Posted by **vsu2all** at Dec. 25, 2006

Publisher: Lawrence Erlbaum Associates | Bk&CD-Rom edition (January 18, 2005) | English | ISBN: 0805837299 | 264 pages

Posted by **nebulae** at Aug. 9, 2017

English | 3 Aug. 2017 | ISBN: 3319564803 | 178 Pages | PDF | 8.82 MB

Posted by **nebulae** at July 21, 2017

English | ISBN: 0470711175 | 2001 | 354 pages | PDF | 41 MB

Posted by **nebulae** at July 11, 2017

2014 | ISBN-10: 1439890218 | 561 pages | PDF | 26 MB

Posted by **hill0** at July 6, 2017

English | 3 Aug. 2017 | ISBN: 3319564803 | 178 Pages | PDF | 8.82 MB

This is the second of a two-part guide to quantitative analysis using the IBM SPSS Statistics software package; this volume focuses on multivariate statistical methods and advanced forecasting techniques. More often than not, regression models involve more than one independent variable. For example, forecasting methods are commonly applied to aggregates such as inflation rates, unemployment, exchange rates, etc., that have complex relationships with determining variables.

Posted by **ChrisRedfield** at July 5, 2017

Published: 2015-09-17 | ISBN: 3531171186 | PDF | 232 pages | 3.88 MB

Posted by **ChrisRedfield** at June 30, 2017

Published: 2015-11-14 | ISBN: 3662460866 | PDF | 454 pages | 41.2 MB

Posted by **hill0** at June 6, 2017

English | 27 May 2017 | ISBN: 0230243304 | 518 Pages | PDF | 5.3 MB

This book examines conventional time series in the context of stationary data prior to a discussion of cointegration, with a focus on multivariate models. The authors provide a detailed and extensive study of impulse responses and forecasting

Posted by **Jeembo** at May 31, 2017

English | 2016 | ISBN: 3319331523 | 557 Pages | PDF | 38.0 MB

This book traces the theory and methodology of multivariate statistical analysis and shows how it can be conducted in practice using the LISREL computer program.

Posted by **naag** at May 27, 2017

MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 7 Hours | 1.76 GB

Course describes and demonstrates a creative approach for constructing and drawing grid-based multivariate graphs in R