Weighing the Odds
A Course in Probability and Statistics
Our rough guess is there are 141,500 words in this book.
At a pace averaging 250 words per minute, this book will take 9 hours and 26 minutes to read. With a half hour per day, this will take 19 days to read.
How long will it take you?
This book will take an estimated to read at a reading speed averaging words per minute. With 30 minutes per day, this will take to read.
Enter your reading speedYou can take one of our WPM reading speed tests to find your reading speed.
Create a free account to track your reading progress, build your reading list, and set reading goals.
Author
Publication
2001-09-24 - Cambridge University Press
Language
English
Word Count
141,500 words, Guess
Page Count
566 pages
Physical Format
Paperback
Identifiers
- Internet Archiveweighingoddscour00will_530
- Internet Archiveweighingoddscour00will
- Internet Archiveweighingoddscour0000will
- ISBN-10052100618X
- ISBN-139780521006187
and 6 more
- Goodreads2602395
- LibraryThing733926
- Library of Congress Control Number2001025435
- OCLC Control Number46393236
- Better World Books9780521006187
- Open LibraryOL7712818M
Classifications
- LCCQA273 .W626 2001
Description
Statistics do not lie, nor is probability paradoxical. You just have to have the right intuition. In this lively look at both subjects, David Williams convinces mathematics students of the intrinsic interest of statistics and probability, and statistics students that the language of mathematics can bring real insight and clarity to their subject. He helps students build the intuition needed, in a presentation enriched with examples drawn from all manner of applications, e.g., genetics, filtering, the Black–Scholes option-pricing formula, quantum probability and computing, and classical and modern statistical models. Statistics chapters present both the Frequentist and Bayesian approaches, emphasising Confidence Intervals rather than Hypothesis Test, and include Gibbs-sampling techniques for the practical implementation of Bayesian methods. A central chapter gives the theory of Linear Regression and ANOVA, and explains how MCMC methods allow greater flexibility in modelling. C or WinBUGS code is provided for computational examples and simulations. Many exercises are included; hints or solutions are often provided.
First Sentence
Please, do read the Preface first!
Subjects
Topics
Other Editions
- Weighing the Odds: A Course in Probability and Statistics
Similar Books
Introduction to probability and statistics.
William Mendenhall
Schaum's outline of theory and problems of statistics.
Murray R. Spiegel, Larry Stephens, M. Spiegel, SPIEGEL, Schaum
Kendall's advanced theory of statistics
originally by Sir Maurice Kendall.
Workshop Statistics: Discovery with Data and Minitab and Minitab R14 Set
Beth L. Chance, Allan J. Rossman, Beth Chance
Probability and random processes
Geoffrey R. Grimmett and David R. Stirzaker.
Statistics
Alan Agresti, Chris Franklin, Christine A. Franklin, Megan Mocko, Christine Franklin, Maria Ripol
Statistics: a first course.
Robert K. Smidt, Donald H. Sanders
Using R for introductory statistics
John Verzani.
Reader Reviews
No reviews yet for this book.
Be the first to share your thoughts!