 |
|
|
|
| | SAS for Forecasting Time Series, Second EditionIn this second edition of the indispensable SAS for Forecasting Time Series, Brocklebank and Dickey show you how SAS performs univariate and multivariate time series analysis. Taking a tutorial approach, the authors focus on the procedures that most effectively bring results: the advanced procedures ARIMA, SPECTRA, STATESPACE, and VARMAX.... | | Using R for Data Management, Statistical Analysis, and Graphics
Quick and Easy Access to Key Elements of Documentation
Includes worked examples across a wide variety of applications, tasks, and graphics
Using R for Data Management, Statistical Analysis, and Graphics presents an easy way to learn how to perform an analytical task in R, without having to... |
|
|
Performing Data Analysis Using IBM SPSS
Features easy-to-follow insight and clear guidelines to perform data analysis using IBM SPSS®
Performing Data Analysis Using IBM SPSS® uniquely addresses the presented statistical procedures with an example problem, detailed analysis, and the related data sets. Data entry procedures, variable naming,... | | Forecasting With The Theta Method: Theory and Applications
The first book to be published on the Theta method, outlining under what conditions the method outperforms other forecasting methods
This book is the first to detail the Theta method of forecasting – one of the most difficult-to-beat forecasting benchmarks, which topped the biggest forecasting... | | |
|
|
|
| Result Page: 9 8 7 6 5 4 3 2 1 |
