Selected Works Of Willem Van Zwet
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Author | : Sara van de Geer |
Publisher | : Springer Science & Business Media |
Total Pages | : 490 |
Release | : 2011-12-21 |
Genre | : Mathematics |
ISBN | : 1461413141 |
With this collections volume, some of the important works of Willem van Zwet are moved to the front layers of modern statistics. The selection was based on discussions with Willem, and aims at a representative sample. The result is a collection of papers that the new generations of statisticians should not be denied. They are here to stay, to enjoy and to form the basis for further research. The papers are grouped into six themes: fundamental statistics, asymptotic theory, second-order approximations, resampling, applications, and probability. This volume serves as basic reference for fundamental statistical theory, and at the same time reveals some of its history. The papers are grouped into six themes: fundamental statistics, asymptotic theory, second-order approximations, resampling, applications, and probability. This volume serves as basic reference for fundamental statistical theory, and at the same time reveals some of its history.
Author | : Javier Rojo |
Publisher | : Springer Science & Business Media |
Total Pages | : 1104 |
Release | : 2012-01-14 |
Genre | : Mathematics |
ISBN | : 1461414121 |
These volumes present a selection of Erich L. Lehmann’s monumental contributions to Statistics. These works are multifaceted. His early work included fundamental contributions to hypothesis testing, theory of point estimation, and more generally to decision theory. His work in Nonparametric Statistics was groundbreaking. His fundamental contributions in this area include results that came to assuage the anxiety of statisticians that were skeptical of nonparametric methodologies, and his work on concepts of dependence has created a large literature. The two volumes are divided into chapters of related works. Invited contributors have critiqued the papers in each chapter, and the reprinted group of papers follows each commentary. A complete bibliography that contains links to recorded talks by Erich Lehmann – and which are freely accessible to the public – and a list of Ph.D. students are also included. These volumes belong in every statistician’s personal collection and are a required holding for any institutional library.
Author | : Jianqing Fan |
Publisher | : Springer Science & Business Media |
Total Pages | : 626 |
Release | : 2012-11-28 |
Genre | : Mathematics |
ISBN | : 1461455448 |
This volume presents selections of Peter J. Bickel’s major papers, along with comments on their novelty and impact on the subsequent development of statistics as a discipline. Each of the eight parts concerns a particular area of research and provides new commentary by experts in the area. The parts range from Rank-Based Nonparametrics to Function Estimation and Bootstrap Resampling. Peter’s amazing career encompasses the majority of statistical developments in the last half-century or about about half of the entire history of the systematic development of statistics. This volume shares insights on these exciting statistical developments with future generations of statisticians. The compilation of supporting material about Peter’s life and work help readers understand the environment under which his research was conducted. The material will also inspire readers in their own research-based pursuits. This volume includes new photos of Peter Bickel, his biography, publication list, and a list of his students. These give the reader a more complete picture of Peter Bickel as a teacher, a friend, a colleague, and a family man.
Author | : Abdelhak M. Zoubir |
Publisher | : Cambridge University Press |
Total Pages | : 315 |
Release | : 2018-11-08 |
Genre | : Mathematics |
ISBN | : 1107017416 |
Understand the benefits of robust statistics for signal processing using this unique and authoritative text.
Author | : Kim P. Huynh |
Publisher | : Emerald Group Publishing |
Total Pages | : 338 |
Release | : 2019-04-10 |
Genre | : Business & Economics |
ISBN | : 1787567257 |
This volume of Advances in Econometrics contains a selection of papers presented at the 'Econometrics of Complex Survey Data: Theory and Applications' conference organized by the Bank of Canada, Ottawa, Canada, from October 19-20, 2017.
Author | : Wassily Hoeffding |
Publisher | : Springer Science & Business Media |
Total Pages | : 653 |
Release | : 2012-12-06 |
Genre | : Mathematics |
ISBN | : 1461208653 |
It has been a rare privilege to assemble this volume of Wassily Hoeffding's Collected Works. Wassily was, variously, a teacher, supervisor and colleague to us, and his work has had a profound influence on our own. Yet this would not be sufficient reason to publish his collected works. The additional and overwhelmingly compelling justification comes from the fun damental nature of his contributions to Statistics and Probability. Not only were his ideas original, and far-reaching in their implications; Wassily de veloped them so completely and elegantly in his papers that they are still cited as prime references up to half a century later. However, three of his earliest papers are cited rarely, if ever. These include material from his doctoral dissertation. They were written in German, and two of them were published in relatively obscure series. Rather than reprint the original articles, we have chosen to have them translated into English. These trans lations appear in this book, making Wassily's earliest research available to a wide audience for the first time. All other articles (including those of his contributions to Mathematical Reviews which go beyond a simple reporting of contents of articles) have been reproduced as they appeared, together with annotations and corrections made by Wassily on some private copies of his papers. Preceding these articles are three review papers which dis cuss the . impact of his work in some of the areas where he made major contributions.
Author | : David Roxbee Cox |
Publisher | : Cambridge University Press |
Total Pages | : 614 |
Release | : 2005 |
Genre | : Business & Economics |
ISBN | : 9780521849401 |
Sir David Cox's most important papers, each the subject of a new commentary by Professor Cox.
Author | : Mathisca de Gunst |
Publisher | : IMS |
Total Pages | : 660 |
Release | : 2001 |
Genre | : Mathematics |
ISBN | : 9780940600508 |
Author | : David Pollard |
Publisher | : Springer Science & Business Media |
Total Pages | : 456 |
Release | : 2012-12-06 |
Genre | : Mathematics |
ISBN | : 1461218802 |
Contributed in honour of Lucien Le Cam on the occasion of his 70th birthday, the papers reflect the immense influence that his work has had on modern statistics. They include discussions of his seminal ideas, historical perspectives, and contributions to current research - spanning two centuries with a new translation of a paper of Daniel Bernoulli. The volume begins with a paper by Aalen, which describes Le Cams role in the founding of the martingale analysis of point processes, and ends with one by Yu, exploring the position of just one of Le Cams ideas in modern semiparametric theory. The other 27 papers touch on areas such as local asymptotic normality, contiguity, efficiency, admissibility, minimaxity, empirical process theory, and biological medical, and meteorological applications - where Le Cams insights have laid the foundations for new theories.
Author | : Christian Houdré |
Publisher | : Birkhäuser |
Total Pages | : 480 |
Release | : 2016-09-21 |
Genre | : Mathematics |
ISBN | : 3319405195 |
This volume collects selected papers from the 7th High Dimensional Probability meeting held at the Institut d'Études Scientifiques de Cargèse (IESC) in Corsica, France. High Dimensional Probability (HDP) is an area of mathematics that includes the study of probability distributions and limit theorems in infinite-dimensional spaces such as Hilbert spaces and Banach spaces. The most remarkable feature of this area is that it has resulted in the creation of powerful new tools and perspectives, whose range of application has led to interactions with other subfields of mathematics, statistics, and computer science. These include random matrices, nonparametric statistics, empirical processes, statistical learning theory, concentration of measure phenomena, strong and weak approximations, functional estimation, combinatorial optimization, and random graphs. The contributions in this volume show that HDP theory continues to thrive and develop new tools, methods, techniques and perspectives to analyze random phenomena.