Time Series Analysis: With Applications in R (Springer Texts in Statistics)

Cryer, Jonathan D.; Chan, Kung-Sik

ISBN 10: 0387759581 / ISBN 13: 9780387759586

Verlag: Springer, 2008

Beschreibung

The book has obvious signs of wear which may include some damage to the cover, deeper corner dings, markings, or creases, but its integrity is intact. The binding may also be slightly damaged but its integrity is intact. There may also be possible writing in the margins and underlining and highlighting of text, but there are no missing pages or anything that would compromise the legibility or understanding of the text. Bestandsnummer des Verkäufers 4LFY2M0005BF_ns

Bibliografische Details

Titel: Time Series Analysis: With Applications in R...

Verlag: Springer

Erscheinungsdatum: 2008

Einband: Hardcover

Zustand: acceptable

Auflage: 2. Auflage

Über diesen Titel

Inhaltsangabe:

This book has been developed for a one-semester course usually attended by students in statistics, economics, business, engineering, and quantitative social sciences. A unique feature of this edition is its integration with the R computing environment. Basic applied statistics is assumed through multiple regression. Calculus is assumed only to the extent of minimizing sums of squares but a calculus-based introduction to statistics is necessary for a thorough understanding of some of the theory. Actual time series data drawn from various disciplines are used throughout the book to illustrate the methodology.

Über die Autorin bzw. den Autor:

Jonathan 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.