The Resource A basic course in measure and probability : theory for applications, Ross Leadbetter, Stamatis Cambanis, Vladas Pipiras
A basic course in measure and probability : theory for applications, Ross Leadbetter, Stamatis Cambanis, Vladas Pipiras
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The item A basic course in measure and probability : theory for applications, Ross Leadbetter, Stamatis Cambanis, Vladas Pipiras represents a specific, individual, material embodiment of a distinct intellectual or artistic creation found in Brigham Young University.This item is available to borrow from 1 library branch.
Resource Information
The item A basic course in measure and probability : theory for applications, Ross Leadbetter, Stamatis Cambanis, Vladas Pipiras represents a specific, individual, material embodiment of a distinct intellectual or artistic creation found in Brigham Young University.
This item is available to borrow from 1 library branch.
 Summary
 "Originating from the authors' own graduate course at the University of North Carolina, this material has been thoroughly tried and tested over many years, making the book perfect for a twoterm course or for selfstudy. It provides a concise introduction that covers all of the measure theory and probability most useful for statisticians, including Lebesgue integration, limit theorems in probability, martingales, and some theory of stochastic processes. Readers can test their understanding of the material through the 300 exercises provided. The book is especially useful for graduate students in statistics and related fields of application (biostatistics, econometrics, finance, meteorology, machine learning, and so on) who want to shore up their mathematical foundation. The authors establish common ground for students of varied interests which will serve as a firm 'takeoff point' for them as they specialize in areas that exploit mathematical machinery"
 Language
 eng
 Extent
 xiv, 360 pages
 Note
 Includes index
 Contents

 Machine generated contents note: Preface; Acknowledgements; 1. Point sets and certain classes of sets; 2. Measures: general properties and extension; 3. Measurable functions and transformations; 4. The integral; 5. Absolute continuity and related topics; 6. Convergence of measurable functions, Lpspaces; 7. Product spaces; 8. Integrating complex functions, Fourier theory and related topics; 9. Foundations of probability; 10. Independence; 11. Convergence and related topics; 12. Characteristic functions and central limit theorems; 13. Conditioning; 14. Martingales; 15. Basic structure of stochastic processes; References; Index
 Isbn
 9781107020405
 Label
 A basic course in measure and probability : theory for applications
 Title
 A basic course in measure and probability
 Title remainder
 theory for applications
 Statement of responsibility
 Ross Leadbetter, Stamatis Cambanis, Vladas Pipiras
 Language
 eng
 Summary
 "Originating from the authors' own graduate course at the University of North Carolina, this material has been thoroughly tried and tested over many years, making the book perfect for a twoterm course or for selfstudy. It provides a concise introduction that covers all of the measure theory and probability most useful for statisticians, including Lebesgue integration, limit theorems in probability, martingales, and some theory of stochastic processes. Readers can test their understanding of the material through the 300 exercises provided. The book is especially useful for graduate students in statistics and related fields of application (biostatistics, econometrics, finance, meteorology, machine learning, and so on) who want to shore up their mathematical foundation. The authors establish common ground for students of varied interests which will serve as a firm 'takeoff point' for them as they specialize in areas that exploit mathematical machinery"
 Assigning source
 Provided by publisher
 Cataloging source
 DLC
 Dewey number
 515/.42
 Index
 index present
 LC call number
 QC20.7.M43
 LC item number
 L43 2014
 Literary form
 non fiction
 Label
 A basic course in measure and probability : theory for applications, Ross Leadbetter, Stamatis Cambanis, Vladas Pipiras
 Note
 Includes index
 Carrier category
 volume
 Carrier MARC source
 rdacarrier
 Content category
 text
 Content type MARC source
 rdacontent
 Contents
 Machine generated contents note: Preface; Acknowledgements; 1. Point sets and certain classes of sets; 2. Measures: general properties and extension; 3. Measurable functions and transformations; 4. The integral; 5. Absolute continuity and related topics; 6. Convergence of measurable functions, Lpspaces; 7. Product spaces; 8. Integrating complex functions, Fourier theory and related topics; 9. Foundations of probability; 10. Independence; 11. Convergence and related topics; 12. Characteristic functions and central limit theorems; 13. Conditioning; 14. Martingales; 15. Basic structure of stochastic processes; References; Index
 Dimensions
 24 cm
 Extent
 xiv, 360 pages
 Isbn
 9781107020405
 Isbn Type
 (hardback)
 Lccn
 2013028841
 Media category
 unmediated
 Media MARC source
 rdamedia
 System control number

 (OCoLC)ocn854541699
 UtOrBLW
 (OCoLC)ocn889310591
 Label
 A basic course in measure and probability : theory for applications, Ross Leadbetter, Stamatis Cambanis, Vladas Pipiras
 Note
 Includes index
 Carrier category
 volume
 Carrier MARC source
 rdacarrier
 Content category
 text
 Content type MARC source
 rdacontent
 Contents
 Machine generated contents note: Preface; Acknowledgements; 1. Point sets and certain classes of sets; 2. Measures: general properties and extension; 3. Measurable functions and transformations; 4. The integral; 5. Absolute continuity and related topics; 6. Convergence of measurable functions, Lpspaces; 7. Product spaces; 8. Integrating complex functions, Fourier theory and related topics; 9. Foundations of probability; 10. Independence; 11. Convergence and related topics; 12. Characteristic functions and central limit theorems; 13. Conditioning; 14. Martingales; 15. Basic structure of stochastic processes; References; Index
 Dimensions
 24 cm
 Extent
 xiv, 360 pages
 Isbn
 9781107020405
 Isbn Type
 (hardback)
 Lccn
 2013028841
 Media category
 unmediated
 Media MARC source
 rdamedia
 System control number

 (OCoLC)ocn854541699
 UtOrBLW
 (OCoLC)ocn889310591
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<div class="citation" vocab="http://schema.org/"><i class="fa faexternallinksquare fafw"></i> Data from <span resource="http://link.lib.byu.edu/portal/Abasiccourseinmeasureandprobability/98Gvq9MKI20/" typeof="Book http://bibfra.me/vocab/lite/Item"><span property="name http://bibfra.me/vocab/lite/label"><a href="http://link.lib.byu.edu/portal/Abasiccourseinmeasureandprobability/98Gvq9MKI20/">A basic course in measure and probability : theory for applications, Ross Leadbetter, Stamatis Cambanis, Vladas Pipiras</a></span>  <span property="potentialAction" typeOf="OrganizeAction"><span property="agent" typeof="LibrarySystem http://library.link/vocab/LibrarySystem" resource="http://link.lib.byu.edu/"><span property="name http://bibfra.me/vocab/lite/label"><a property="url" href="http://link.lib.byu.edu/">Brigham Young University</a></span></span></span></span></div>