Multivariate

Practical Guide To Principal Component Methods in R (Multivariate Analysis Book 2)  eBooks & eLearning

Posted by AlexGolova at Dec. 14, 2017
Practical Guide To Principal Component Methods in R (Multivariate Analysis Book 2)

Practical Guide To Principal Component Methods in R (Multivariate Analysis Book 2) by Alboukadel Kassambara
English | 24 Aug 2017 | ASIN: B0754LHRMV | 170 Pages | AZW3 | 3.87 MB
"Multivariate Analysis in Management, Engineering and the Sciences" ed. by Leandro V. de Freitas et al.

"Multivariate Analysis in Management, Engineering and the Sciences" ed. by Leandro Valim de Freitas and Ana Paula Barbosa Rodrigues de Freitas
ITAe | 2013 | ISBN: 9535109219 9789535109211 | 263 pages | PDF | 7 MB

The wide application of multivariate techniques and the need to spread them more fully in the academic and the business justify the creation of this book. The objective is to demonstrate interdisciplinary applications to identify patterns, trends, associations and dependencies, in the areas of Management, Engineering and Sciences. The book is addressed to both practicing professionals and researchers in the field.

Applied Multivariate Data Analysis: Volume II: Categorical and Multivariate Methods  eBooks & eLearning

Posted by ChrisRedfield at Dec. 6, 2017
Applied Multivariate Data Analysis: Volume II: Categorical and Multivariate Methods

J.D. Jobson - Applied Multivariate Data Analysis: Volume II: Categorical and Multivariate Methods
Published: 2012-10-23 | ISBN: 1461269474, 0387978046 | PDF | 732 pages | 45.97 MB

Nonlinear Multivariate Analysis  eBooks & eLearning

Posted by arundhati at Dec. 2, 2017
Nonlinear Multivariate Analysis

Albert Gifi, "Nonlinear Multivariate Analysis"
1990 | ISBN-10: 0471926205, 8126545119 | 602 pages | PDF scan | 17 MB

Robust Multivariate Analysis  eBooks & eLearning

Posted by AvaxGenius at Nov. 29, 2017
Robust Multivariate Analysis

Robust Multivariate Analysis By David J. Olive
English | PDF,EPUB | 2017 | 508 Pages | ISBN : 3319682512 | 19.03 MB

This text presents methods that are robust to the assumption of a multivariate normal distribution or methods that are robust to certain types of outliers. Instead of using exact theory based on the multivariate normal distribution, the simpler and more applicable large sample theory is given. The text develops among the first practical robust regression and robust multivariate location and dispersion estimators backed by theory.

Multivariate Time Series Analysis in Climate and Environmental Research  eBooks & eLearning

Posted by AvaxGenius at Nov. 13, 2017
Multivariate Time Series Analysis in Climate and Environmental Research

Multivariate Time Series Analysis in Climate and Environmental Research By Zhihua Zhang
English | PDF,EPUB | 2017 (2018 Edition) | 293 Pages | ISBN : 3319673394 | 7.8 MB

This book offers comprehensive information on the theory, models and algorithms involved in state-of-the-art multivariate time series analysis and highlights several of the latest research advances in climate and environmental science. The main topics addressed include Multivariate Time-Frequency Analysis, Artificial Neural Networks, Stochastic Modeling and Optimization, Spectral Analysis, Global Climate Change, Regional Climate Change, Ecosystem and Carbon Cycle, Paleoclimate, and Strategies for Climate Change Mitigation.
Modern Multivariate Statistical Techniques: Regression, Classification, and Manifold Learning (repost)

Modern Multivariate Statistical Techniques: Regression, Classification, and Manifold Learning by Alan J. Izenman
English | 2008-08-28 | ISBN: 0387781889 | 756 pages | PDF | 10,7 mb

Multivariate Statistical Process Control with Industrial Application  eBooks & eLearning

Posted by step778 at Oct. 26, 2017
Multivariate Statistical Process Control with Industrial Application

Robert L. Mason, John C. Young, "Multivariate Statistical Process Control with Industrial Application"
2001 | pages: 277 | ISBN: 0898714966 | DJVU | 3,4 mb

Reading and Understanding MORE Multivariate Statistics  eBooks & eLearning

Posted by arundhati at Oct. 8, 2017
Reading and Understanding MORE Multivariate Statistics

Laurence G. Grimm, Paul Yarnold, "Reading and Understanding MORE Multivariate Statistics"
2000 | ISBN-10: 1557986983 | 272 pages | PDF | 8 MB
Multivariate Modelling of Non-Stationary Economic Time Series (Palgrave Texts in Econometrics)

Multivariate Modelling of Non-Stationary Economic Time Series (Palgrave Texts in Econometrics) by John Hunter
English | 27 May 2017 | ISBN: 0230243304 | 518 Pages | EPUB | 3.9 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,