Time Series Analysis by Jonathan D Cryer
The text integrates classical regression and smoothing procedures with a modern emphasis on model building. It includes a solid balance of theory and applications and the interactive use of MINITAB. This book should be of interest to degree students on courses in time series analysis and forecasting.
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.
| SKU | Unavailable |
| ISBN 13 | 9780871509635 |
| ISBN 10 | 0871509636 |
| Title | Time Series Analysis |
| Author | Jonathan D Cryer |
| Condition | Unavailable |
| Binding Type | Hardback |
| Publisher | Cengage Learning, Inc |
| Year published | 1986-01-01 |
| Number of pages | 292 |
| Cover note | Book picture is for illustrative purposes only, actual binding, cover or edition may vary. |
| Note | Unavailable |