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Convergence of probability measures Patrick Billingsley

By: Billingsley, Patrick
Material type: Computer fileComputer fileLanguage: English Series: Wiley series in probability and statistics Probability and statistics sectionPublisher: New York, NY [u.a.] Wiley 1999Edition: 2. edDescription: Online-Ressource (Text + Images)Content type: Text Media type: Computermedien Carrier type: Online-RessourceISBN: 9780470316962; 1282307487 (ebk); 9781282307483 (MyiLibrary); 9780470317808 (electronic); 9780471197454 (print); 1282307444 (print); 0471197459 (print; hbk.); 9780471197454 (print; hbk.)Subject(s): Wahrscheinlichkeitsmaß | Schwache Konvergenz | Wahrscheinlichkeitsmaß | Metrischer Raum | Schwache Konvergenz | Probability measures | Metric spaces | Convergence | Probability measures | Metric spaces | Convergence | Online-PublikationAdditional physical formats: No title; No titleDDC classification: 519.2 LOC classification: QA273.6Other classification: 31.70 | 17,1 | mat Online resources: Click here to access online | Connect to MyiLibrary resource Volltext | Volltext | John Wiley | Volltext | Volltext | Inhaltsverzeichnis | Autorenbiografie | Verlagsangaben | Zentralblatt MATH Inhaltstext
Contents:
Convergence of Probability Measures; CONTENTS; Introduction; Chapter 1. Weak convergence in Metric Spaces; Chapter 2. The Space C; Chapter 3. The Space D; Chapter 4. Dependent Variables; Chapter 5. Other Modes of Convergence; Appendix M; Some Notes on the Problems; Bibliographical Notes; Bibliography; Index..
Summary: A new look at weak-convergence methods in metric spaces-from a master of probability theory In this new edition, Patrick Billingsley updates his classic work Convergence of Probability Measures to reflect developments of the past thirty years. Widely known for his straightforward approach and reader-friendly style, Dr. Billingsley presents a clear, precise, up-to-date account of probability limit theory in metric spaces. He incorporates many examples and applications that illustrate the power and utility of this theory in a range of disciplines-from analysis and number theory to statistics, enSummary: A new look at weak-convergence methods in metric spaces-from a master of probability theory In this new edition, Patrick Billingsley updates his classic work Convergence of Probability Measures to reflect developments of the past thirty years. Widely known for his straightforward approach and reader-friendly style, Dr. Billingsley presents a clear, precise, up-to-date account of probability limit theory in metric spaces. He incorporates many examples and applications that illustrate the power and utility of this theory in a range of disciplines-from analysis and number theory to statistics, en
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Erdős Group 519.1 (Browse shelf) Not for loan
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A Wiley-Interscience publication

Convergence of Probability Measures; CONTENTS; Introduction; Chapter 1. Weak convergence in Metric Spaces; Chapter 2. The Space C; Chapter 3. The Space D; Chapter 4. Dependent Variables; Chapter 5. Other Modes of Convergence; Appendix M; Some Notes on the Problems; Bibliographical Notes; Bibliography; Index..

A new look at weak-convergence methods in metric spaces-from a master of probability theory In this new edition, Patrick Billingsley updates his classic work Convergence of Probability Measures to reflect developments of the past thirty years. Widely known for his straightforward approach and reader-friendly style, Dr. Billingsley presents a clear, precise, up-to-date account of probability limit theory in metric spaces. He incorporates many examples and applications that illustrate the power and utility of this theory in a range of disciplines-from analysis and number theory to statistics, en

A new look at weak-convergence methods in metric spaces-from a master of probability theory In this new edition, Patrick Billingsley updates his classic work Convergence of Probability Measures to reflect developments of the past thirty years. Widely known for his straightforward approach and reader-friendly style, Dr. Billingsley presents a clear, precise, up-to-date account of probability limit theory in metric spaces. He incorporates many examples and applications that illustrate the power and utility of this theory in a range of disciplines-from analysis and number theory to statistics, en

Online-Ausg. 2008 Electronic reproduction; Available via World Wide Web |2008||||||||||

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