A First Course In Asymptotic Theory Of Statistics PDF Download
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Author | : T. K. Chandra |
Publisher | : Alpha Science International, Limited |
Total Pages | : 256 |
Release | : 1999-01-01 |
Genre | : Mathematics |
ISBN | : 9788173192609 |
Download A First Course in Asymptotic Theory of Statistics Book in PDF, ePub and Kindle
Starting with elementary notions of calculus, statistics and probability, the author introduces in this book the basic results of asymptotic theory through intuitive and motivated approaches with excellent exposure to various problems. Many theoretical and numerical examples have been worked out along with results that are not available in other books.
Author | : Anirban DasGupta |
Publisher | : Springer Science & Business Media |
Total Pages | : 726 |
Release | : 2008-03-07 |
Genre | : Mathematics |
ISBN | : 0387759700 |
Download Asymptotic Theory of Statistics and Probability Book in PDF, ePub and Kindle
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.
Author | : Thomas S. Ferguson |
Publisher | : Routledge |
Total Pages | : 140 |
Release | : 2017-09-06 |
Genre | : Mathematics |
ISBN | : 1351470051 |
Download A Course in Large Sample Theory Book in PDF, ePub and Kindle
A Course in Large Sample Theory is presented in four parts. The first treats basic probabilistic notions, the second features the basic statistical tools for expanding the theory, the third contains special topics as applications of the general theory, and the fourth covers more standard statistical topics. Nearly all topics are covered in their multivariate setting.The book is intended as a first year graduate course in large sample theory for statisticians. It has been used by graduate students in statistics, biostatistics, mathematics, and related fields. Throughout the book there are many examples and exercises with solutions. It is an ideal text for self study.
Author | : Barry C. Arnold |
Publisher | : SIAM |
Total Pages | : 291 |
Release | : 2008-09-25 |
Genre | : Mathematics |
ISBN | : 0898716489 |
Download A First Course in Order Statistics Book in PDF, ePub and Kindle
This updated classic text will aid readers in understanding much of the current literature on order statistics: a flourishing field of study that is essential for any practising statistician and a vital part of the training for students in statistics. Written in a simple style that requires no advanced mathematical or statistical background, the book introduces the general theory of order statistics and their applications. The book covers topics such as distribution theory for order statistics from continuous and discrete populations, moment relations, bounds and approximations, order statistics in statistical inference and characterisation results, and basic asymptotic theory. There is also a short introduction to record values and related statistics. The authors have updated the text with suggestions for further reading that may be used for self-study. Written for advanced undergraduate and graduate students in statistics and mathematics, practising statisticians, engineers, climatologists, economists, and biologists.
Author | : Anirban DasGupta |
Publisher | : Springer Science & Business Media |
Total Pages | : 727 |
Release | : 2008-02-06 |
Genre | : Mathematics |
ISBN | : 0387759719 |
Download Asymptotic Theory of Statistics and Probability Book in PDF, ePub and Kindle
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.
Author | : A. W. van der Vaart |
Publisher | : Cambridge University Press |
Total Pages | : 470 |
Release | : 2000-06-19 |
Genre | : Mathematics |
ISBN | : 9780521784504 |
Download Asymptotic Statistics Book in PDF, ePub and Kindle
This book is an introduction to the field of asymptotic statistics. The treatment is both practical and mathematically rigorous. In addition to most of the standard topics of an asymptotics course, including likelihood inference, M-estimation, the theory of asymptotic efficiency, U-statistics, and rank procedures, the book also presents recent research topics such as semiparametric models, the bootstrap, and empirical processes and their applications. The topics are organized from the central idea of approximation by limit experiments, which gives the book one of its unifying themes. This entails mainly the local approximation of the classical i.i.d. set up with smooth parameters by location experiments involving a single, normally distributed observation. Thus, even the standard subjects of asymptotic statistics are presented in a novel way. Suitable as a graduate or Master s level statistics text, this book will also give researchers an overview of the latest research in asymptotic statistics.
Author | : Lucien Le Cam |
Publisher | : Springer Science & Business Media |
Total Pages | : 767 |
Release | : 2012-12-06 |
Genre | : Mathematics |
ISBN | : 1461249465 |
Download Asymptotic Methods in Statistical Decision Theory Book in PDF, ePub and Kindle
This book grew out of lectures delivered at the University of California, Berkeley, over many years. The subject is a part of asymptotics in statistics, organized around a few central ideas. The presentation proceeds from the general to the particular since this seemed the best way to emphasize the basic concepts. The reader is expected to have been exposed to statistical thinking and methodology, as expounded for instance in the book by H. Cramer [1946] or the more recent text by P. Bickel and K. Doksum [1977]. Another pos sibility, closer to the present in spirit, is Ferguson [1967]. Otherwise the reader is expected to possess some mathematical maturity, but not really a great deal of detailed mathematical knowledge. Very few mathematical objects are used; their assumed properties are simple; the results are almost always immediate consequences of the definitions. Some objects, such as vector lattices, may not have been included in the standard background of a student of statistics. For these we have provided a summary of relevant facts in the Appendix. The basic structures in the whole affair are systems that Blackwell called "experiments" and "transitions" between them. An "experiment" is a mathe matical abstraction intended to describe the basic features of an observational process if that process is contemplated in advance of its implementation. Typically, an experiment consists of a set E> of theories about what may happen in the observational process.
Author | : E.L. Lehmann |
Publisher | : Springer Science & Business Media |
Total Pages | : 640 |
Release | : 2006-04-18 |
Genre | : Mathematics |
ISBN | : 0387227296 |
Download Elements of Large-Sample Theory Book in PDF, ePub and Kindle
Written by one of the main figures in twentieth century statistics, this book provides a unified treatment of first-order large-sample theory. It discusses a broad range of applications including introductions to density estimation, the bootstrap, and the asymptotics of survey methodology. The book is written at an elementary level making it accessible to most readers.
Author | : B. L. S. Prakasa Rao |
Publisher | : |
Total Pages | : 458 |
Release | : 1987-01-16 |
Genre | : Mathematics |
ISBN | : |
Download Asymptotic Theory of Statistical Inference Book in PDF, ePub and Kindle
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.
Author | : Halbert White |
Publisher | : Academic Press |
Total Pages | : 241 |
Release | : 2014-06-28 |
Genre | : Business & Economics |
ISBN | : 1483294420 |
Download Asymptotic Theory for Econometricians Book in PDF, ePub and Kindle
This book is intended to provide a somewhat more comprehensive and unified treatment of large sample theory than has been available previously and to relate the fundamental tools of asymptotic theory directly to many of the estimators of interest to econometricians. In addition, because economic data are generated in a variety of different contexts (time series, cross sections, time series--cross sections), we pay particular attention to the similarities and differences in the techniques appropriate to each of these contexts.