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The Resource Introduction to probability with statistical applications, Geza Schay
Introduction to probability with statistical applications, Geza Schay
Resource Information
The item Introduction to probability with statistical applications, Geza Schay represents a specific, individual, material embodiment of a distinct intellectual or artistic creation found in University of Oklahoma Libraries.This item is available to borrow from all library branches.
Resource Information
The item Introduction to probability with statistical applications, Geza Schay represents a specific, individual, material embodiment of a distinct intellectual or artistic creation found in University of Oklahoma Libraries.
This item is available to borrow from all library branches.
 Summary
 Now in its second edition, this textbook serves as an introduction to probability and statistics for nonmathematics majors who do not need the exhaustive detail and mathematical depth provided in more comprehensive treatments of the subject. The presentation covers the mathematical laws of random phenomena, including discrete and continuous random variables, expectation and variance, and common probability distributions such as the binomial, Poisson, and normal distributions. More classical examples such as Montmort's problem, the ballot problem, and Bertrand?s paradox are now included, along with applications such as the MaxwellBoltzmann and BoseEinstein distributions in physics. Key features in new edition: * 35 new exercises * Expanded section on the algebra of sets * Expanded chapters on probabilities to include more classical examples * New section on regression * Online instructors' manual containing solutions to all exercises <advanced undergraduate="" and="" graduate="" students="" in="" computer="" science, ="" engineering, ="" other="" natural="" social="" sciences="" with="" only="" a="" basic="" background="" calculus="" will="" benefit="" from="" this="" introductory="" text="" balancing="" theory="" applications. Advanced undergraduate and graduate students in computer science, engineering, and other natural and social sciences with only a basic background in calculus will benefit from this introductory text balancing theory with applications. <advanced undergraduate="" and="" graduate="" students="" in="" computer="" science, ="" engineering, ="" other="" natural="" social="" sciences="" with="" only="" a="" basic="" background="" calculus="" will="" benefit="" from="" this="" introductory="" text="" balancing="" theory="" applications. Review of the first edition: This textbook is a classical and wellwritten introduction to probability theory and statistics. ... the book is written?for an audience such as computer science students, whose mathematical background is not very strong and who do not need the detail and mathematical depth of similar books written for mathematics or statistics majors.? ... Each new concept is clearly explained and is followed by many detailed examples. ... numerous examples of calculations are given and proofs are welldetailed." (Sophie Lemaire, Mathematical Reviews, Issue 2008 m)
 Language
 eng
 Edition
 Second edition.
 Extent
 1 online resource (xii, 385 pages)
 Contents

 Introduction
 The Algebra of Events
 Combinatorial Problems
 Probabilities
 Random Variables
 Expectation, Variance, Moments
 Some Special Distributions
 The Elements of Mathematical Statistics
 Isbn
 9783319306209
 Label
 Introduction to probability with statistical applications
 Title
 Introduction to probability with statistical applications
 Statement of responsibility
 Geza Schay
 Subject

 Integral calculus & equations
 Statistics
 Statistics
 Electronic books
 Probabilities
 Computers  Mathematical & Statistical Software
 Probabilities
 Mathematics  Mathematical Analysis
 Probability & statistics
 Maths for computer scientists
 Mathematics  Probability & Statistics  General
 Mathematics  Applied
 Applied mathematics
 Language
 eng
 Summary
 Now in its second edition, this textbook serves as an introduction to probability and statistics for nonmathematics majors who do not need the exhaustive detail and mathematical depth provided in more comprehensive treatments of the subject. The presentation covers the mathematical laws of random phenomena, including discrete and continuous random variables, expectation and variance, and common probability distributions such as the binomial, Poisson, and normal distributions. More classical examples such as Montmort's problem, the ballot problem, and Bertrand?s paradox are now included, along with applications such as the MaxwellBoltzmann and BoseEinstein distributions in physics. Key features in new edition: * 35 new exercises * Expanded section on the algebra of sets * Expanded chapters on probabilities to include more classical examples * New section on regression * Online instructors' manual containing solutions to all exercises <advanced undergraduate="" and="" graduate="" students="" in="" computer="" science, ="" engineering, ="" other="" natural="" social="" sciences="" with="" only="" a="" basic="" background="" calculus="" will="" benefit="" from="" this="" introductory="" text="" balancing="" theory="" applications. Advanced undergraduate and graduate students in computer science, engineering, and other natural and social sciences with only a basic background in calculus will benefit from this introductory text balancing theory with applications. <advanced undergraduate="" and="" graduate="" students="" in="" computer="" science, ="" engineering, ="" other="" natural="" social="" sciences="" with="" only="" a="" basic="" background="" calculus="" will="" benefit="" from="" this="" introductory="" text="" balancing="" theory="" applications. Review of the first edition: This textbook is a classical and wellwritten introduction to probability theory and statistics. ... the book is written?for an audience such as computer science students, whose mathematical background is not very strong and who do not need the detail and mathematical depth of similar books written for mathematics or statistics majors.? ... Each new concept is clearly explained and is followed by many detailed examples. ... numerous examples of calculations are given and proofs are welldetailed." (Sophie Lemaire, Mathematical Reviews, Issue 2008 m)
 Cataloging source
 GW5XE
 http://library.link/vocab/creatorName
 Schay, Geza
 Dewey number
 519.2
 Illustrations
 illustrations
 Index
 index present
 LC call number
 QA273
 Literary form
 non fiction
 Nature of contents

 dictionaries
 bibliography
 http://library.link/vocab/subjectName

 Probabilities
 Statistics
 Probabilities
 Statistics
 Mathematics
 Computers
 Mathematics
 Mathematics
 Probability & statistics
 Maths for computer scientists
 Integral calculus & equations
 Applied mathematics
 Label
 Introduction to probability with statistical applications, Geza Schay
 Antecedent source
 file reproduced from an electronic resource
 Bibliography note
 Includes bibliographical references and index
 Carrier category
 online resource
 Carrier category code

 cr
 Carrier MARC source
 rdacarrier
 Color
 black and white
 Content category
 text
 Content type code

 txt
 Content type MARC source
 rdacontent
 Contents
 Introduction  The Algebra of Events  Combinatorial Problems  Probabilities  Random Variables  Expectation, Variance, Moments  Some Special Distributions  The Elements of Mathematical Statistics
 Dimensions
 unknown
 Edition
 Second edition.
 Extent
 1 online resource (xii, 385 pages)
 File format
 one file format
 Form of item
 online
 Isbn
 9783319306209
 Level of compression
 unknown
 Media category
 computer
 Media MARC source
 rdamedia
 Media type code

 c
 Note
 SpringerLink
 Other control number
 10.1007/9783319306209
 Other physical details
 illustrations
 Quality assurance targets
 unknown
 Reformatting quality
 unknown
 Specific material designation
 remote
 System control number

 (OCoLC)952019843
 (OCoLC)ocn952019843
 Label
 Introduction to probability with statistical applications, Geza Schay
 Antecedent source
 file reproduced from an electronic resource
 Bibliography note
 Includes bibliographical references and index
 Carrier category
 online resource
 Carrier category code

 cr
 Carrier MARC source
 rdacarrier
 Color
 black and white
 Content category
 text
 Content type code

 txt
 Content type MARC source
 rdacontent
 Contents
 Introduction  The Algebra of Events  Combinatorial Problems  Probabilities  Random Variables  Expectation, Variance, Moments  Some Special Distributions  The Elements of Mathematical Statistics
 Dimensions
 unknown
 Edition
 Second edition.
 Extent
 1 online resource (xii, 385 pages)
 File format
 one file format
 Form of item
 online
 Isbn
 9783319306209
 Level of compression
 unknown
 Media category
 computer
 Media MARC source
 rdamedia
 Media type code

 c
 Note
 SpringerLink
 Other control number
 10.1007/9783319306209
 Other physical details
 illustrations
 Quality assurance targets
 unknown
 Reformatting quality
 unknown
 Specific material designation
 remote
 System control number

 (OCoLC)952019843
 (OCoLC)ocn952019843
Subject
 Applied mathematics
 Computers  Mathematical & Statistical Software
 Electronic books
 Integral calculus & equations
 Mathematics  Applied
 Mathematics  Mathematical Analysis
 Mathematics  Probability & Statistics  General
 Maths for computer scientists
 Probabilities
 Probabilities
 Probability & statistics
 Statistics
 Statistics
Genre
Library Locations

Architecture LibraryBorrow itGould Hall 830 Van Vleet Oval Rm. 105, Norman, OK, 73019, US35.205706 97.445050



Chinese Literature Translation ArchiveBorrow it401 W. Brooks St., RM 414, Norman, OK, 73019, US35.207487 97.447906

Engineering LibraryBorrow itFelgar Hall 865 Asp Avenue, Rm. 222, Norman, OK, 73019, US35.205706 97.445050

Fine Arts LibraryBorrow itCatlett Music Center 500 West Boyd Street, Rm. 20, Norman, OK, 73019, US35.210371 97.448244

Harry W. Bass Business History CollectionBorrow it401 W. Brooks St., Rm. 521NW, Norman, OK, 73019, US35.207487 97.447906

History of Science CollectionsBorrow it401 W. Brooks St., Rm. 521NW, Norman, OK, 73019, US35.207487 97.447906

John and Mary Nichols Rare Books and Special CollectionsBorrow it401 W. Brooks St., Rm. 509NW, Norman, OK, 73019, US35.207487 97.447906


Price College Digital LibraryBorrow itAdams Hall 102 307 West Brooks St., Norman, OK, 73019, US35.210371 97.448244

Western History CollectionsBorrow itMonnet Hall 630 Parrington Oval, Rm. 300, Norman, OK, 73019, US35.209584 97.445414
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<div class="citation" vocab="http://schema.org/"><i class="fa faexternallinksquare fafw"></i> Data from <span resource="http://link.libraries.ou.edu/portal/Introductiontoprobabilitywithstatistical/t_mJWsaDzDA/" typeof="Book http://bibfra.me/vocab/lite/Item"><span property="name http://bibfra.me/vocab/lite/label"><a href="http://link.libraries.ou.edu/portal/Introductiontoprobabilitywithstatistical/t_mJWsaDzDA/">Introduction to probability with statistical applications, Geza Schay</a></span>  <span property="potentialAction" typeOf="OrganizeAction"><span property="agent" typeof="LibrarySystem http://library.link/vocab/LibrarySystem" resource="http://link.libraries.ou.edu/"><span property="name http://bibfra.me/vocab/lite/label"><a property="url" href="http://link.libraries.ou.edu/">University of Oklahoma Libraries</a></span></span></span></span></div>