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  • 1
    Online Resource
    Online Resource
    Laws of Large Numbers for Normed Linear Spaces and Certain Fréchet Spaces (1973)
    Berlin, Heidelberg : Springer Berlin Heidelberg
    Details
    UID:
    gbv_1655114204
    Format: Online-Ressource (VIII, 116 p, online resource)
    ISBN: 9783540379041 , 9783540065852
    Series Statement: Lecture Notes in Mathematics 360
    Content: General introduction -- Mathematical preliminaries -- Random elements in separable metric spaces -- Laws of large numbers for random variables and separable Hilbert spaces -- Strong laws of large numbers for normed linear spaces -- Weak laws of large numbers for normed linear spaces -- Laws of large numbers for Fréchet spaces -- Some applications.
    Additional Edition: ISBN 9783540065852
    Additional Edition: Erscheint auch als Druck-Ausgabe Padgett, William Jowayne Laws of large numbers for normed linear spaces and certain Fréchet spaces Berlin [West], Heidelberg, New York : Springer, 1973 ISBN 0387065857
    Additional Edition: ISBN 3540065857
    Language: English
    Subjects: Economics , Mathematics
    RVK:
    SI 850
    RVK:
    SK 800
    RVK:
    QH 170
    Keywords: Normierter Raum ; Gesetz der großen Zahlen ; Fréchet-Raum ; Gesetz der großen Zahlen ; Gesetz der großen Zahlen ; Wahrscheinlichkeitsrechnung
    DOI: 10.1007/BFb0069731
    URL: Volltext  (lizenzpflichtig)
    URL: Volltext  (Deutschlandweit zugänglich)
    URL: Cover
    Library Location Call Number Volume/Issue/Year Availability
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    Online Resource
    Online Access
    Open Access Request
    Stabi Berlin
    UB Potsdam
  • 2
    Book
    Book
    Laws of large numbers for normed linear spaces and certain Fréchet spaces (1973)
    Berlin [West], Heidelberg, New York : Springer
    Details
    UID:
    gbv_022304924
    Format: VI, 111 S.
    ISBN: 0387065857 , 3540065857
    Series Statement: Lecture notes in mathematics 360
    Note: Literaturverz. S. [104] - 111
    Additional Edition: Online-Ausg. Padgett, William Jowayne Laws of Large Numbers for Normed Linear Spaces and Certain Fréchet Spaces Berlin, Heidelberg : Springer Berlin Heidelberg, 1973 ISBN 9783540379041
    Additional Edition: ISBN 9783540065852
    Language: English
    Subjects: Economics , Mathematics
    RVK:
    SI 850
    RVK:
    SK 800
    RVK:
    QH 170
    Keywords: Normierter Raum ; Gesetz der großen Zahlen ; Fréchet-Raum ; Gesetz der großen Zahlen ; Gesetz der großen Zahlen ; Wahrscheinlichkeitsrechnung
    URL: Cover
    URL: Inhaltsverzeichnis
    Library Location Call Number Volume/Issue/Year Availability
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    Book
    Stabi Berlin get availability status
  • 3
    Online Resource
    Online Resource
    Parametric and Nonparametric Inference from Record-Breaking Data (2003)
    New York, NY : Springer
    Details
    UID:
    gbv_1655423800
    Format: Online-Ressource (VIII, 117 p, online resource)
    ISBN: 9780387215495
    Series Statement: Lecture Notes in Statistics 172
    Content: This book provides a comprehensive look at statistical inference from record-breaking data in both parametric and nonparametric settings, including Bayesian inference. A unique feature is that it treats the area of nonparametric function estimation from such data in detail, gathering results on this topic to date in one accessible volume. Previous books on records have focused mainly on the probabilistic behavior of records, prediction of future records, and characterizations of the distributions of record values, addressing some inference methods only briefly. The main purpose of this book is to fill this void on general inference from record values. Statisticians, mathematicians, and engineers will find the book useful as a research reference and in learning about making inferences from record-breaking data. The book can also serve as part of a graduate- level statistics or mathematics course, complementing material on the probabilistic aspects of record values. For a basic understanding of the statistical concepts, a one-year graduate course in mathematical statistics provides sufficient background. For a detailed understanding of the convergence theory of the nonparametric function estimators, a course in measure theory or probability theory at the graduate level is useful. Sneh Gulati is Associate Professor of Statistics at Florida International University in Miami. She is currently an associate editor of the Journal of Statistical Computation and Simulation and has published several articles in statistics. Currently she serves as the president of the South Florida Chapter of the American Statistical Association and is also the chair of the Florida Commission of Hurricane Loss Projection Methodology. William J. Padgett is Professor of Statistics and was the founding Chair of the Department of Statistics at the University of South
    Additional Edition: ISBN 9780387001388
    Additional Edition: Erscheint auch als Druck-Ausgabe Gulati, Sneh Parametric and nonparametric inference from record-breaking data New York : Springer, 2003 ISBN 0387001387
    Language: English
    Subjects: Mathematics
    RVK:
    SI 856
    Keywords: Statistische Schlussweise ; Parametrisches Verfahren ; Nichtparametrisches Verfahren
    DOI: 10.1007/978-0-387-21549-5
    URL: Volltext  (lizenzpflichtig)
    URL: Inhaltsverzeichnis
    URL: Cover
    URL: Inhaltstext
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
    Online Resource
    Online Access
    Open Access Request
    UB Potsdam
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