How Long to Read Introduction to Probability Simulation and Gibbs Sampling with R

How Long Does it Take to Read Introduction to Probability Simulation and Gibbs Sampling with R?

It takes the average reader 5 hours and 25 minutes to read Introduction to Probability Simulation and Gibbs Sampling with R by Eric A. Suess

Assuming a reading speed of 250 words per minute. Learn more

Description

The first seven chapters use R for probability simulation and computation, including random number generation, numerical and Monte Carlo integration, and finding limiting distributions of Markov Chains with both discrete and continuous states. Applications include coverage probabilities of binomial confidence intervals, estimation of disease prevalence from screening tests, parallel redundancy for improved reliability of systems, and various kinds of genetic modeling. These initial chapters can be used for a non-Bayesian course in the simulation of applied probability models and Markov Chains. Chapters 8 through 10 give a brief introduction to Bayesian estimation and illustrate the use of Gibbs samplers to find posterior distributions and interval estimates, including some examples in which traditional methods do not give satisfactory results. WinBUGS software is introduced with a detailed explanation of its interface and examples of its use for Gibbs sampling for Bayesian estimation. No previous experience using R is required. An appendix introduces R, and complete R code is included for almost all computational examples and problems (along with comments and explanations). Noteworthy features of the book are its intuitive approach, presenting ideas with examples from biostatistics, reliability, and other fields; its large number of figures; and its extraordinarily large number of problems (about a third of the pages), ranging from simple drill to presentation of additional topics. Hints and answers are provided for many of the problems. These features make the book ideal for students of statistics at the senior undergraduate and at the beginning graduate levels.

How long is Introduction to Probability Simulation and Gibbs Sampling with R?

Introduction to Probability Simulation and Gibbs Sampling with R by Eric A. Suess is 317 pages long, and a total of 81,469 words.

This makes it 107% the length of the average book. It also has 100% more words than the average book.

How Long Does it Take to Read Introduction to Probability Simulation and Gibbs Sampling with R Aloud?

The average oral reading speed is 183 words per minute. This means it takes 7 hours and 25 minutes to read Introduction to Probability Simulation and Gibbs Sampling with R aloud.

What Reading Level is Introduction to Probability Simulation and Gibbs Sampling with R?

Introduction to Probability Simulation and Gibbs Sampling with R is suitable for students ages 12 and up.

Note that there may be other factors that effect this rating besides length that are not factored in on this page. This may include things like complex language or sensitive topics not suitable for students of certain ages.

When deciding what to show young students always use your best judgement and consult a professional.

Where Can I Buy Introduction to Probability Simulation and Gibbs Sampling with R?

Introduction to Probability Simulation and Gibbs Sampling with R by Eric A. Suess is sold by several retailers and bookshops. However, Read Time works with Amazon to provide an easier way to purchase books.

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