Inequalities and Extremal Problems in Probability and Statistics : Selected Topics

Iosif Pinelis

ISBN 10: 012809818X / ISBN 13: 9780128098189

Published by Elsevier Science, 2017

About this Item

nach der Bestellung gedruckt Neuware - Printed after ordering - Inequalities and Extremal Problems in Probability and Statistics: Selected Topics presents various kinds of useful inequalities that are applicable in many areas of mathematics, the sciences, and engineering. The book enables the reader to grasp the importance of inequalities and how they relate to probability and statistics. This will be an extremely useful book for researchers and graduate students in probability, statistics, and econometrics, as well as specialists working across sciences, engineering, financial mathematics, insurance, and mathematical modeling of large risks.

Seller Inventory # 9780128098189

Bibliographic Details

• Title: Inequalities and Extremal Problems in Probability and Statistics : Selected Topics
• Publisher: Elsevier Science
• Publication Date: 2017
• Language: English
• ISBN 10: 012809818X
• ISBN 13: 9780128098189
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 226W x 150H x 10D millimeters 226 millimeters width by 150 millimeters height by 10 millimeters depth
• Weight: 318 grams

About this title

Synopsis

Inequalities and Extremal Problems in Probability and Statistics: Selected Topics presents various kinds of useful inequalities that are applicable in many areas of mathematics, the sciences, and engineering. The book enables the reader to grasp the importance of inequalities and how they relate to probability and statistics.

This will be an extremely useful book for researchers and graduate students in probability, statistics, and econometrics, as well as specialists working across sciences, engineering, financial mathematics, insurance, and mathematical modeling of large risks.

• Teaches users how to understand useful inequalities
• Applicable across mathematics, sciences, and engineering
• Presented by a team of leading experts

About the Authors

Iosif Pinelis is Professor in the Department of Mathematical Sciences, Michigan Technological University, Houghton, Michigan, USA.

Victor de la Peña is Professor at the Department of Statistics, Columbia University, USA.

Rustam Ibragimov is Professor of Finance and Econometrics at Imperial College Business School, UK.

Adam Osekowski is Associate Professor at the Faculty of Mathematics, Informatics and Mechanics, University of Warsaw, Poland.

Irina Shevtsova is Associate Professor at Moscow State University, and Senior Researcher at the Institute of Informatics Problems of the Federal Research Center “Computer Science and Control” of the Russian Academy of Sciences, Russia.