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 **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 **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

Posted by **roxul** at May 24, 2017

2013 | ISBN-10: 129202190X | 752 pages | PDF | 11 MB

Posted by **roxul** at May 21, 2017

English | ISBN: 1292024941, 1299960308 | 2014 | 776 pages | PDF | 8 MB

Posted by **libr** at May 16, 2017

English | 2006 | ISBN-10: 158488634X | PDF | 549 pages | 17,6 MB

Posted by **AvaxGenius** at May 14, 2017

English | PDF | 1997 | 723 Pages | ISBN : 1441931139 | 57.5 MB

My goal in writing this book has been to provide teachers and students of multi variate statistics with a unified treatment ofboth theoretical and practical aspects of this fascinating area. The text is designed for a broad readership, including advanced undergraduate students and graduate students in statistics, graduate students in bi ology, anthropology, life sciences, and other areas, and postgraduate students.

Posted by **AvaxGenius** at May 14, 2017

English | PDF | 1991 | 646 Pages | ISBN : 1461269601 | 44 MB

An easy to read survey of data analysis, linear regression models and analysis of variance. The extensive development of the linear model includes the use of the linear model approach to analysis of variance provides a strong link to statistical software packages, and is complemented by a thorough overview of theory.

Posted by **AlenMiler** at May 10, 2017

English | 24 May 2017 | ISBN: 1138196347 | 262 Pages | PDF | 20.04 MB

Posted by **AvaxGenius** at May 9, 2017

English | PDF | 2017 | 508 Pages | ISBN : 0230243304 | 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 in the stationary and non-stationary context, considering small sample correction, volatility and the impact of different orders of integration.