The Resource Introduction to Probability with Statistical Applications, by Géza Schay, (electronic resource)
Introduction to Probability with Statistical Applications, by Géza Schay, (electronic resource)
Resource Information
The item Introduction to Probability with Statistical Applications, by Géza Schay, (electronic resource) represents a specific, individual, material embodiment of a distinct intellectual or artistic creation found in European University Institute.This item is available to borrow from 1 library branch.
Resource Information
The item Introduction to Probability with Statistical Applications, by Géza Schay, (electronic resource) represents a specific, individual, material embodiment of a distinct intellectual or artistic creation found in European University Institute.
This item is available to borrow from 1 library branch.
 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, and other natural and social sciences with only a basic background in calculus will benefit from this introductory text balancing theory with 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
 2nd ed. 2016.
 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
 by Géza Schay
 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, and other natural and social sciences with only a basic background in calculus will benefit from this introductory text balancing theory with 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).
 Assigning source
 Provided by publisher
 http://library.link/vocab/creatorName
 Schay, Geza
 Dewey number
 223
 Image bit depth
 0
 Literary form
 non fiction
 Nature of contents
 dictionaries
 Series statement
 Springer eBooks
 http://library.link/vocab/subjectName

 Mathematics
 Mathematical statistics
 Measure theory
 Applied mathematics
 Engineering mathematics
 Probabilities
 Statistics
 Label
 Introduction to Probability with Statistical Applications, by Géza Schay, (electronic resource)
 Antecedent source
 mixed
 Carrier category
 online resource
 Carrier category code

 cr
 Carrier MARC source
 rdacarrier.
 Color
 not applicable
 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
 Control code
 9783319306209
 Dimensions
 unknown
 Edition
 2nd ed. 2016.
 Extent
 1 online resource (XII, 385 pages)
 File format
 multiple file formats
 Form of item

 online
 electronic
 Governing access note
 Use of this electronic resource may be governed by a license agreement which restricts use to the European University Institute community. Each user is responsible for limiting use to individual, noncommercial purposes, without systematically downloading, distributing, or retaining substantial portions of information, provided that all copyright and other proprietary notices contained on the materials are retained. The use of software, including scripts, agents, or robots, is generally prohibited and may result in the loss of access to these resources for the entire European University Institute community
 Isbn
 9783319306209
 Level of compression
 uncompressed
 Media category
 computer
 Media MARC source
 rdamedia.
 Media type code

 c
 Other control number
 10.1007/9783319306209
 Other physical details
 49 illustrations.
 Quality assurance targets
 absent
 Reformatting quality
 access
 Specific material designation
 remote
 System control number
 (OCoLC)952019843
 Label
 Introduction to Probability with Statistical Applications, by Géza Schay, (electronic resource)
 Antecedent source
 mixed
 Carrier category
 online resource
 Carrier category code

 cr
 Carrier MARC source
 rdacarrier.
 Color
 not applicable
 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
 Control code
 9783319306209
 Dimensions
 unknown
 Edition
 2nd ed. 2016.
 Extent
 1 online resource (XII, 385 pages)
 File format
 multiple file formats
 Form of item

 online
 electronic
 Governing access note
 Use of this electronic resource may be governed by a license agreement which restricts use to the European University Institute community. Each user is responsible for limiting use to individual, noncommercial purposes, without systematically downloading, distributing, or retaining substantial portions of information, provided that all copyright and other proprietary notices contained on the materials are retained. The use of software, including scripts, agents, or robots, is generally prohibited and may result in the loss of access to these resources for the entire European University Institute community
 Isbn
 9783319306209
 Level of compression
 uncompressed
 Media category
 computer
 Media MARC source
 rdamedia.
 Media type code

 c
 Other control number
 10.1007/9783319306209
 Other physical details
 49 illustrations.
 Quality assurance targets
 absent
 Reformatting quality
 access
 Specific material designation
 remote
 System control number
 (OCoLC)952019843
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<div class="citation" vocab="http://schema.org/"><i class="fa faexternallinksquare fafw"></i> Data from <span resource="http://link.library.eui.eu/portal/IntroductiontoProbabilitywithStatistical/zhS5qUnP1F0/" typeof="Book http://bibfra.me/vocab/lite/Item"><span property="name http://bibfra.me/vocab/lite/label"><a href="http://link.library.eui.eu/portal/IntroductiontoProbabilitywithStatistical/zhS5qUnP1F0/">Introduction to Probability with Statistical Applications, by Géza Schay, (electronic resource)</a></span>  <span property="potentialAction" typeOf="OrganizeAction"><span property="agent" typeof="LibrarySystem http://library.link/vocab/LibrarySystem" resource="http://link.library.eui.eu/"><span property="name http://bibfra.me/vocab/lite/label"><a property="url" href="http://link.library.eui.eu/">European University Institute</a></span></span></span></span></div>