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Statistics for Mathematicians
Author: Victor M. Panaretos
Publisher: Birkhäuser
Published: 2016-06-01
Total Pages: 177
ISBN-13: 3319283413
DOWNLOAD EBOOK →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.
Guide to Tables in Mathematical Statistics
Author: Joseph Arthur Greenwood
Publisher: Princeton University Press
Published: 2017-03-14
Total Pages: 1080
ISBN-13: 1400886813
DOWNLOAD EBOOK →This book is exclusively devoted to the tables of mathematical statistics. It catalogues a large selection of tables in the field of mathematical statistics, with a small selection of mathematical tables lying outside statistics but often used with statistical tables. Originally published in 1962. The Princeton Legacy Library uses the latest print-on-demand technology to again make available previously out-of-print books from the distinguished backlist of Princeton University Press. These editions preserve the original texts of these important books while presenting them in durable paperback and hardcover editions. The goal of the Princeton Legacy Library is to vastly increase access to the rich scholarly heritage found in the thousands of books published by Princeton University Press since its founding in 1905.
Bulletin - Institute of Mathematical Statistics
Author: Institute of Mathematical Statistics
Publisher:
Published: 1996
Total Pages: 730
ISBN-13:
DOWNLOAD EBOOK →Mathematical Statistics
The Foundations of Statistics
Author: Leonard J. Savage
Publisher: Courier Corporation
Published: 2012-08-29
Total Pages: 341
ISBN-13: 0486137104
DOWNLOAD EBOOK →Classic analysis of the foundations of statistics and development of personal probability, one of the greatest controversies in modern statistical thought. Revised edition. Calculus, probability, statistics, and Boolean algebra are recommended.
Mathematical Statistics
Author: Johann Pfanzagl
Publisher: Springer
Published: 2017-10-23
Total Pages: 316
ISBN-13: 3642310842
DOWNLOAD EBOOK →This book presents a detailed description of the development of statistical theory. In the mid twentieth century, the development of mathematical statistics underwent an enduring change, due to the advent of more refined mathematical tools. New concepts like sufficiency, superefficiency, adaptivity etc. motivated scholars to reflect upon the interpretation of mathematical concepts in terms of their real-world relevance. Questions concerning the optimality of estimators, for instance, had remained unanswered for decades, because a meaningful concept of optimality (based on the regularity of the estimators, the representation of their limit distribution and assertions about their concentration by means of Anderson’s Theorem) was not yet available. The rapidly developing asymptotic theory provided approximate answers to questions for which non-asymptotic theory had found no satisfying solutions. In four engaging essays, this book presents a detailed description of how the use of mathematical methods stimulated the development of a statistical theory. Primarily focused on methodology, questionable proofs and neglected questions of priority, the book offers an intriguing resource for researchers in theoretical statistics, and can also serve as a textbook for advanced courses in statisticc.
Stochastic Networks
Author: Paul Glasserman
Publisher: Springer Science & Business Media
Published: 2012-12-06
Total Pages: 305
ISBN-13: 146124062X
DOWNLOAD EBOOK →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.
All of Statistics
Author: Larry Wasserman
Publisher: Springer Science & Business Media
Published: 2013-12-11
Total Pages: 446
ISBN-13: 0387217363
DOWNLOAD EBOOK →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.
Mathematical Statistics
Author: Henry L. Rietz
Publisher: American Mathematical Soc.
Published: 1927-12-31
Total Pages: 181
ISBN-13: 1614440034
DOWNLOAD EBOOK →This monograph contributes toward shifting the emphasis and point of view in the study of statistics in the direction of the consideration of the underlying theory involved in certain highly important methods of statistical analysis. With this as the main purpose, it is natural that no great effort is made to present a well-balanced discussion of all the many available topics. Considerable portions of this monograph can be read by those who have relatively little knowledge of college mathematics. However, the exposition is designed, in general, for readers of a certain degree of mathematical maturity, and presupposes an acquaintance with elementary differential and integral calculus, and with the elementary principles of probability as presented in various books on college algebra for freshmen.
