Multivariate Methods of Representing Relations in R for Prioritization Purposes

Selective Scaling, Comparative Clustering, Collective Criteria and Sequenced Sets

  • Wayne L. Myers
  • Ganapati P. Patil

Part of the Environmental and Ecological Statistics book series (ENES, volume 6)

Table of contents

  1. Front Matter
    Pages i-xviii
  2. Motivation and Computation

    1. Wayne L. Myers, Ganapati P. Patil
      Pages 1-10
  3. Synergistic Scalings, Contingent Clustering and Distance Domains

    1. Front Matter
      Pages 11-11
    2. Wayne L. Myers, Ganapati P. Patil
      Pages 13-30
    3. Wayne L. Myers, Ganapati P. Patil
      Pages 31-42
    4. Wayne L. Myers, Ganapati P. Patil
      Pages 43-62
    5. Wayne L. Myers, Ganapati P. Patil
      Pages 63-90
  4. Precedence and Progressive Prioritization

    1. Front Matter
      Pages 91-91
    2. Wayne L. Myers, Ganapati P. Patil
      Pages 93-100
    3. Wayne L. Myers, Ganapati P. Patil
      Pages 101-115
    4. Wayne L. Myers, Ganapati P. Patil
      Pages 117-152
    5. Wayne L. Myers, Ganapati P. Patil
      Pages 153-163
    6. Wayne L. Myers, Ganapati P. Patil
      Pages 165-180
    7. Wayne L. Myers, Ganapati P. Patil
      Pages 181-192
    8. Wayne L. Myers, Ganapati P. Patil
      Pages 193-205
  5. Transformation Techniques and Virtual Variates

    1. Front Matter
      Pages 207-207
    2. Wayne L. Myers, Ganapati P. Patil
      Pages 209-229
    3. Wayne L. Myers, Ganapati P. Patil
      Pages 231-243
  6. Back Matter
    Pages 245-297

About this book

Introduction

This monograph is a four-fold featuring of adaptive analysis.

· First is data distillation and comparative coupling whereby the results of one analysis are fed forward into another analysis without necessarily returning directly to the original data matrix, and analytical avenues usually seen as alternatives are pursued in parallel with results being carried forward together as complementary comparatives.

· Second is the flexibility and suitability of the R© statistical software system for engaging in such adaptive and conjunctive statistical strategies.  The intention is to provide an extensive entry into the realms of R using exploration by example whereby a demonstrative dataset of manageably moderate size is carried comparatively though the sequence of sections.

· Third is a major mission to introduce innovative methodologies for preliminary and/or partial prioritization that arise from partial order theory.  We formulate functions in R that provide for generation and visualization of partial orderings based on combinations of criteria.  These methods support etiological exploration for explanations that underlie apparent concurrence or conflict among multiple indicators of suitability or severity.

Fourth is delving more deeply into some multivariate methods such as principal components using the matrix methods available in RR makes highly compact calls available for several such multivariate methods, but sometimes discernment demands delving into details.  

Authors and affiliations

  • Wayne L. Myers
    • 1
  • Ganapati P. Patil
    • 2
  1. 1., Penn State Instit. of Energy & Environ.Pennsylvania State UniversityUniversity ParkUSA
  2. 2.Dept. Statistics, Dept. of StatisticsPennsylvania State UniversityUniversity ParkUSA

Bibliographic information

  • DOI https://doi.org/10.1007/978-1-4614-3122-0
  • Copyright Information Springer Science+Business Media, LLC 2012
  • Publisher Name Springer, New York, NY
  • eBook Packages Earth and Environmental Science
  • Print ISBN 978-1-4614-3121-3
  • Online ISBN 978-1-4614-3122-0
  • About this book