The Resource The probability lifesaver : all the tools you need to understand chance, Steven J. Miller
The probability lifesaver : all the tools you need to understand chance, Steven J. Miller
Resource Information
The item The probability lifesaver : all the tools you need to understand chance, Steven J. Miller represents a specific, individual, material embodiment of a distinct intellectual or artistic creation found in University of San Diego Libraries.This item is available to borrow from 1 library branch.
Resource Information
The item The probability lifesaver : all the tools you need to understand chance, Steven J. Miller represents a specific, individual, material embodiment of a distinct intellectual or artistic creation found in University of San Diego Libraries.
This item is available to borrow from 1 library branch.
 Summary
 For students learning probability, its numerous applications, techniques, and methods can seem intimidating and overwhelming. That's where The Probability Lifesaver steps in. Designed to serve as a complete standalone introduction to the subject or as a supplement for a course, this accessible and userfriendly textbook helps students comfortably navigate probability's terrain and achieve positive results. The Probability Lifesaver is based on a successful course that Steven Miller has taught at Brown University, Mount Holyoke College, and Williams College. With a relaxed and informal style, Miller presents the math with thorough reviews of prerequisite materials, workedout problems of varying difficulty, and proofs. He explores a topic first to build intuition, and only after that does he dive into technical details. Coverage of topics is comprehensive, and materials are repeated for reinforcementboth in the textbook and on the book's website. An appendix goes over proof techniques, and video lectures of the course are available online. Students using this book should have some familiarity with algebra and precalculus. The Probability Lifesaver not only enables students to survive probability but also to achieve mastery of the subject for use in future courses. A helpful introduction to probability or a perfect supplement for a courseNumerous workedout examplesLectures based on the chapters are available free onlineIntuition of problems emphasized first, then technical proofs givenAppendixes review proof techniquesRelaxed, conversational approach
 Language
 eng
 Extent
 1 online resource (xxiii, 727 pages)
 Contents

 I. General theory. Introduction
 Basic probability laws
 Counting I: cards
 Conditional probability, independence, and Bayes' theorem
 Counting II: inclusionexclusion
 Counting III: advanced combinatorics
 II. Introduction to random variables. Introduction to discrete random variables
 Introduction to continuous random variables
 Tools: expectation
 Tools: Convolutions and changing variables
 Tools: differentiating identities
 III. Special distributions. Discrete distributions
 Continuous random variables: uniform and exponential
 Continuous random variables: the normal distribution
 The gamma function and related distributions
 The chisquare distribution
 IV. Limit theorems. Inequalities and laws of large numbers
 Stirling's formula
 Generating functions and convolutions
 Proof of the central limit theorem
 Fourier analysis and the central limit theorem
 V. Additional topics. Hypothesis testing
 Difference equations, Markov processes, and probability
 The method of least squares
 Two famous problems and some coding
 Isbn
 9781400885381
 Label
 The probability lifesaver : all the tools you need to understand chance
 Title
 The probability lifesaver
 Title remainder
 all the tools you need to understand chance
 Statement of responsibility
 Steven J. Miller
 Language
 eng
 Summary
 For students learning probability, its numerous applications, techniques, and methods can seem intimidating and overwhelming. That's where The Probability Lifesaver steps in. Designed to serve as a complete standalone introduction to the subject or as a supplement for a course, this accessible and userfriendly textbook helps students comfortably navigate probability's terrain and achieve positive results. The Probability Lifesaver is based on a successful course that Steven Miller has taught at Brown University, Mount Holyoke College, and Williams College. With a relaxed and informal style, Miller presents the math with thorough reviews of prerequisite materials, workedout problems of varying difficulty, and proofs. He explores a topic first to build intuition, and only after that does he dive into technical details. Coverage of topics is comprehensive, and materials are repeated for reinforcementboth in the textbook and on the book's website. An appendix goes over proof techniques, and video lectures of the course are available online. Students using this book should have some familiarity with algebra and precalculus. The Probability Lifesaver not only enables students to survive probability but also to achieve mastery of the subject for use in future courses. A helpful introduction to probability or a perfect supplement for a courseNumerous workedout examplesLectures based on the chapters are available free onlineIntuition of problems emphasized first, then technical proofs givenAppendixes review proof techniquesRelaxed, conversational approach
 Cataloging source
 IDEBK
 http://library.link/vocab/creatorDate
 1974
 http://library.link/vocab/creatorName
 Miller, Steven J.
 Index
 index present
 Language note
 In English
 LC call number
 QA273
 LC item number
 .M55185 2017eb
 Literary form
 non fiction
 Nature of contents

 dictionaries
 bibliography
 Series statement
 A Princeton lifesaver study guide
 http://library.link/vocab/subjectName

 Probabilities
 Chance
 Games of chance (Mathematics)
 Random variables
 Chance
 Games of chance (Mathematics)
 Probabilities
 Random variables
 Label
 The probability lifesaver : all the tools you need to understand chance, Steven J. Miller
 Bibliography note
 Includes bibliographical references and index
 Carrier category
 online resource
 Carrier category code

 cr
 Carrier MARC source
 rdacarrier
 Content category
 text
 Content type code

 txt
 Content type MARC source
 rdacontent
 Contents
 I. General theory. Introduction  Basic probability laws  Counting I: cards  Conditional probability, independence, and Bayes' theorem  Counting II: inclusionexclusion  Counting III: advanced combinatorics  II. Introduction to random variables. Introduction to discrete random variables  Introduction to continuous random variables  Tools: expectation  Tools: Convolutions and changing variables  Tools: differentiating identities  III. Special distributions. Discrete distributions  Continuous random variables: uniform and exponential  Continuous random variables: the normal distribution  The gamma function and related distributions  The chisquare distribution  IV. Limit theorems. Inequalities and laws of large numbers  Stirling's formula  Generating functions and convolutions  Proof of the central limit theorem  Fourier analysis and the central limit theorem  V. Additional topics. Hypothesis testing  Difference equations, Markov processes, and probability  The method of least squares  Two famous problems and some coding
 Control code
 987017971
 Dimensions
 unknown
 Extent
 1 online resource (xxiii, 727 pages)
 Form of item
 online
 Isbn
 9781400885381
 Media category
 computer
 Media MARC source
 rdamedia
 Media type code

 c
 Note
 LIBRARY COPY INCLUDES 1USER PERPETUAL ACCESS TO EBOOK
 Other control number
 10.1515/9781400885381
 http://library.link/vocab/ext/overdrive/overdriveId
 1005451
 Specific material designation
 remote
 System control number
 (OCoLC)987017971
 Label
 The probability lifesaver : all the tools you need to understand chance, Steven J. Miller
 Bibliography note
 Includes bibliographical references and index
 Carrier category
 online resource
 Carrier category code

 cr
 Carrier MARC source
 rdacarrier
 Content category
 text
 Content type code

 txt
 Content type MARC source
 rdacontent
 Contents
 I. General theory. Introduction  Basic probability laws  Counting I: cards  Conditional probability, independence, and Bayes' theorem  Counting II: inclusionexclusion  Counting III: advanced combinatorics  II. Introduction to random variables. Introduction to discrete random variables  Introduction to continuous random variables  Tools: expectation  Tools: Convolutions and changing variables  Tools: differentiating identities  III. Special distributions. Discrete distributions  Continuous random variables: uniform and exponential  Continuous random variables: the normal distribution  The gamma function and related distributions  The chisquare distribution  IV. Limit theorems. Inequalities and laws of large numbers  Stirling's formula  Generating functions and convolutions  Proof of the central limit theorem  Fourier analysis and the central limit theorem  V. Additional topics. Hypothesis testing  Difference equations, Markov processes, and probability  The method of least squares  Two famous problems and some coding
 Control code
 987017971
 Dimensions
 unknown
 Extent
 1 online resource (xxiii, 727 pages)
 Form of item
 online
 Isbn
 9781400885381
 Media category
 computer
 Media MARC source
 rdamedia
 Media type code

 c
 Note
 LIBRARY COPY INCLUDES 1USER PERPETUAL ACCESS TO EBOOK
 Other control number
 10.1515/9781400885381
 http://library.link/vocab/ext/overdrive/overdriveId
 1005451
 Specific material designation
 remote
 System control number
 (OCoLC)987017971
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