It takes the average reader 5 hours and 44 minutes to read Applied Data Mining for Forecasting Using SAS(R) by Tim Rey
Assuming a reading speed of 250 words per minute. Learn more
Applied Data Mining for Forecasting Using SAS, by Tim Rey, Arthur Kordon, and Chip Wells, introduces and describes approaches for mining large time series data sets. Written for forecasting practitioners, engineers, statisticians, and economists, the book details how to select useful candidate input variables for time series regression models in environments when the number of candidates is large, and identifies the correlation structure between selected candidate inputs and the forecast variable. This book is essential for forecasting practitioners who need to understand the practical issues involved in applied forecasting in a business setting. Through numerous real-world examples, the authors demonstrate how to effectively use SAS software to meet their industrial forecasting needs. This book is part of the SAS Press program.
Applied Data Mining for Forecasting Using SAS(R) by Tim Rey is 336 pages long, and a total of 86,016 words.
This makes it 113% the length of the average book. It also has 105% more words than the average book.
The average oral reading speed is 183 words per minute. This means it takes 7 hours and 50 minutes to read Applied Data Mining for Forecasting Using SAS(R) aloud.
Applied Data Mining for Forecasting Using SAS(R) is suitable for students ages 12 and up.
Note that there may be other factors that effect this rating besides length that are not factored in on this page. This may include things like complex language or sensitive topics not suitable for students of certain ages.
When deciding what to show young students always use your best judgement and consult a professional.
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