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Introduction to Probability with R

From the Foreword, Tianhua Niu, Brigham and Women's Hospital, Harvard Medical School, and Harvard School of Public Health, Boston, Massachusetts, USA. Uses R programs and animations throughout to convey important aspects of probability and to encourage experimentation. Table of R programs. Covers the theorems of probability along with stochastic processes and the relationships among them. Deals with probabilistic reasoning in chapters on statistics and conditional probability. Boston, MA 02115.

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Introduction to Probability with R | stochas.org Reviews

<META> DESCRIPTION

From the Foreword, Tianhua Niu, Brigham and Women's Hospital, Harvard Medical School, and Harvard School of Public Health, Boston, Massachusetts, USA. Uses R programs and animations throughout to convey important aspects of probability and to encourage experimentation. Table of R programs. Covers the theorems of probability along with stochastic processes and the relationships among them. Deals with probabilistic reasoning in chapters on statistics and conditional probability. Boston, MA 02115.

<META> KEYWORDS

1 features

2 image gallery

3 another image gallery

4 animation gallery

5 bobstern@taylorandfrancis com

6 errata

7 acknowledgements

8 reviews

9 kenneth paul baclawski

10 northeastern university

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Introduction to Probability with R | stochas.org Reviews

https://stochas.org

From the Foreword, Tianhua Niu, Brigham and Women's Hospital, Harvard Medical School, and Harvard School of Public Health, Boston, Massachusetts, USA. Uses R programs and animations throughout to convey important aspects of probability and to encourage experimentation. Table of R programs. Covers the theorems of probability along with stochastic processes and the relationships among them. Deals with probabilistic reasoning in chapters on statistics and conditional probability. Boston, MA 02115.

INTERNAL PAGES

stochas.org

1

Introduction to Probability with R

http://www.stochas.org/gallery2.html

The probabilities for birthday coincidences. The probabilities for catching tagged fish. Tabulation of Bernoulli waiting times. Another way to tabulate and graph Bernoulli waiting times. Tabulation of waiting times in the Bernoulli process. The negative binomial distribution for various biases. Various negative binomial distributions for a fair coin. Random walk for a specific Bernoulli sample point. The distribution of a biased random walk. The birthday coincidence waiting time distribution. Random gene...

2

Introduction to Probability with R

http://www.stochas.org/acknowledge.html

While Gian-Carlo was the most important influence on my notes, many other individuals influenced and supported this book. I had the privilege of knowing Mark Kac who, along with Gian-Carlo, taught me the essence of probability theory. My work on scale-invariant distributions was sponsored by a grant from Amdahl Corporation. I wish to acknowledge the contribution of Dieter Gawlick and Jim Gray in this area. This book would never have been published were it not for Chapman and Hall of the Taylor and Franci...

3

Introduction to Probability with R

http://www.stochas.org/animations.html

Animation of the binomial distribution for biases from 0 to 1. Animation of the binomial distribution for biases from 0 to 1 with specified vertical scale. Animation of the binomial distribution for 1 to 100 trials. Animation of the binomial distribution for 1 to 200 trials with specified vertical scale. Animation of the binomial distribution for bias 0.25. Animation of a random walk. Animation of a biased random walk. Observing the movement of the most likely location for a biased random walk.

4

Introduction to Probability with R

http://www.stochas.org/gallery.html

The probabilities for birthday coincidences. The probabilities for catching tagged fish. Tabulation of Bernoulli waiting times. Another way to tabulate and graph Bernoulli waiting times. Tabulation of waiting times in the Bernoulli process. The negative binomial distribution for various biases. The negative binomial distribution for a fair coin but different number of heads. Random walk for a specific Bernoulli sample point. The distribution of a biased random walk. The Banach matchbox probabilities.

5

Introduction to Probability with R

http://www.stochas.org/errata.html

Errata for Introduction to Probability with R. On the fifteenth line from the bottom of the page there is a missing period: ".elementary events The whole." should be ".elementary events. The whole.". On the eighth line from the bottom of the page, the first H. The program for extracting one element of a vector has [5] when it should have been [3]. The last line on the page should be " [1] 1 0 1 1 1 0 1 0 0 0". 1/6 1/6 1/6-2/36-2/36-2/36 3/216 = 25/72. 1-choose(380,5)/choose(400,5) [1] 0.2272444. The prog...

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Monte Carlo for Teaching Applied Statistics

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Zachary M. Jones. Monte Carlo for Teaching Applied Statistics. Nearly all of the political methodology (applied statistics) courses I have taken rely almost exclusively on real data taken from political science or a cognate discipline. I think we should make much more use of simulated data. Monte Carlo simulation. Has a number of advantages and using real data has a number of disadvantages. This is important for replicability as Reinhart and Rogoff. Adding the extra work of data munging takes away from l...

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Introduction to Probability with R

From the Foreword, Tianhua Niu, Brigham and Women's Hospital, Harvard Medical School, and Harvard School of Public Health, Boston, Massachusetts, USA. Uses R programs and animations throughout to convey important aspects of probability and to encourage experimentation. Table of R programs. Covers the theorems of probability along with stochastic processes and the relationships among them. Deals with probabilistic reasoning in chapters on statistics and conditional probability. Boston, MA 02115.

stochas.org

Introduction to Probability with R

From the Foreword, Tianhua Niu, Brigham and Women's Hospital, Harvard Medical School, and Harvard School of Public Health, Boston, Massachusetts, USA. Uses R programs and animations throughout to convey important aspects of probability and to encourage experimentation. Table of R programs. Covers the theorems of probability along with stochastic processes and the relationships among them. Deals with probabilistic reasoning in chapters on statistics and conditional probability. Boston, MA 02115.

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