[PDF] The American Statistical Arithmetic eBook

Author : Francis Henney Smith
Publisher :
Page : 290 pages
File Size : 40,15 MB
Release : 2016-06-24
Category : Mathematics
ISBN : 9781332896219

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Excerpt from Smith and Duke's American Statistical Arithmetic: Designed for Academies and Schools Great care has been bestowed upon the scientific portion of the work, so as to make the rules simple and intelligible to the least advanced scholar; those explanations being given which an experience of many years in teaching has shown to be the best. About the Publisher Forgotten Books publishes hundreds of thousands of rare and classic books. Find more at www.forgottenbooks.com This book is a reproduction of an important historical work. Forgotten Books uses state-of-the-art technology to digitally reconstruct the work, preserving the original format whilst repairing imperfections present in the aged copy. In rare cases, an imperfection in the original, such as a blemish or missing page, may be replicated in our edition. We do, however, repair the vast majority of imperfections successfully; any imperfections that remain are intentionally left to preserve the state of such historical works.

Author : Francis Henney Smith
Publisher : Palala Press
Page : pages
File Size : 34,18 MB
Release : 2016-05-20
Category :
ISBN : 9781357971496

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This work has been selected by scholars as being culturally important, and is part of the knowledge base of civilization as we know it. This work was reproduced from the original artifact, and remains as true to the original work as possible. Therefore, you will see the original copyright references, library stamps (as most of these works have been housed in our most important libraries around the world), and other notations in the work. This work is in the public domain in the United States of America, and possibly other nations. Within the United States, you may freely copy and distribute this work, as no entity (individual or corporate) has a copyright on the body of the work. As a reproduction of a historical artifact, this work may contain missing or blurred pages, poor pictures, errant marks, etc. Scholars believe, and we concur, that this work is important enough to be preserved, reproduced, and made generally available to the public. We appreciate your support of the preservation process, and thank you for being an important part of keeping this knowledge alive and relevant.

Author : Larry Wasserman
Publisher : Springer Science & Business Media
Page : 446 pages
File Size : 38,50 MB
Release : 2013-12-11
Category : Mathematics
ISBN : 0387217363

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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 : A. W. van der Vaart
Publisher : Cambridge University Press
Page : 470 pages
File Size : 37,22 MB
Release : 2000-06-19
Category : Mathematics
ISBN : 9780521784504

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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 : Michael W. Mahoney
Publisher : American Mathematical Soc.
Page : 325 pages
File Size : 25,92 MB
Release : 2018-11-15
Category : Big data
ISBN : 1470435756

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