MULTIVARIATE ANALYSIS IN MANAGEMENT, ENGINEERING AND THE SCIENCES pptx

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MULTIVARIATE ANALYSIS IN MANAGEMENT, ENGINEERING AND THE SCIENCES pptx

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MULTIVARIATE ANALYSIS IN MANAGEMENT, ENGINEERING AND THE SCIENCES Edited by Leandro Valim de Freitas and Ana Paula Barbosa Rodrigues de Freitas Multivariate Analysis in Management, Engineering and the Sciences http://dx.doi.org/10.5772/3301 Edited by Leandro Valim de Freitas and Ana Paula Barbosa Rodrigues de Freitas Contributors Leandro Valim de Freitas, Ana Paula Barbosa Rodrigues de Freitas, Fernando Augusto Silva Marins, Estéfano Vizconde Veraszto, José Tarcísio Franco de Camargo, J. Paulo Davim, Messias Borges Silva, K. Böhm, E. Smidt, J. Tintner, Dirceu da Silva, Gisella Lamas Samanamud, Carla Cristina Almeida Loures, Fatima Salman, Túlio Lima dos Santos, Rosangela Villwock, Maria Teresinha Arns Steiner, Andrea Sell Dyminski, Anselmo Chaves Neto, Silvia Cateni, Marco Vannucci, Marco Vannocci, Valentina Colla, Hilton Túlio Lima dos Santos, André Maurício de Oliveira , Patrícia Gontijo de Melo, Wagner Freitas, M. Schwanninger, John R. Castro-Suarez, William Ortiz-Rivera, Nataly Galan-Freyle, Amanda Figueroa-Navedo, Leonardo C. Pacheco-Londoño, Samuel P. Hernández-Rivera, Diletta Ami, Paolo Mereghetti, Silvia Maria Doglia, Mohammad Ali Zare Chahouki Published by InTech Janeza Trdine 9, 51000 Rijeka, Croatia Copyright © 2012 InTech All chapters are Open Access distributed under the Creative Commons Attribution 3.0 license, which allows users to download, copy and build upon published articles even for commercial purposes, as long as the author and publisher are properly credited, which ensures maximum dissemination and a wider impact of our publications. After this work has been published by InTech, authors have the right to republish it, in whole or part, in any publication of which they are the author, and to make other personal use of the work. Any republication, referencing or personal use of the work must explicitly identify the original source. Notice Statements and opinions expressed in the chapters are these of the individual contributors and not necessarily those of the editors or publisher. No responsibility is accepted for the accuracy of information contained in the published chapters. The publisher assumes no responsibility for any damage or injury to persons or property arising out of the use of any materials, instructions, methods or ideas contained in the book. Publishing Process Manager Marijan Polic Typesetting InTech Prepress, Novi Sad Cover InTech Design Team First published December, 2012 Printed in Croatia A free online edition of this book is available at www.intechopen.com Additional hard copies can be obtained from orders@intechopen.com Multivariate Analysis in Management, Engineering and the Sciences, Edited by Leandro Valim de Freitas and Ana Paula Barbosa Rodrigues de Freitas p. cm. ISBN 978-953-51-0921-1 Contents Preface IX Section 1 Multivariate Analysis in Management 1 Chapter 1 Contributions of Multivariate Statistics in Oil and Gas Industry 3 Leandro Valim de Freitas, Ana Paula Barbosa Rodrigues de Freitas, Fernando Augusto Silva Marins, Estéfano Vizconde Veraszto, José Tarcísio Franco de Camargo, J. Paulo Davim and Messias Borges Silva Chapter 2 Application of Multivariate Data Analyses in Waste Management 15 K. Böhm, E. Smidt and J. Tintner Chapter 3 Technology and Society Public Perception: A Structural Equation Modeling Study of the Brazilian Undergraduate Students’ Opinions and Attitudes from Sao Paulo State 39 Estéfano Vizconde Veraszto, José Tarcísio Franco de Camargo, Dirceu da Silva and Leandro Valim de Freitas Section 2 Multivariate Analysis in Engineering 61 Chapter 4 Multivariate Analysis in Advanced Oxidation Process 63 Ana Paula Barbosa Rodrigues de Freitas, Leandro Valim de Freitas, Gisella Lamas Samanamud, Fernando Augusto Silva Marins, Carla Cristina Almeida Loures, Fatima Salman, Hilton Túlio Lima dos Santos and Messias Borges Silva Chapter 5 Itaipu Hydroelectric Power Plant Structural Geotechnical Instrumentation Temporal Data Under the Application of Multivariate Analysis – Grouping and Ranking Techniques 81 Rosangela Villwock, Maria Teresinha Arns Steiner, Andrea Sell Dyminski and Anselmo Chaves Neto VI Contents Chapter 6 Variable Selection and Feature Extraction Through Artificial Intelligence Techniques 103 Silvia Cateni, Marco Vannucci, Marco Vannocci and Valentina Colla Section 3 Multivariate Analysis in the Sciences: Chemometrics Approach 119 Chapter 7 Chemometrics: Theory and Application 121 Hilton Túlio Lima dos Santos, André Maurício de Oliveira , Patrícia Gontijo de Melo, Wagner Freitas and Ana Paula Rodrigues de Freitas Chapter 8 Ageing and Deterioration of Materials in the Environment – Application of Multivariate Data Analysis 133 E. Smidt, M. Schwanninger, J. Tintner and K. Böhm Chapter 9 Multivariate Analysis in Vibrational Spectroscopy of Highly Energetic Materials and Chemical Warfare Agents Simulants 161 John R. Castro-Suarez, William Ortiz-Rivera, Nataly Galan-Freyle, Amanda Figueroa-Navedo, Leonardo C. Pacheco-Londoño and Samuel P. Hernández-Rivera Chapter 10 Multivariate Analysis for Fourier Transform Infrared Spectra of Complex Biological Systems and Processes 189 Diletta Ami, Paolo Mereghetti and Silvia Maria Doglia Chapter 11 Classification and Ordination Methods as a Tool for Analyzing of Plant Communities 221 Mohammad Ali Zare Chahouki Preface Recently statistical knowledge has become an important requirement and occupies a prominent position in the exercise of various professions. Every day the professionals use more sophisticated statistical tools to assist them in decision making. In the real world, the processes have a large volume of data and are naturally multivariate and as such, require a proper treatment. For these conditions it is difficult or practically impossible to use methods of univariate statistics. 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. Leandro Valim de Freitas Petróleo Brasileiro SA – PETROBRAS São Paulo State University – UNESP Ana Paula Barbosa Rodrigues de Freitas São Paulo University – USP São Paulo State University – UNESP . associations and dependencies, in the areas of Management, Engineering and Sciences. The book is addressed to both practicing professionals and researchers in the. www.intechopen.com Additional hard copies can be obtained from orders@intechopen.com Multivariate Analysis in Management, Engineering and the Sciences,

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  • Preface Multivariate Analysis in Management, Engineering and the Sciences

  • Section 1 Multivariate Analysis in Management

  • 01 Contributions of Multivariate Statistics in Oil and Gas Industry

  • 02 Application of Multivariate Data Analyses in Waste Management

  • 03 Technology and Society Public Perception: A Structural Equation Modeling Study of the Brazilian

  • Section 2 Multivariate Analysis in Engineering

  • 04 Multivariate Analysis in Advanced Oxidation Process

  • 05 Itaipu Hydroelectric Power Plant Structural Geotechnical Instrumentation Temporal Data Under the

  • 06 Variable Selection and Feature Extraction Through Artificial Intelligence Techniques

  • Multivariate Analysis in the Sciences: Chemometrics Approach

  • 07 Chemometrics: Theory and Application

  • 08 Ageing and Deterioration of Materials in the Environment – Application of Multivariate Data Anal

  • 09 Multivariate Analysis in Vibrational Spectroscopy of Highly Energetic Materials and Chemical War

  • 10 Multivariate Analysis for Fourier Transform Infrared Spectra of Complex Biological Systems and P

  • 11 Classification and Ordination Methods as a Tool for Analyzing of Plant Communities

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