An Introduction to Stochastic Orders

Produk Detail:
  • Author : Felix Belzunce
  • Publisher : Academic Press
  • Pages : 174 pages
  • ISBN : 0128038268
  • Rating : /5 from reviews
CLICK HERE TO GET THIS BOOK >>>An Introduction to Stochastic Orders

Download or Read online An Introduction to Stochastic Orders full in PDF, ePub and kindle. this book written by Felix Belzunce and published by Academic Press which was released on 29 September 2015 with total page 174 pages. We cannot guarantee that An Introduction to Stochastic Orders book is available in the library, click Get Book button and read full online book in your kindle, tablet, IPAD, PC or mobile whenever and wherever You Like. An Introduction to Stochastic Orders discusses this powerful tool that can be used in comparing probabilistic models in different areas such as reliability, survival analysis, risks, finance, and economics. The book provides a general background on this topic for students and researchers who want to use it as a tool for their research. In addition, users will find detailed proofs of the main results and applications to several probabilistic models of interest in several fields, and discussions of fundamental properties of several stochastic orders, in the univariate and multivariate cases, along with applications to probabilistic models. Introduces stochastic orders and its notation Discusses different orders of univariate stochastic orders Explains multivariate stochastic orders and their convex, likelihood ratio, and dispersive orders

An Introduction to Stochastic Orders

An Introduction to Stochastic Orders
  • Author : Felix Belzunce,Carolina Martinez Riquelme,Julio Mulero
  • Publisher : Academic Press
  • Release : 29 September 2015
GET THIS BOOK An Introduction to Stochastic Orders

An Introduction to Stochastic Orders discusses this powerful tool that can be used in comparing probabilistic models in different areas such as reliability, survival analysis, risks, finance, and economics. The book provides a general background on this topic for students and researchers who want to use it as a tool for their research. In addition, users will find detailed proofs of the main results and applications to several probabilistic models of interest in several fields, and discussions of fundamental properties

An Introduction to Stochastic Modeling

An Introduction to Stochastic Modeling
  • Author : Mark Pinsky,Samuel Karlin
  • Publisher : Academic Press
  • Release : 25 September 2021
GET THIS BOOK An Introduction to Stochastic Modeling

Serving as the foundation for a one-semester course in stochastic processes for students familiar with elementary probability theory and calculus, Introduction to Stochastic Modeling, Fourth Edition, bridges the gap between basic probability and an intermediate level course in stochastic processes. The objectives of the text are to introduce students to the standard concepts and methods of stochastic modeling, to illustrate the rich diversity of applications of stochastic processes in the applied sciences, and to provide exercises in the application of

Introduction to Random Signals and Noise

Introduction to Random Signals and Noise
  • Author : Wim C. Van Etten
  • Publisher : John Wiley & Sons
  • Release : 03 February 2006
GET THIS BOOK Introduction to Random Signals and Noise

Random signals and noise are present in many engineering systems and networks. Signal processing techniques allow engineers to distinguish between useful signals in audio, video or communication equipment, and interference, which disturbs the desired signal. With a strong mathematical grounding, this text provides a clear introduction to the fundamentals of stochastic processes and their practical applications to random signals and noise. With worked examples, problems, and detailed appendices, Introduction to Random Signals and Noise gives the reader the knowledge to

The Mathematics of the Uncertain

The Mathematics of the Uncertain
  • Author : Eduardo Gil,Eva Gil,Juan Gil,María Ángeles Gil
  • Publisher : Springer
  • Release : 28 February 2018
GET THIS BOOK The Mathematics of the Uncertain

This book is a tribute to Professor Pedro Gil, who created the Department of Statistics, OR and TM at the University of Oviedo, and a former President of the Spanish Society of Statistics and OR (SEIO). In more than eighty original contributions, it illustrates the extent to which Mathematics can help manage uncertainty, a factor that is inherent to real life. Today it goes without saying that, in order to model experiments and systems and to analyze related outcomes and

Combining Soft Computing and Statistical Methods in Data Analysis

Combining Soft Computing and Statistical Methods in Data Analysis
  • Author : Christian Borgelt,Gil González Rodríguez,Wolfgang Trutschnig,María Asunción Lubiano,María Angeles Gil,Przemyslaw Grzegorzewski,Olgierd Hryniewicz
  • Publisher : Springer Science & Business Media
  • Release : 12 October 2010
GET THIS BOOK Combining Soft Computing and Statistical Methods in Data Analysis

Over the last forty years there has been a growing interest to extend probability theory and statistics and to allow for more flexible modelling of imprecision, uncertainty, vagueness and ignorance. The fact that in many real-life situations data uncertainty is not only present in the form of randomness (stochastic uncertainty) but also in the form of imprecision/fuzziness is but one point underlining the need for a widening of statistical tools. Most such extensions originate in a "softening" of classical

Stochastic Orders and Applications

Stochastic Orders and Applications
  • Author : Karl Mosler,Marco Scarsini
  • Publisher : Springer Science & Business Media
  • Release : 06 December 2012
GET THIS BOOK Stochastic Orders and Applications

A bibliography on stochastic orderings. Was there a real need for it? In a time of reference databases as the MathSci or the Science Citation Index or the Social Science Citation Index the answer seems to be negative. The reason we think that this bibliog raphy might be of some use stems from the frustration that we, as workers in the field, have often experienced by finding similar results being discovered and proved over and over in different journals of

An Introduction to the Numerical Simulation of Stochastic Di erential Equations

An Introduction to the Numerical Simulation of Stochastic Di   erential Equations
  • Author : Desmond J. Higham ,Peter E. Kloeden
  • Publisher : SIAM
  • Release : 28 January 2021
GET THIS BOOK An Introduction to the Numerical Simulation of Stochastic Di erential Equations

This book provides a lively and accessible introduction to the numerical solution of stochastic differential equations with the aim of making this subject available to the widest possible readership. It presents an outline of the underlying convergence and stability theory while avoiding technical details. Key ideas are illustrated with numerous computational examples and computer code is listed at the end of each chapter. The authors include 150 exercises, with solutions available online, and 40 programming tasks. Although introductory, the book covers a

New Trends in Emerging Complex Real Life Problems

New Trends in Emerging Complex Real Life Problems
  • Author : Patrizia Daniele,Laura Scrimali
  • Publisher : Springer
  • Release : 30 December 2018
GET THIS BOOK New Trends in Emerging Complex Real Life Problems

This book gathers the contributions of the international conference “Optimization and Decision Science” (ODS2018), which was held at the Hotel Villa Diodoro, Taormina (Messina), Italy on September 10 to 13, 2018, and was organized by AIRO, the Italian Operations Research Society, in cooperation with the DMI (Department of Mathematics and Computer Science) of the University of Catania (Italy). The book offers state-of-the-art content on optimization, decisions science and problem solving methods, as well as their application in industrial and territorial systems. It highlights

Belief Functions Theory and Applications

Belief Functions  Theory and Applications
  • Author : Sébastien Destercke,Thierry Denoeux,Fabio Cuzzolin,Arnaud Martin
  • Publisher : Springer
  • Release : 07 September 2018
GET THIS BOOK Belief Functions Theory and Applications

This book constitutes the refereed proceedings of the 5th International Conference on Belief Functions, BELIEF 2018, held in Compiègne, France, in September 2018.The 33 revised regular papers presented in this book were carefully selected and reviewed from 73 submissions. The papers were solicited on theoretical aspects (including for example statistical inference, mathematical foundations, continuous belief functions) as well as on applications in various areas including classification, statistics, data fusion, network analysis and intelligent vehicles.

An Introduction to Stochastic Modeling

An Introduction to Stochastic Modeling
  • Author : Howard M. Taylor,Samuel Karlin
  • Publisher : Unknown
  • Release : 25 September 1994
GET THIS BOOK An Introduction to Stochastic Modeling

An Introduction to Stochastic Modeling, Revised Edition provides information pertinent to the standard concepts and methods of stochastic modeling. This book presents the rich diversity of applications of stochastic processes in the sciences. Organized into nine chapters, this book begins with an overview of diverse types of stochastic models, which predicts a set of possible outcomes weighed by their likelihoods or probabilities. This text then provides exercises in the applications of simple stochastic analysis to appropriate problems. Other chapters consider