380 Pages
92 B/W Illustrations
by
Chapman & Hall
380 Pages
92 B/W Illustrations
by
Chapman & Hall
380 Pages
by
Chapman & Hall
Also available as eBook on:
Based on a popular course taught by the late Gian-Carlo Rota of MIT, with many new topics covered as well, Introduction to Probability with R presents R programs and animations to provide an intuitive yet rigorous understanding of how to model natural phenomena from a probabilistic point of view. Although the R programs are small in length, they are just as sophisticated and powerful as longer... Read more
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.
Biography
Kenneth Baclawski
