Introduction to probability

• Verfasst von: Balakrishnan, Narayanaswamy [VerfasserIn]
• Verfasst von: Koutras, Markos V. [VerfasserIn]
• Verfasst von: Konstantinos, Politis [VerfasserIn]
• Titel: Introduction to probability
• Titelzusatz: models and applications
• Verf.angabe: N. Balakrishnan (McMaster University, Canada), Markos V. Koutras (University of Piraeus, Greece), Politis Konstantinos
• Verlagsort: Hoboken, NJ
• Verlag: Wiley
• Jahr: 2019
• Umfang: 1 online resource
• Gesamttitel/Reihe: Wiley series in probability and statistics
• Fussnoten: Includes bibliographical references and index. - Print version record and CIP data provided by publisher; resource not viewed
• ISBN: 978-1-118-54871-4
• ISBN: 1-118-54871-X
• ISBN: 978-1-118-54849-3
• ISBN: 1-118-54849-3
• ISBN: 978-1-119-54934-5
• ISBN: 1-119-54934-5
• ISBN: 978-1-118-12334-8
• Datenträger: Online-Ressource
• Sprache: eng
• Bibliogr. Hinweis: Erscheint auch als : Druck-Ausgabe
• Sach-SW: Probabilités ; Manuels d'enseignement supérieur
• Sach-SW: MATHEMATICS ; Applied
• Sach-SW: MATHEMATICS ; Probability & Statistics ; General
• Sach-SW: Probabilities
• Sach-SW: Textbooks
• Sach-SW: Textbooks
• K10plus-PPN: 1903895340
• K10plus-PPN:
  Universitätsbibliothek
• Lokale URL UB: Zum Volltext
• Lokale URL UB: Bibliothek der Medizinischen Fakultät Mannheim der Universität Heidelberg
• Bibliothek/Idn: UW / m4585420576
• Lokale URL Inst.: Zum Volltext

Abstract

An essential guide to the concepts of probability theory that puts the focus on models and applications Introduction to Probability offers an authoritative text that presents the main ideas and concepts, as well as the theoretical background, models, and applications of probability. The authors-noted experts in the field-include a review of problems where probabilistic models naturally arise, discuss the appropriate statistical methods, and explain how these models fit into the data presented. To aid in understanding, the book presents many real-world exercises and solutions that appear after each section within a chapter. A wide-range of topics are covered that include concepts of probability, univariate discrete distribution, univariate continuous distributions, bivariate discrete random variables, bivariate continuous random variables, stochastic independence-multivariate random variables, and many more. Designed as a useful guide, the text contains theory of probability, definitions, charts, examples, illustrations, problems and solutions, and a glossary. This important text: -Includes classroom-tested problems and solutions to probability exercises -Highlights real-world exercises designed to make clear the concepts presented -Uses Matlab software to illustrate the text's computer exercises -Features applications representing worldwide situations and processes -Offers a Student Solutions Manual that contains select solutions to numerous exercises found in the book Written for students majoring in statistics, engineering, operations research, computer science, physics, and mathematics, Introduction to Probability: Models and Applications is an accessible text that explores the basic concepts of probability and includes detailed information on models and applications.