American Journal of Theoretical and Applied Statistics

Special Issue

Statistical Engineering

  • Submission Deadline: 20 December 2014
  • Status: Submission Closed
About This Special Issue
Recently, statistical knowledge has become an important requirement and occupies a prominent position in the performance of various professions. Every day, professionals use statistical techniques increasingly sophisticated to aid in decision making.

The Statistical Engineering is a highly interdisciplinary area of knowledge focused on the design, analysis and optimization of experiments to solving real and complex multivariate problems with minimal costs involved in the trial. Moreover, it has been widely used in various fields like Engineering, Management, Logistics, Marketing, Tourism, Chemistry, Physics, Biology, among others.

The aim of this book is to bring together research papers, literature review and case studies with a multidisciplinary focus and organize them in a comprehensive way for the community interested in the field.

The advantage is that this Special Issue will cover a wide range of applications in diverse areas of knowledge for decision making based on sophisticated statistical tools that consider several variables at once. So, this Issue will not focus on just one area of application, for example, only in Chemistry or Economics as it happens traditionally. Thus, the representation of reality through statistical models become more realistic contributing to process improvement by reducing the variability, reprocessing, environmental impact. Thus, the processes are better monitored and controlled with greater profits.

Topics covered, but not limited to:

Design of Experiments

    Full Factorial Design
    Fractional Factorial Design
    Plackett-Burman Design
    Taguchi Methods
    Central Composite
    Mixture Design
    Optimization Methods (Response Surface Method, Desirability, among others)

Multivariate Analysis and Data Mining

    Classification Methods
    Factorial Analysis
    Principal Component Analysis (PCA)
    Principal Component Regression (PCR)
    Partial Least Squares Regression (PLS)
    Support Vector Machine Regression (SVMR)
    Artificial Neural Networks (ANN)

Statistical Process Control (SPC)

    Control Charts
    Measurement System Analysis (MSA)
    Multivariate Processes

Applications, but not limited to:

    Chemistry (Advanced Oxidation Process-AOP, among others)
    Industrial Engineering
Guest Editors
  • Savu Adrian

    Department of Surveying and Cadastre, Faculty of Geodesy, Technical University of Civil Engineering, Bucharest, Romania

  • Kaizhi Yu

    Statistics School, Southwestern University of Finance and Economics, Chengdu, China


    Tamilnadu Agricultural University, Trichy, India

Published Articles
  • Didactic Tool Applied into Data Collection and Variability Study in a Process

    Thiago De Camargo Leite Labastie , Carlos Alberto Chaves , Antonio Faria Neto , Wendell De Queiroz Lamas , Luiz Fernando Fiorio , Helena Barros Fiorio

    Issue: Volume 3, Issue 6-1, December 2014
    Pages: 47-57
    Received: 1 October 2014
    Accepted: 5 November 2014
    Published: 8 February 2015
    DOI: 10.11648/j.ajtas.s.2014030601.16
    Abstract: The objective of this paper is to present an application of design of experiments in which students learn how to get real data with application to a case using the catapult, and generate their statistical analysis through software, in order to have a great reliability, at the work development. The variation factors are selected between maximum and ... Show More
  • The Use of Advanced Oxidation Processes (AOPs) in Dairy Effluent Treatment

    Carla Cristina Almeida Loures , Gisella Rossana Lamas Samanamud , Ana Paula Barbosa Rodrigues de Freitas , Ivy S. Oliveira , Leandro Valim de Freitas , Carlos Roberto de Oliveira Almeida

    Issue: Volume 3, Issue 6-1, December 2014
    Pages: 42-46
    Received: 17 November 2014
    Accepted: 19 November 2014
    Published: 10 January 2015
    DOI: 10.11648/j.ajtas.s.2014030601.15
    Abstract: There are several studies in this same sense aiming to develop new processes and new technologies to minimize the volume and toxicity of effluents generated by chemical industries. Currently, technology advances in effluent and residues treatment is based on environmental sustainability (residual reuse) and in the degradation of pollutant substance... Show More
  • Response Surface Method and Taguchi Orthogonal Array Applied to Phenolic Wastewater by Advanced Oxidation Process (AOP)

    Ana Paula Barbosa Rodrigues de Freitas , Leandro Valim de Freitas , Carla Cristina Almeida Loures , Lúcio Gualiato Gonçalves , Messias Borges Silva

    Issue: Volume 3, Issue 6-1, December 2014
    Pages: 35-41
    Received: 19 November 2014
    Accepted: 21 November 2014
    Published: 31 December 2014
    DOI: 10.11648/j.ajtas.s.2014030601.14
    Abstract: The advanced oxidation process was conducted using the Design of Experiments in this work. Initially, Taguchi’s Orthogonal Array L16 (Photo-Fenton and Ozone) was applied, with which it was obtained 29.07% TOC removal. Then, the process was optimized with the Photo-Fenton RSM, thus it was achieved the highest percentage of TOC removal= 54.68%. This ... Show More
  • Defining Quality and Maturity Level Applying the Grey System and the Method for Automotive Enterprises Diagnosis

    Robisom Damasceno Calado , Messias Borges Silva , Angela Alice Silva Boa Sorte Oliveira , Gabriela Salim Spagnol , Alice Sarantopoulos , Li Min Li

    Issue: Volume 3, Issue 6-1, December 2014
    Pages: 23-34
    Received: 30 November 2014
    Accepted: 11 December 2014
    Published: 27 December 2014
    DOI: 10.11648/j.ajtas.s.2014030601.13
    Abstract: This study intends to diagnose the maturity level of companies certified by the Automotive Quality Management System ISO TS 16949: 2009. Thus, it analyzes if those are considered World Class Organizations (WCO), identifying its management strengths and weaknesses, to provide input for improvement opportunities in their systems. This study methodolo... Show More
  • Taguchi Orthogonal Array Combined with Monte Carlo Simulation in the Optimization of Wastewater Treatment

    Ana Paula Barbosa Rodrigues de Freitas , Leandro Valim de Freitas , Carla Cristina Almeida Loures , Aneirson Francisco da Silva , Lúcio Gualiato Gonçalves , Messias Borges Silva

    Issue: Volume 3, Issue 6-1, December 2014
    Pages: 19-22
    Received: 17 November 2014
    Accepted: 19 November 2014
    Published: 27 December 2014
    DOI: 10.11648/j.ajtas.s.2014030601.12
    Abstract: In this work was performed a Monte Carlo Simulation for a mathematics model to experimental planning of Taguchi. The software has enabled an upgrading of the variables planning value of 54,26% of TOC, 53,28% of DQO and 6,58% of Total Phenols, that feature the importance of the method for the experimental optimizations, and thereafter reduction of e... Show More
  • Public Perception of Science: Mapping the Concepts of Brazilian Undergraduate Students of the State of Sao Paulo through Structural Equation Modeling

    Fernanda de Oliveira Simon , Estéfano Vizconde Veraszto , José Tarcísio Franco de Camargo , Dirceu da Silva , Leandro Valim de Freitas , Nonato Assis de Miranda

    Issue: Volume 3, Issue 6-1, December 2014
    Pages: 1-18
    Received: 12 November 2014
    Accepted: 2 December 2014
    Published: 27 December 2014
    DOI: 10.11648/j.ajtas.s.2014030601.11
    Abstract: Once modern society depends in large-scale of scientific development, the degree of association between scientific knowledge and attitudes toward science has historical, social and political implications. In this sense, it becomes crucial to analyze the public attitudes regarding to science as these are related to the changing context of scientific... Show More