Introduction to Probability with R
Baclawski, Kenneth
FOREWORD PREFACE Sets, Events, and Probability The Algebra of Sets The Bernoulli Sample Space The Algebra of Multisets The Concept of Probability Properties of Probability Measures Independent Events The Bernoulli Process The R Language Finite Processes The Basic Models Counting Rules Computing Factorials The Second Rule of Counting Computing Probabilities Discrete Random Variables The Bernoulli Process: Tossing a Coin The Bernoulli Process: Random Walk Independence and Joint Distributions Expectations The Inclusion-Exclusion Principle General Random Variable.
Abstract: Presents R programs and animations to provide an understanding of how to model natural phenomena from a probabilistic point of view. This work centers on viewing probability as a way to look at the world and shows how to combine and link stochastic processes to form complex processes that are better models of natural phenomena.
Abstract: Presents R programs and animations to provide an understanding of how to model natural phenomena from a probabilistic point of view. This work centers on viewing probability as a way to look at the world and shows how to combine and link stochastic processes to form complex processes that are better models of natural phenomena.
درجه (قاطیغوری(:
کال:
2008
خپرندویه اداره:
CRC Press
ژبه:
english
صفحه:
381
ISBN 10:
142006522X
ISBN 13:
9781420065220
لړ (سلسله):
Chapman & Hall/CRC Texts in Statistical Science
فایل:
PDF, 3.87 MB
IPFS:
,
english, 2008
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