Introduction to Probability With R

This text presents R programs and animations to provide an intuitive yet rigorous understanding of how to model natural phenomena from a probabilistic point of view. Each chapter includes a short biographical note about a contributor to probability theory, exercises, and selected answers. Ancillary material is accessible online.

Inhaltsverzeichnis

Foreword. Preface. Sets, Events, and Probability. Finite Processes. Discrete Random Variables. General Random Variables. Statistics and the Normal Distribution. Conditional Probability. The Poisson Process. Randomization and Compound Processes. Entropy and Information. Markov Chains. Appendices. References. Index.

Über den Autor / die Autorin

Kenneth Baclawski

Zusammenfassung

This text presents R programs and animations to provide an intuitive yet rigorous understanding of how to model natural phenomena from a probabilistic point of view. Each chapter includes a short biographical note about a contributor to probability theory, exercises, and selected answers. Ancillary material is accessible online.

Produktdetails

• Autoren: Kenneth Baclawski
• Mitarbeit: Bradley. P. Carlin (Herausgeber der Reihe), Julian J. Faraway (Herausgeber der Reihe), Martin A. Tanner (Herausgeber der Reihe), Jim Zidek (Herausgeber der Reihe)
• Verlag: Taylor & Francis Ltd.
• Sprache: Englisch
• Produktform: Taschenbuch
• Erschienen: 21.01.2023
• EAN: 9781032477800
• ISBN: 978-1-0-3247780-0
• Seiten: 380
• Serie: Chapman & Hall/CRC Texts in Statistical Science
• Themen: Naturwissenschaften, Medizin, Informatik, Technik > Mathematik > Wahrscheinlichkeitstheorie, Stochastik, Mathematische Statistik; Product Design, MATHEMATICS / Probability & Statistics / General, MATHEMATICS / Probability & Statistics / Bayesian Analysis, TECHNOLOGY & ENGINEERING / Operations Research, Probability & statistics, Engineering: general, Probability and statistics