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Asymptotic Theory In Probability And Statistics With Applications


Asymptotic Theory In Probability And Statistics With Applications
Author: T. L. Lai
Publisher: International Pressof Boston Incorporated
ISBN:
Size: 54.52 MB
Format: PDF, Kindle
View: 7568
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This work presents a collection of 18 papers, many of which are surveys, on asymptotic theory in probability and statistics, with applications to a wide variety of problems. This volume comprises three parts: limit theorems, statistics and applications, and mathematical finance and insurance. It is intended for graduate students in probability and statistics, and for researchers in related areas.




Asymptotic Methods In Probability And Statistics With Applications


Asymptotic Theory In Probability And Statistics With Applications
Author: N. Balakrishnan
Publisher: Springer Science & Business Media
ISBN: 1461202094
Size: 80.67 MB
Format: PDF
View: 4011
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Traditions of the 150-year-old St. Petersburg School of Probability and Statis tics had been developed by many prominent scientists including P. L. Cheby chev, A. M. Lyapunov, A. A. Markov, S. N. Bernstein, and Yu. V. Linnik. In 1948, the Chair of Probability and Statistics was established at the Department of Mathematics and Mechanics of the St. Petersburg State University with Yu. V. Linik being its founder and also the first Chair. Nowadays, alumni of this Chair are spread around Russia, Lithuania, France, Germany, Sweden, China, the United States, and Canada. The fiftieth anniversary of this Chair was celebrated by an International Conference, which was held in St. Petersburg from June 24-28, 1998. More than 125 probabilists and statisticians from 18 countries (Azerbaijan, Canada, Finland, France, Germany, Hungary, Israel, Italy, Lithuania, The Netherlands, Norway, Poland, Russia, Taiwan, Turkey, Ukraine, Uzbekistan, and the United States) participated in this International Conference in order to discuss the current state and perspectives of Probability and Mathematical Statistics. The conference was organized jointly by St. Petersburg State University, St. Petersburg branch of Mathematical Institute, and the Euler Institute, and was partially sponsored by the Russian Foundation of Basic Researches. The main theme of the Conference was chosen in the tradition of the St.




Asymptotic Theory Of Statistics And Probability


Asymptotic Theory In Probability And Statistics With Applications
Author: Anirban DasGupta
Publisher: Springer Science & Business Media
ISBN: 0387759719
Size: 53.66 MB
Format: PDF, Docs
View: 1591
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This unique book delivers an encyclopedic treatment of classic as well as contemporary large sample theory, dealing with both statistical problems and probabilistic issues and tools. The book is unique in its detailed coverage of fundamental topics. It is written in an extremely lucid style, with an emphasis on the conceptual discussion of the importance of a problem and the impact and relevance of the theorems. There is no other book in large sample theory that matches this book in coverage, exercises and examples, bibliography, and lucid conceptual discussion of issues and theorems.




Asymptotic Theory Of Statistical Inference


Asymptotic Theory In Probability And Statistics With Applications
Author: B. L. S. Prakasa Rao
Publisher: John Wiley & Sons Incorporated
ISBN:
Size: 78.36 MB
Format: PDF, Mobi
View: 3375
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Probability and stochastic processes; Limit theorems for some statistics; Asymptotic theory of estimation; Linear parametric inference; Martingale approach to inference; Inference in nonlinear regression; Von mises functionals; Empirical characteristic function and its applications.




Approximation Theorems Of Mathematical Statistics


Asymptotic Theory In Probability And Statistics With Applications
Author: Robert J. Serfling
Publisher: John Wiley & Sons
ISBN: 0470317191
Size: 23.99 MB
Format: PDF, Docs
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Approximation Theorems of Mathematical Statistics This convenient paperback edition makes a seminal text in statistics accessible to a new generation of students and practitioners. Approximation Theorems of Mathematical Statistics covers a broad range of limit theorems useful in mathematical statistics, along with methods of proof and techniques of application. The manipulation of "probability" theorems to obtain "statistical" theorems is emphasized. Besides a knowledge of these basic statistical theorems, this lucid introduction to the subject imparts an appreciation of the instrumental role of probability theory. The book makes accessible to students and practicing professionals in statistics, general mathematics, operations research, and engineering the essentials of: * The tools and foundations that are basic to asymptotic theory in statistics * The asymptotics of statistics computed from a sample, including transformations of vectors of more basic statistics, with emphasis on asymptotic distribution theory and strong convergence * Important special classes of statistics, such as maximum likelihood estimates and other asymptotic efficient procedures; W. Hoeffding's U-statistics and R. von Mises's "differentiable statistical functions" * Statistics obtained as solutions of equations ("M-estimates"), linear functions of order statistics ("L-statistics"), and rank statistics ("R-statistics") * Use of influence curves * Approaches toward asymptotic relative efficiency of statistical test procedures



Asymptotic Theory in Probability and Statistics with Applications
Language: en
Pages: 533
Authors: T. L. Lai, Lianfen Qian, Qi-Man Shao
Categories: Mathematics
Type: BOOK - Published: 2008 - Publisher: International Pressof Boston Incorporated
This work presents a collection of 18 papers, many of which are surveys, on asymptotic theory in probability and statistics, with applications to a wide variety of problems. This volume comprises three parts: limit theorems, statistics and applications, and mathematical finance and insurance. It is intended for graduate students in
Asymptotic Methods in Probability and Statistics with Applications
Language: en
Pages: 549
Authors: N. Balakrishnan, I.A.V.B. Ibragimov, V.B. Nevzorov
Categories: Business & Economics
Type: BOOK - Published: 2012-12-06 - Publisher: Springer Science & Business Media
Traditions of the 150-year-old St. Petersburg School of Probability and Statis tics had been developed by many prominent scientists including P. L. Cheby chev, A. M. Lyapunov, A. A. Markov, S. N. Bernstein, and Yu. V. Linnik. In 1948, the Chair of Probability and Statistics was established at the Department
Asymptotic Theory of Statistics and Probability
Language: en
Pages: 722
Authors: Anirban DasGupta
Categories: Mathematics
Type: BOOK - Published: 2008-03-07 - Publisher: Springer Science & Business Media
This unique book delivers an encyclopedic treatment of classic as well as contemporary large sample theory, dealing with both statistical problems and probabilistic issues and tools. The book is unique in its detailed coverage of fundamental topics. It is written in an extremely lucid style, with an emphasis on the
Proceedings Of The International Congress Of Mathematicians 2010 (Icm 2010) (In 4 Volumes) - Vol. I: Plenary Lectures And Ceremonies, Vols. Ii-iv: Invited Lectures
Language: en
Pages: 4144
Authors: Bhatia Rajendra, Pal Arup, Rangarajan G
Categories: Mathematics
Type: BOOK - Published: 2011-06-06 - Publisher: World Scientific
ICM 2010 proceedings comprises a four-volume set containing articles based on plenary lectures and invited section lectures, the Abel and Noether lectures, as well as contributions based on lectures delivered by the recipients of the Fields Medal, the Nevanlinna, and Chern Prizes. The first volume will also contain the speeches
Limit Theorems in Probability, Statistics and Number Theory
Language: en
Pages: 317
Authors: Peter Eichelsbacher, Guido Elsner, Holger Kösters, Matthias Löwe, Franz Merkl, Silke Rolles
Categories: Mathematics
Type: BOOK - Published: 2013-04-23 - Publisher: Springer Science & Business Media
​Limit theorems and asymptotic results form a central topic in probability theory and mathematical statistics. New and non-classical limit theorems have been discovered for processes in random environments, especially in connection with random matrix theory and free probability. These questions and the techniques for answering them combine asymptotic enumerative combinatorics,