Statistical Functionals, Stopping Times and Asymptotic Minimum Risk Property PDF Download
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Author: Pranab Kumar Sen
Publisher:
ISBN:
Category : Asymptotic distribution (Probability theory)
Languages : en
Pages :
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Author: Pranab Kumar Sen
Publisher:
ISBN:
Category : Asymptotic distribution (Probability theory)
Languages : en
Pages :
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Author: B. Grigelionis
Publisher: Walter de Gruyter GmbH & Co KG
ISBN: 3112319028
Category : Mathematics
Languages : en
Pages : 624
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No detailed description available for "PROB. TH. MATH. ST. ( GRIGELIONIS) VOL. 2 PROC.5/1989 E-BOOK".
Author: Jana Jurecková
Publisher: John Wiley & Sons
ISBN: 9780471822219
Category : Mathematics
Languages : en
Pages : 496
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A broad and unified methodology for robust statistics—with exciting new applications Robust statistics is one of the fastest growing fields in contemporary statistics. It is also one of the more diverse and sometimes confounding areas, given the many different assessments and interpretations of robustness by theoretical and applied statisticians. This innovative book unifies the many varied, yet related, concepts of robust statistics under a sound theoretical modulation. It seamlessly integrates asymptotics and interrelations, and provides statisticians with an effective system for dealing with the interrelations between the various classes of procedures. Drawing on the expertise of researchers from around the world, and covering over a decade's worth of developments in the field, Robust Statistical Procedures: Asymptotics and Interrelations: Discusses both theory and applications in its two parts, from the fundamentals to robust statistical inference Thoroughly explores the interrelations between diverse classes of procedures, unlike any other book Compares nonparametric procedures with robust statistics, explaining in detail asymptotic representations for various estimators Provides a timesaving list of mathematical tools for the problems under discussion Keeps mathematical abstractions to a minimum, in spite of its largely theoretical content Includes useful problems and exercises at the end of each chapter Offers strategies for more complex models when using robust statistical procedures Self-contained and rounded in approach, this book is invaluable for both applied statisticians and theoretical researchers; for graduate students in mathematical statistics; and for anyone interested in the influence of this methodology.
Author: Dev Basu
Publisher: IMS
ISBN: 9780940600249
Category : Mathematics
Languages : en
Pages : 278
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Author: Malay Ghosh
Publisher: John Wiley & Sons
ISBN: 1118165918
Category : Mathematics
Languages : en
Pages : 504
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The only comprehensive guide to the theory and practice of one oftoday's most important probabilistic techniques The past 15 years have witnessed many significant advances insequential estimation, especially in the areas of three-stage andnonparametric methodology. Yet, until now, there were no referencesdevoted exclusively to this rapidly growing statisticalfield. Sequential Estimation is the first, single-source guide to thetheory and practice of both classical and modern sequentialestimation techniques--including parametric and nonparametricmethods. Researchers in sequential analysis will appreciate theunified, logically integrated treatment of the subject, as well ascoverage of important contemporary procedures not covered in moregeneral sequential analysis texts, such as: * Shrinkage estimation * Empirical and hierarchical Bayes procedures * Multistage sampling and accelerated sampling procedures * Time-sequential estimation * Sequential estimation in finite population sampling * Reliability estimation and capture-recapture methodologiesleading to sequential tagging schemes An indispensable resource for researchers in sequential analysis,Sequential Estimation is an ideal graduate-level text as well.
Author: Jana Jureckova
Publisher: CRC Press
ISBN: 1439840695
Category : Mathematics
Languages : en
Pages : 410
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Book Description
Robust and nonparametric statistical methods have their foundation in fields ranging from agricultural science to astronomy, from biomedical sciences to the public health disciplines, and, more recently, in genomics, bioinformatics, and financial statistics. These disciplines are presently nourished by data mining and high-level computer-based algo
Author:
Publisher:
ISBN:
Category : Mathematical statistics
Languages : en
Pages : 264
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Author:
Publisher:
ISBN:
Category : Mathematical statistics
Languages : en
Pages : 948
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Book Description
The Current Index to Statistics (CIS) is a bibliographic index of publications in statistics, probability, and related fields.
Author:
Publisher:
ISBN:
Category : North Carolina
Languages : en
Pages : 680
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Author:
Publisher:
ISBN:
Category : Mathematics
Languages : en
Pages : 812
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