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.

Sommario

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.

Info autore

Kenneth Baclawski

Riassunto

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.

Dettagli sul prodotto

• Autori: Kenneth Baclawski
• Con la collaborazione di: Bradley. P. Carlin (Editore della collana), Julian J. Faraway (Editore della collana), Martin A. Tanner (Editore della collana), Jim Zidek (Editore della collana)
• Editore: Taylor & Francis Ltd.
• Lingue: Inglese
• Formato: Tascabile
• Pubblicazione: 21.01.2023
• EAN: 9781032477800
• ISBN: 978-1-0-3247780-0
• Pagine: 380
• Serie: Chapman & Hall/CRC Texts in Statistical Science
• Categorie: Scienze naturali, medicina, informatica, tecnica > Matematica > Teoria delle probabilità, stocastica, statistica matematica; Product Design, MATHEMATICS / Probability & Statistics / General, MATHEMATICS / Probability & Statistics / Bayesian Analysis, TECHNOLOGY & ENGINEERING / Operations Research, Probability & statistics, Engineering: general, Probability and statistics