Author: B. Grigelionis
Publisher: Walter de Gruyter GmbH & Co KG
ISBN: 3112319028
Category : Mathematics
Languages : en
Pages : 624
Book Description
No detailed description available for "PROB. TH. MATH. ST. ( GRIGELIONIS) VOL. 2 PROC.5/1989 E-BOOK".
Probability Theory and Mathematical Statistics. Vol. 2
Author: B. Grigelionis
Publisher: Walter de Gruyter GmbH & Co KG
ISBN: 3112319028
Category : Mathematics
Languages : en
Pages : 624
Book Description
No detailed description available for "PROB. TH. MATH. ST. ( GRIGELIONIS) VOL. 2 PROC.5/1989 E-BOOK".
Publisher: Walter de Gruyter GmbH & Co KG
ISBN: 3112319028
Category : Mathematics
Languages : en
Pages : 624
Book Description
No detailed description available for "PROB. TH. MATH. ST. ( GRIGELIONIS) VOL. 2 PROC.5/1989 E-BOOK".
Robust Statistical Procedures
Author: Jana Jurecková
Publisher: John Wiley & Sons
ISBN: 9780471822219
Category : Mathematics
Languages : en
Pages : 496
Book Description
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.
Publisher: John Wiley & Sons
ISBN: 9780471822219
Category : Mathematics
Languages : en
Pages : 496
Book Description
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.
Methodology in Robust and Nonparametric Statistics
Author: Jana Jureckova
Publisher: CRC Press
ISBN: 1439840695
Category : Mathematics
Languages : en
Pages : 401
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
Publisher: CRC Press
ISBN: 1439840695
Category : Mathematics
Languages : en
Pages : 401
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
Current Issues in Statistical Inference
Author: Dev Basu
Publisher: IMS
ISBN: 9780940600249
Category : Mathematics
Languages : en
Pages : 278
Book Description
Publisher: IMS
ISBN: 9780940600249
Category : Mathematics
Languages : en
Pages : 278
Book Description
Sequential Estimation
Author: Malay Ghosh
Publisher: John Wiley & Sons
ISBN: 1118165918
Category : Mathematics
Languages : en
Pages : 504
Book Description
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.
Publisher: John Wiley & Sons
ISBN: 1118165918
Category : Mathematics
Languages : en
Pages : 504
Book Description
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.
Fifth International Vilnius Conference on Probability Theory and Mathematical Statistics, Vilnius, June 26-July 1, 1989: M-Z
Author:
Publisher:
ISBN:
Category : Mathematical statistics
Languages : en
Pages : 264
Book Description
Publisher:
ISBN:
Category : Mathematical statistics
Languages : en
Pages : 264
Book Description
Current Index to Statistics, Applications, Methods and Theory
Author:
Publisher:
ISBN:
Category : Mathematical statistics
Languages : en
Pages : 948
Book Description
The Current Index to Statistics (CIS) is a bibliographic index of publications in statistics, probability, and related fields.
Publisher:
ISBN:
Category : Mathematical statistics
Languages : en
Pages : 948
Book Description
The Current Index to Statistics (CIS) is a bibliographic index of publications in statistics, probability, and related fields.
North Carolina Publications
Author:
Publisher:
ISBN:
Category : North Carolina
Languages : en
Pages : 680
Book Description
Publisher:
ISBN:
Category : North Carolina
Languages : en
Pages : 680
Book Description
Mathematical Reviews
Author:
Publisher:
ISBN:
Category : Mathematics
Languages : en
Pages : 812
Book Description
Publisher:
ISBN:
Category : Mathematics
Languages : en
Pages : 812
Book Description
Monthy Checklist of State Publications
Author: John Chin David Rutter
Publisher:
ISBN:
Category :
Languages : en
Pages : 860
Book Description
Publisher:
ISBN:
Category :
Languages : en
Pages : 860
Book Description