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Wayne A. Woodward - Applied Time Series Analysis with R - 9781498734226 - V9781498734226
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Applied Time Series Analysis with R

€ 130.27
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Description for Applied Time Series Analysis with R Hardback. Num Pages: 630 pages, 200 black & white illustrations. BIC Classification: PBT. Category: (G) General (US: Trade). Dimension: 168 x 320 x 44. Weight in Grams: 1092.
Virtually any random process developing chronologically can be viewed as a time series. In economics closing prices of stocks, the cost of money, the jobless rate, and retail sales are just a few examples of many. Developed from course notes and extensively classroom-tested, Applied Time Series Analysis with R, Second Edition includes examples across a variety of fields, develops theory, and provides an R-based software package to aid in addressing time series problems in a broad spectrum of fields. The material is organized in an optimal format for graduate students in statistics as well as in the natural and social ... Read more

Product Details

Publisher
Taylor & Francis Inc
Format
Hardback
Publication date
2016
Condition
New
Number of Pages
618
Place of Publication
Portland, United States
ISBN
9781498734226
SKU
V9781498734226
Shipping Time
Usually ships in 4 to 8 working days
Ref
99-1

About Wayne A. Woodward
Wayne A. Woodward is a professor and chair of the Department of Statistical Science at Southern Methodist University in Dallas, Texas. Henry L. Gray is a C.F. Frensley Professor Emeritus in the Department of Statistical Science at Southern Methodist University in Dallas, Texas. Alan C. Elliott is a biostatistician in the Department of Statistical Science at ... Read more

Reviews for Applied Time Series Analysis with R
What an extraordinary range of topics this book covers, all very insightfully. I like [the authors'] innovations very much, including the AR factor table. -David Findley, Senior Mathematical Statistician, US Census Bureau (retired) ... impressive coverage of the scope of time series analysis in both frequency and time domain ... ... ... Read more

Goodreads reviews for Applied Time Series Analysis with R


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