The Annals Of Statistics PDF Download
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Author | : Larry Wasserman |
Publisher | : Springer Science & Business Media |
Total Pages | : 446 |
Release | : 2013-12-11 |
Genre | : Mathematics |
ISBN | : 0387217363 |
Download All of Statistics Book in PDF, ePub and Kindle
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 | : 1100 |
Release | : 1972 |
Genre | : Mathematical statistics |
ISBN | : |
Download The Annals of Mathematical Statistics Book in PDF, ePub and Kindle
Author | : Institute of Mathematical Statistics |
Publisher | : |
Total Pages | : |
Release | : 1973 |
Genre | : Mathematical statistics |
ISBN | : |
Download The Annals of Statistics Book in PDF, ePub and Kindle
Author | : Lawrence D. Brown |
Publisher | : IMS |
Total Pages | : 302 |
Release | : 1986 |
Genre | : Business & Economics |
ISBN | : 9780940600102 |
Download Fundamentals of Statistical Exponential Families Book in PDF, ePub and Kindle
Author | : Paul Glasserman |
Publisher | : Springer Science & Business Media |
Total Pages | : 305 |
Release | : 2012-12-06 |
Genre | : Mathematics |
ISBN | : 146124062X |
Download Stochastic Networks Book in PDF, ePub and Kindle
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 | : |
Publisher | : |
Total Pages | : 912 |
Release | : 2007 |
Genre | : Mathematical statistics |
ISBN | : |
Download The Annals of Statistics Book in PDF, ePub and Kindle
Author | : Victor M. Panaretos |
Publisher | : Birkhäuser |
Total Pages | : 190 |
Release | : 2016-06-01 |
Genre | : Mathematics |
ISBN | : 3319283413 |
Download Statistics for Mathematicians Book in PDF, ePub and Kindle
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 |
Download Statistics for High-Dimensional Data Book in PDF, ePub and Kindle
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.
Author | : Simon N. Wood |
Publisher | : Cambridge University Press |
Total Pages | : 259 |
Release | : 2015-04-13 |
Genre | : Business & Economics |
ISBN | : 1107071054 |
Download Core Statistics Book in PDF, ePub and Kindle
Core Statistics is a compact starter course on the theory, models, and computational tools needed to make informed use of powerful statistical methods.
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.