilta 2012-2023, suosituimpien joukossa essere o avere. Vertaile teosten hintoja ja tarkista saatavuus suomalaisista kirjakaupoista.

6 kirjaa

Kirjojen julkaisuhaarukka 2012-2023.

Fiber Bundles

Fiber Bundles

James U. Gleaton; David Han; James D. Lynch; Hon Keung Tony Ng; Fabrizio Ruggeri

Springer International Publishing AG
2023
sidottu
?This book presents a critical overview of statistical fiber bundle models, including existing models and potential new ones. The authors focus on both the physical and statistical aspects of a specific load-sharing example: the breakdown for circuits of capacitors and related dielectrics. In addition, they investigate some areas of open research.This book is designed for graduate students and researchers in statistics, materials science, engineering, physics, and related fields, as well as practitioners and technicians in materials science and mechanical engineering.
Bayesian Analysis of Stochastic Process Models

Bayesian Analysis of Stochastic Process Models

David Insua; Fabrizio Ruggeri; Mike Wiper

John Wiley Sons Inc
2012
sidottu
Bayesian analysis of complex models based on stochastic processes has in recent years become a growing area. This book provides a unified treatment of Bayesian analysis of models based on stochastic processes, covering the main classes of stochastic processing including modeling, computational, inference, forecasting, decision making and important applied models. Key features: Explores Bayesian analysis of models based on stochastic processes, providing a unified treatment. Provides a thorough introduction for research students. Computational tools to deal with complex problems are illustrated along with real life case studies Looks at inference, prediction and decision making. Researchers, graduate and advanced undergraduate students interested in stochastic processes in fields such as statistics, operations research (OR), engineering, finance, economics, computer science and Bayesian analysis will benefit from reading this book. With numerous applications included, practitioners of OR, stochastic modelling and applied statistics will also find this book useful.