Time Series Analysis - With Applications in R - Grand Format

2nd edition

Edition en anglais

Jonathan D. Cryer

,

Kung-Sik Chan

Note moyenne 
A unique feature of this edition is its integration with the R computing environment. The tables and graphical displays are accompanied by the R commands... Lire la suite
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Résumé

A unique feature of this edition is its integration with the R computing environment. The tables and graphical displays are accompanied by the R commands used to produce them. An extensive R package, TSA, which contains many new or revised R functions and all of the data used in the book, accompanies the written text. Script files of R commands for each chapter are available for download. There is also an extensive appendix in the book that leads the reader through the use of R commands and the new R package to carry out the analyses.

Caractéristiques

  • Date de parution
    01/01/2009
  • Editeur
  • Collection
  • ISBN
    978-0-387-75958-6
  • EAN
    9780387759586
  • Format
    Grand Format
  • Présentation
    Relié
  • Nb. de pages
    491 pages
  • Poids
    1.155 Kg
  • Dimensions
    18,5 cm × 26,0 cm × 3,0 cm

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À propos des auteurs

Jonathan D. Cryer is Professor Emeritus, University of Iowa, in the Department of Statistics and Actuarial Science. He is a Fellow of the American Statistical Association and received a Collegiate Teaching Award from the University of Iowa College of Liberal Arts and Sciences. He is the author of Statistics for Business : Data Analysis and Modeling, Second Edition, (with Robert B. Miller), the Minitab Handbook, Fifth Edition, (with Barbara Ryan and Brian Joiner), the Electronic Companion to Statistics (with George Cobb), Electronic Companion to Business Statistics (with George Cobb) and numerous research papers.
Kung-Sik Chan is Professor, University of Iowa, in the Department of Statistics and Actuarial Science. He is a Fellow of the American Statistical Association and the Institute of the Mathematical Statistics, and an Elected Member of the International Statistical Institute. He received a Faculty Scholar Award from the University of Iowa in 1996. He is the author of Chaos : A Statistical Perspective (with Howell Tong) and numerous research papers.

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