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5 edition of Elements of computational statistics found in the catalog.

Elements of computational statistics

James E. Gentle

Elements of computational statistics

by James E. Gentle

  • 175 Want to read
  • 13 Currently reading

Published by Springer in New York .
Written in English

    Subjects:
  • Statistics -- Data processing

  • Edition Notes

    Includes bibliographical references (p. 385-408) and indexes.

    StatementJames E. Gentle.
    SeriesStatistics and computing
    Classifications
    LC ClassificationsQA276.4 .G455 2002
    The Physical Object
    Paginationxviii, 420 p. :
    Number of Pages420
    ID Numbers
    Open LibraryOL17840954M
    ISBN 100387954899
    LC Control Number2002067018
    OCLC/WorldCa49679391

    The book is suitable to be a text book in a graduate level course on computational statistics. I enjoyed reading and recommend very highly to the statistical community." (Ramalingam Shanmugam, Journal of Statistical Computation and Simulation, Vol. 75 (2), )Brand: Springer New York. Computational inference is based on an approach to statistical methods that uses modern computational power to simulate distributional properties of estimators and test statistics. This book describes computationally intensive statistical methods in a unified presentation, emphasizing techniques, such as the PDF decomposition, that arise in a.

      Buy Basic Elements of Computational Statistics (Statistics and Computing) 1st ed. by Härdle, Wolfgang Karl, Okhrin, Ostap, Okhrin, Yarema (ISBN: ) from Amazon's Book Store. Everyday low prices and free delivery on eligible s: 1. Elements of Computational Statistics by James E. Gentle. Springer, This book covers methods of computational statistics for data analysis. The outline is Preface Table of Contents I. Methods of Computational Statistics 1. Preliminaries 2. Monte Carlo Methods for Statistical Inference 3. Randomization and Data Partitioning 4. Bootstrap.

    Computational statistics, or statistical computing, is the interface between statistics and computer is the area of computational science (or scientific computing) specific to the mathematical science of area is also developing rapidly, leading to calls that a broader concept of computing should be taught as part of general statistical education.   Never HIGHLIGHT a Book Again! Includes all testable terms, concepts, persons, places, and events. Studyguide for Elements of Computational Statistics by Springer, ISBN by Cram Textbook Reviews | Read Reviews. Paperback. Current price is, Original price is $ You. Buy New Price: $


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Elements of computational statistics by James E. Gentle Download PDF EPUB FB2

It covers mathematical, statistical as well as programming problems in computational statistics and contains a wide variety of practical examples. In addition to Elements of computational statistics book numerous R sniplets presented in the text, all computer programs (quantlets) and data sets to the book are available on GitHub and referred to in the : Springer International Publishing.

"Computational statistics is a collection of methods and techniques in statistics which are computationally intensive and use the computer as a tool for experimentation.

The material covered is extensive. relevant references are given. The book also contains lots of exercises of varying level /5(2). Basic Elements of Computational Statistics (Statistics and Computing) 1st ed.

Edition by Wolfgang Karl Härdle (Author), Ostap Okhrin (Author), Yarema Okhrin 5/5(1). Another characteristic of computational statistics is the computational intensity of the methods; even for datasets of medium size, high performance computers are required to perform the computations. Graphical displays and visualization methods are usually integral features of computational statistics.

"This book describes many of the exciting, even revolutionary, developments in computational statistics which have been made over the last two or three decades. it gives excellent discussions of topics such as bootstrap methods, density function estimation, and multivariate tools such as principal components, clustering and projection Brand: Springer-Verlag New York.

Elements of Computational Statistics by James E. Gentle,available at Book Depository with free delivery worldwide/5(4). The computationally-intensive methods of modern statistics rely heavily on the developments in statistical computing and numerical analysis generally.

Computational statistics shares two hallmarks with other “computational” sciences, such as computational physics, computational 1/5(1). Elements of Computational Statistics | James E.

Gentle | download | B–OK. Download books for free. Find books. Basic Elements of Computational Statistics. Authors (view affiliations) Wolfgang Karl Härdle This textbook on computational statistics presents tools and concepts of univariate and multivariate statistical data analysis with a strong focus on applications and implementations in the statistical software R.

The book is intended for. Computational inference is based on an approach to statistical methods that uses modern computational power to simulate distributional properties of estimators and test statistics. This book describes computationally-intensive statistical methods in a unified presentation, emphasizing techniques, such as the PDF decomposition, that arise in a 4/5(1).

This book began as a revision of Elements of Computational Statistics, published by Springer in That book covered computationally-intensive statistical methods from the perspective of statistical applications, rather than from the standpoint of statistical computing.

Statistics and computing share many close relationships. Computing now permeates every aspect of statistics, from pure description to the development of statistical theory. At the same time, the computational methods used in statistical work span much of computer science. Elements of Statistical Computing covers the broad usage of computing in statistics.

The book is suitable to be a text book in a graduate level course on computational statistics. I enjoyed reading and recommend very highly to the statistical community." (Ramalingam Shanmugam, Journal of Statistical Computation and Simulation, Vol. 75 (2), ) "This book provides a wealth of knowledge on the topic of computational.

The computationally-intensive methods of modern statistics rely heavily on the developments in statistical computing and numerical analysis generally. Computational statistics shares two hallmarks with other “computational” sciences, such as computational physics, computational.

The definition of what is meant by statistics and statistical analysis has changed considerably over the last few decades. Here are two contrasting definitions of what statistics is, from eminent professors in the field, some 60+ years apart: "Statistics is the branch of scientific method which deals with the data obtained by counting or.

Methods of computational statistics --preliminaries --Monte Carlo methods for statistical inference --randomization and data partitioning --bootstrap methods --tools for identification of structure in data --estimation of functions --graphical methods in computational statistics --exploring data density and structure --estimation of probability.

Elements of computational statistics. Gentle, James E., I feel that Gentle has succeeded in presenting a broad overview of the major areas of modern computational statistics. I found this book to be a comprehensive summary of computational methods used in modern statistical analyses.

It certainly has a place on my bookshelf. Elements of computational statistics. [James E Gentle] Home. WorldCat Home About WorldCat Help. Search. Search for Library Items Search for Lists Search for Will provide a more elementary introduction to these topics than other books available; Gentle is the author of two other Springer books.

Rating: (not yet rated) 0 with reviews - Be the. Computational Statistics, James E. Gentle, AprilStatis-tics and Computing Series, Springer-Verlag, New York, xxi+ pages, ISBNDOI /, $ This book has a very large scope in that, beyond its title, it covers the dual elds of computational statistics and of statistical computing.

If only. Basic Elements Of Computational Statistics (statistics And Computing) In addition to the numerous R sniplets presented in the text, all computer programs (quantlets) and data sets to the book are available on GitHub and referred to in the book.

This enables the reader to fully reproduce as well as modify and adjust all examples to their needs. Elements of Computational Statistics. books are meant to be part of a much larger work, and together they form a. rather complete set of resources for any data analyst. Book Reviews This book describes techniques used in computational statistics and considers some of the areas of applications, such as density estimation and model building, in which computationally intensive methods are useful.

In computational statistics, computation is viewed as an instrument of discovery; the role of the computer is not just to store data, perform computations, and produce graphs and.Basic elements of computational statistics Härdle, Wolfgang, Okhrin, Ostap, Okhrin, Yarema This textbook on computational statistics presents tools and concepts of univariate and multivariate statistical data analysis with a strong focus on applications and implementations in .