The Annals of Mathematical Statistics
Author | : |
Publisher | : |
Total Pages | : 636 |
Release | : 1934 |
Genre | : Mathematical statistics |
ISBN | : |
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Author | : |
Publisher | : |
Total Pages | : 636 |
Release | : 1934 |
Genre | : Mathematical statistics |
ISBN | : |
Author | : American Statistical Association |
Publisher | : |
Total Pages | : 626 |
Release | : 1927 |
Genre | : Electronic journals |
ISBN | : |
A scientific and educational journal not only for professional statisticians but also for economists, business executives, research directors, government officials, university professors, and others who are seriously interested in the application of statistical methods to practical problems, in the development of more useful methods, and in the improvement of basic statistical data.
Author | : Larry Wasserman |
Publisher | : Springer Science & Business Media |
Total Pages | : 446 |
Release | : 2013-12-11 |
Genre | : Mathematics |
ISBN | : 0387217363 |
Taken literally, the title "All of Statistics" is an exaggeration. But in spirit, the title is apt, as the book does cover a much broader range of topics than a typical introductory book on mathematical statistics. This book is for people who want to learn probability and statistics quickly. It is suitable for graduate or advanced undergraduate students in computer science, mathematics, statistics, and related disciplines. The book includes modern topics like non-parametric curve estimation, bootstrapping, and classification, topics that are usually relegated to follow-up courses. The reader is presumed to know calculus and a little linear algebra. No previous knowledge of probability and statistics is required. Statistics, data mining, and machine learning are all concerned with collecting and analysing data.
Author | : |
Publisher | : |
Total Pages | : 912 |
Release | : 2007 |
Genre | : Mathematical statistics |
ISBN | : |
Author | : |
Publisher | : |
Total Pages | : 588 |
Release | : 1973 |
Genre | : Electronic journals |
ISBN | : |
Author | : Institute of Mathematical Statistics |
Publisher | : |
Total Pages | : |
Release | : 1973 |
Genre | : Mathematical statistics |
ISBN | : |
Author | : Lawrence D. Brown |
Publisher | : IMS |
Total Pages | : 302 |
Release | : 1986 |
Genre | : Business & Economics |
ISBN | : 9780940600102 |
Author | : Paul Glasserman |
Publisher | : Springer Science & Business Media |
Total Pages | : 305 |
Release | : 2012-12-06 |
Genre | : Mathematics |
ISBN | : 146124062X |
Two of the most exciting topics of current research in stochastic networks are the complementary subjects of stability and rare events - roughly, the former deals with the typical behavior of networks, and the latter with significant atypical behavior. Both are classical topics, of interest since the early days of queueing theory, that have experienced renewed interest mo tivated by new applications to emerging technologies. For example, new stability issues arise in the scheduling of multiple job classes in semiconduc tor manufacturing, the so-called "re-entrant lines;" and a prominent need for studying rare events is associated with the design of telecommunication systems using the new ATM (asynchronous transfer mode) technology so as to guarantee quality of service. The objective of this volume is hence to present a sample - by no means comprehensive - of recent research problems, methodologies, and results in these two exciting and burgeoning areas. The volume is organized in two parts, with the first part focusing on stability, and the second part on rare events. But it is impossible to draw sharp boundaries in a healthy field, and inevitably some articles touch on both issues and several develop links with other areas as well. Part I is concerned with the issue of stability in queueing networks.
Author | : Victor M. Panaretos |
Publisher | : Birkhäuser |
Total Pages | : 190 |
Release | : 2016-06-01 |
Genre | : Mathematics |
ISBN | : 3319283413 |
This textbook provides a coherent introduction to the main concepts and methods of one-parameter statistical inference. Intended for students of Mathematics taking their first course in Statistics, the focus is on Statistics for Mathematicians rather than on Mathematical Statistics. The goal is not to focus on the mathematical/theoretical aspects of the subject, but rather to provide an introduction to the subject tailored to the mindset and tastes of Mathematics students, who are sometimes turned off by the informal nature of Statistics courses. This book can be used as the basis for an elementary semester-long first course on Statistics with a firm sense of direction that does not sacrifice rigor. The deeper goal of the text is to attract the attention of promising Mathematics students.
Author | : Peter Bühlmann |
Publisher | : Springer Science & Business Media |
Total Pages | : 568 |
Release | : 2011-06-08 |
Genre | : Mathematics |
ISBN | : 364220192X |
Modern statistics deals with large and complex data sets, and consequently with models containing a large number of parameters. This book presents a detailed account of recently developed approaches, including the Lasso and versions of it for various models, boosting methods, undirected graphical modeling, and procedures controlling false positive selections. A special characteristic of the book is that it contains comprehensive mathematical theory on high-dimensional statistics combined with methodology, algorithms and illustrations with real data examples. This in-depth approach highlights the methods’ great potential and practical applicability in a variety of settings. As such, it is a valuable resource for researchers, graduate students and experts in statistics, applied mathematics and computer science.