The Resource Probability for statisticians, Galen R. Shorack
Probability for statisticians, Galen R. Shorack
Resource Information
The item Probability for statisticians, Galen R. Shorack represents a specific, individual, material embodiment of a distinct intellectual or artistic creation found in University of Missouri Libraries.This item is available to borrow from 1 library branch.
Resource Information
The item Probability for statisticians, Galen R. Shorack represents a specific, individual, material embodiment of a distinct intellectual or artistic creation found in University of Missouri Libraries.
This item is available to borrow from 1 library branch.
 Summary

 "Probability for Statisticians is intended as a text for a one year graduate course aimed especially at students in statistics. The choice of examples illustrates this intention clearly. The material to be presented in the classroom constitutes a bit more than half the text, and the choices the author makes at the University of Washington in Seattle are spelled out. The rest of the text provides background, offers different routes that could be pursued in the classroom, ad offers additional material that is appropriate for selfstudy. Of particular interest is a presentation of the major central limit theorems via Stein's method either prior to or alternative to a characteristic funcion presentation. Additionally, there is considerable emphasis placed on the quantile function as well as the distribution function. The bootstrap and trimming are both presented. The martingale coverage includes coverage of censored data martingales. The text includes measure theoretic preliminaries, from which the authors own course typically includes selected coverage. The author is a professor of Statistics and adjunct professor of Mathematics at the University of Washington in Seattle. He served as chair of the Department of Statistics 1986 1989. He received his PhD in Statistics from Stanford University. He is a fellow of the Institute of Mathematical Statistics, and is a former associate editor of the Annals of Statistics."Back cover
 "The choice of examples used in this text clearly illustrate its use for a oneyear graduate course. The material to be presented in the classroom constitutes a little more than half the text, while the rest of the text provides background, offers different routes that could be pursued in the classroom, as well as additional material that is appropriate for selfstudy. Of particular interest is a presentation of the major central limit theorems via Stein method either prior to or alternative to a characteristic function presentation. Additionally, there is considerable emphasis placed on the quantile function as well as the distribution function, with both the bootstrap and trimming presented. The section on martingales covers censored data martingales."BOOK JACKET
 Language
 eng
 Extent
 xvii, 585 pages
 Contents

 1. Measures
 2. Measurable Functions and Convergence
 3. Integration
 4. Derivatives via Signed Measures
 5. Measures and Processes on Products
 6. General Topology and Hilbert Space
 7. Distribution and Quantile Functions
 8. Independence and Conditional Distributions
 9. Special Distributions
 10. WLLN, SLLN, LIL, and Series
 11. Convergence in Distribution
 12. Brownian Motion and Empirical Processes
 13. Characteristic Functions
 14. CLTs via Characteristic
 15. Infinitely Divisible and Stable Distributions
 16. Asymptotics via Empirical Processes
 17. Asymptotics via Stein's Approach
 18. Martingales
 19. Convergence in Law on Metric Spaces
 Isbn
 9780387989532
 Label
 Probability for statisticians
 Title
 Probability for statisticians
 Statement of responsibility
 Galen R. Shorack
 Language
 eng
 Summary

 "Probability for Statisticians is intended as a text for a one year graduate course aimed especially at students in statistics. The choice of examples illustrates this intention clearly. The material to be presented in the classroom constitutes a bit more than half the text, and the choices the author makes at the University of Washington in Seattle are spelled out. The rest of the text provides background, offers different routes that could be pursued in the classroom, ad offers additional material that is appropriate for selfstudy. Of particular interest is a presentation of the major central limit theorems via Stein's method either prior to or alternative to a characteristic funcion presentation. Additionally, there is considerable emphasis placed on the quantile function as well as the distribution function. The bootstrap and trimming are both presented. The martingale coverage includes coverage of censored data martingales. The text includes measure theoretic preliminaries, from which the authors own course typically includes selected coverage. The author is a professor of Statistics and adjunct professor of Mathematics at the University of Washington in Seattle. He served as chair of the Department of Statistics 1986 1989. He received his PhD in Statistics from Stanford University. He is a fellow of the Institute of Mathematical Statistics, and is a former associate editor of the Annals of Statistics."Back cover
 "The choice of examples used in this text clearly illustrate its use for a oneyear graduate course. The material to be presented in the classroom constitutes a little more than half the text, while the rest of the text provides background, offers different routes that could be pursued in the classroom, as well as additional material that is appropriate for selfstudy. Of particular interest is a presentation of the major central limit theorems via Stein method either prior to or alternative to a characteristic function presentation. Additionally, there is considerable emphasis placed on the quantile function as well as the distribution function, with both the bootstrap and trimming presented. The section on martingales covers censored data martingales."BOOK JACKET
 Cataloging source
 DLC
 http://library.link/vocab/creatorDate
 1939
 http://library.link/vocab/creatorName
 Shorack, Galen R.
 Dewey number
 519.2
 Illustrations
 illustrations
 Index
 index present
 LC call number
 QA273
 LC item number
 .S548 2000
 Literary form
 non fiction
 Nature of contents
 bibliography
 Series statement
 Springer texts in statistics
 http://library.link/vocab/subjectName
 Probabilities
 Label
 Probability for statisticians, Galen R. Shorack
 Bibliography note
 Includes bibliographical references (pages 568574) and index
 Carrier category
 volume
 Carrier category code

 nc
 Carrier MARC source
 rdacarrier
 Content category
 text
 Content type code

 txt
 Content type MARC source
 rdacontent
 Contents
 1. Measures  2. Measurable Functions and Convergence  3. Integration  4. Derivatives via Signed Measures  5. Measures and Processes on Products  6. General Topology and Hilbert Space  7. Distribution and Quantile Functions  8. Independence and Conditional Distributions  9. Special Distributions  10. WLLN, SLLN, LIL, and Series  11. Convergence in Distribution  12. Brownian Motion and Empirical Processes  13. Characteristic Functions  14. CLTs via Characteristic  15. Infinitely Divisible and Stable Distributions  16. Asymptotics via Empirical Processes  17. Asymptotics via Stein's Approach  18. Martingales  19. Convergence in Law on Metric Spaces
 Control code
 42683038
 Dimensions
 24 cm
 Extent
 xvii, 585 pages
 Isbn
 9780387989532
 Isbn Type
 (hc : acidfree paper)
 Lccn
 99053670
 Media category
 unmediated
 Media MARC source
 rdamedia
 Media type code

 n
 Other physical details
 illustrations
 Label
 Probability for statisticians, Galen R. Shorack
 Bibliography note
 Includes bibliographical references (pages 568574) and index
 Carrier category
 volume
 Carrier category code

 nc
 Carrier MARC source
 rdacarrier
 Content category
 text
 Content type code

 txt
 Content type MARC source
 rdacontent
 Contents
 1. Measures  2. Measurable Functions and Convergence  3. Integration  4. Derivatives via Signed Measures  5. Measures and Processes on Products  6. General Topology and Hilbert Space  7. Distribution and Quantile Functions  8. Independence and Conditional Distributions  9. Special Distributions  10. WLLN, SLLN, LIL, and Series  11. Convergence in Distribution  12. Brownian Motion and Empirical Processes  13. Characteristic Functions  14. CLTs via Characteristic  15. Infinitely Divisible and Stable Distributions  16. Asymptotics via Empirical Processes  17. Asymptotics via Stein's Approach  18. Martingales  19. Convergence in Law on Metric Spaces
 Control code
 42683038
 Dimensions
 24 cm
 Extent
 xvii, 585 pages
 Isbn
 9780387989532
 Isbn Type
 (hc : acidfree paper)
 Lccn
 99053670
 Media category
 unmediated
 Media MARC source
 rdamedia
 Media type code

 n
 Other physical details
 illustrations
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<div class="citation" vocab="http://schema.org/"><i class="fa faexternallinksquare fafw"></i> Data from <span resource="http://link.library.missouri.edu/portal/ProbabilityforstatisticiansGalenR./y7zdyg9jy_8/" typeof="Book http://bibfra.me/vocab/lite/Item"><span property="name http://bibfra.me/vocab/lite/label"><a href="http://link.library.missouri.edu/portal/ProbabilityforstatisticiansGalenR./y7zdyg9jy_8/">Probability for statisticians, Galen R. Shorack</a></span>  <span property="potentialAction" typeOf="OrganizeAction"><span property="agent" typeof="LibrarySystem http://library.link/vocab/LibrarySystem" resource="http://link.library.missouri.edu/"><span property="name http://bibfra.me/vocab/lite/label"><a property="url" href="http://link.library.missouri.edu/">University of Missouri Libraries</a></span></span></span></span></div>