Chapman and Hall/Crc Texts in Statistical Science Ser.: Introduction to...

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Specifiche dell'oggetto

Condizione
Nuovo: Libro nuovo, intatto e non letto, in perfette condizioni, senza pagine mancanti o ...
ISBN
9781138369917
Categoria

Informazioni su questo prodotto

Product Identifiers

Publisher
CRC Press LLC
ISBN-10
1138369918
ISBN-13
9781138369917
eBay Product ID (ePID)
10038458082

Product Key Features

Number of Pages
620 Pages
Publication Name
Introduction to Probability, Second Edition
Language
English
Subject
Probability & Statistics / General, General, Probability & Statistics / Bayesian Analysis
Publication Year
2019
Type
Textbook
Author
Jessica Hwang, Joseph K. Blitzstein
Subject Area
Mathematics, Reference
Series
Chapman and Hall/Crc Texts in Statistical Science Ser.
Format
Hardcover

Dimensions

Item Height
1.6 in
Item Weight
47.1 Oz
Item Length
10.2 in
Item Width
7.3 in

Additional Product Features

Edition Number
2
Intended Audience
College Audience
LCCN
2018-042685
Illustrated
Yes
Table Of Content
Probability and Counting. Conditional Probability. Random Variables and Their Distributions. Expectation. Continuous Random Variables. Moments. Joint Distributions. Transformations. Conditional Expectation. Inequalities and Limit Theorems. Markov Chains. Markov Chain Monte Carlo. Poisson Processes.
Synopsis
Developed from celebrated Harvard statistics lectures, Introduction to Probability provides essential language and tools for understanding statistics, randomness, and uncertainty. The book explores a wide variety of applications and examples, ranging from coincidences and paradoxes to Google PageRank and Markov chain Monte Carlo (MCMC). Additional application areas explored include genetics, medicine, computer science, and information theory. The authors present the material in an accessible style and motivate concepts using real-world examples. Throughout, they use stories to uncover connections between the fundamental distributions in statistics and conditioning to reduce complicated problems to manageable pieces. The book includes many intuitive explanations, diagrams, and practice problems. Each chapter ends with a section showing how to perform relevant simulations and calculations in R, a free statistical software environment. The second edition adds many new examples, exercises, and explanations, to deepen understanding of the ideas, clarify subtle concepts, and respond to feedback from many students and readers. New supplementary online resources have been developed, including animations and interactive visualizations, and the book has been updated to dovetail with these resources. Supplementary material is available on Joseph Blitzstein's website www. stat110.net. The supplements include: Solutions to selected exercises Additional practice problems Handouts including review material and sample exams Animations and interactive visualizations created in connection with the edX online version of Stat 110. Links to lecture videos available on ITunes U and YouTube There is also a complete instructor's solutions manual available to instructors who require the book for a course., Assumes one-semester of calculus. "Stories" make distributions (Normal, Binomial, Poisson that are widely-used in statistics) easier to remember, understand. Many books write down formulas without explaining clearly why these particular distributions are important or how they are all connected., Developed from celebrated Harvard statistics lectures, Introduction to Probability provides essential language and toolsfor understanding statistics, randomness, and uncertainty. The book explores a wide variety of applications and examples, ranging from coincidences and paradoxes to Google PageRank and Markov chain Monte Carlo (MCMC). Additional application areas explored include genetics, medicine, computer science, and information theory. The authors present the material in an accessible style and motivate concepts using real-world examples. Throughout, they use stories to uncover connections between the fundamental distributions in statistics and conditioning to reduce complicated problems to manageable pieces. The book includes many intuitive explanations, diagrams, and practice problems. Each chapter ends with a section showing how to perform relevant simulations and calculations in R, a free statistical software environment. The second edition adds many new examples, exercises, and explanations, to deepen understanding of the ideas, clarify subtle concepts, and respond to feedback from many students and readers. New supplementary online resources have been developed, including animations and interactive visualizations, and the book has been updated to dovetail with these resources. Supplementary material is available on Joseph Blitzstein's website www. stat110.net. The supplements include: Solutions to selected exercises Additional practice problems Handouts including review material and sample exams Animations and interactive visualizations created in connection with the edX online version of Stat 110. Links to lecture videos available on ITunes U and YouTube There is also a complete instructor's solutions manual available to instructors who require the book for a course.
LC Classification Number
QA273.B5922 2019

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