Linear Models in the Mathematics of Uncertainty 2013th Edition

Linear Models in the Mathematics of Uncertainty 2013th Edition book cover

Linear Models in the Mathematics of Uncertainty 2013th Edition

Author(s): Carol Jones (Author), Mark J Wierman (Author), Terry D Clark (Author), Alex Pham (Author), Michael A. Redmond (Author)

  • Publisher: Springer
  • Publication Date: February 2, 2013
  • Edition: 2013th
  • Language: English
  • Print length: 293 pages
  • ISBN-10: 9783642352232
  • ISBN-13: 9783642352232

Book Description

The purpose of this book is to present new mathematical techniques for modeling global issues. These mathematical techniques are used to determine linear equations between a dependent variable and one or more independent variables in cases where standard techniques such as linear regression are not suitable.

In this book, we examine cases where the number of data points is
small (effects of nuclear warfare), where the experiment is not repeatable (the breakup of the former Soviet Union), and where the data is derived from expert opinion (how conservative is a political party). In all these cases the data  is difficult to measure and an assumption of randomness and/or statistical validity is questionable. 

We apply our methods to real world issues in international relations such as  nuclear deterrence, smart power, and cooperative threat reduction. We next apply our methods to issues in comparative politics such as successful democratization, quality of life, economic freedom, political stability, and failed states. Finally, issues involving deaf and hard of hearing children are explored.
 

Editorial Reviews

Review

From the reviews:

“The research monograph is devoted to a plethora of decision-making problems whose structure involves combinations (aggregations) of causal factors. … the material is carefully structured and makes the book self-contained and easy to read to novices and those not fully familiar with the background ideas. … This coherently organized reading … will offer the reader a breadth and rigor of the technology of fuzzy sets and comes as a testimony to the need and usefulness of the technology of coping with uncertainty to real-world problems.” (Witold Pedrycz, zbMATH, Vol. 1268, 2013)

From the Back Cover

The purpose of this book is to present new mathematical techniques for modeling global issues. These mathematical techniques are used to determine linear equations between a dependent variable and one or more independent variables in cases where standard techniques such as linear regression are not suitable.

In this book, we examine cases where the number of data points is
small (effects of nuclear warfare), where the experiment is not repeatable (the breakup of the former Soviet Union), and where the data is derived from expert opinion (how conservative is a political party). In all these cases the data is difficult to measure and an assumption of randomness and/or statistical validity is questionable.

We apply our methods to real world issues in international relations such as nuclear deterrence, smart power, and cooperative threat reduction. We next apply our methods to issues in comparative politics such as successful democratization, quality of life, economic freedom, political stability, and failed states. Finally, issues involving deaf and hard of hearing children are explored.

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Linear Models in the Mathematics of Uncertainty 2013th Edition

Linear Models in the Mathematics of Uncertainty 2013th Edition book cover

Linear Models in the Mathematics of Uncertainty 2013th Edition

Author(s): Carol Jones (Author), Mark J Wierman (Author), Terry D Clark (Author), Alex Pham (Author), Michael A. Redmond (Author)

  • Publisher: Springer
  • Publication Date: March 7, 2015
  • Edition: 2013th
  • Language: English
  • Print length: 293 pages
  • ISBN-10: 3642438806
  • ISBN-13: 9783642438806

Book Description

The purpose of this book is to present new mathematical techniques for modeling global issues. These mathematical techniques are used to determine linear equations between a dependent variable and one or more independent variables in cases where standard techniques such as linear regression are not suitable.

In this book, we examine cases where the number of data points is
small (effects of nuclear warfare), where the experiment is not repeatable (the breakup of the former Soviet Union), and where the data is derived from expert opinion (how conservative is a political party). In all these cases the data is difficult to measure and an assumption of randomness and/or statistical validity is questionable.

We apply our methods to real world issues in international relations such as nuclear deterrence, smart power, and cooperative threat reduction. We next apply our methods to issues in comparative politics such as successful democratization, quality of life, economic freedom, political stability, and failed states. Finally, issues involving deaf and hard of hearing children are explored.

Editorial Reviews

Review

From the reviews:

“The research monograph is devoted to a plethora of decision-making problems whose structure involves combinations (aggregations) of causal factors. … the material is carefully structured and makes the book self-contained and easy to read to novices and those not fully familiar with the background ideas. … This coherently organized reading … will offer the reader a breadth and rigor of the technology of fuzzy sets and comes as a testimony to the need and usefulness of the technology of coping with uncertainty to real-world problems.” (Witold Pedrycz, zbMATH, Vol. 1268, 2013)

From the Back Cover

The purpose of this book is to present new mathematical techniques for modeling global issues. These mathematical techniques are used to determine linear equations between a dependent variable and one or more independent variables in cases where standard techniques such as linear regression are not suitable.

In this book, we examine cases where the number of data points is
small (effects of nuclear warfare), where the experiment is not repeatable (the breakup of the former Soviet Union), and where the data is derived from expert opinion (how conservative is a political party). In all these cases the data is difficult to measure and an assumption of randomness and/or statistical validity is questionable.

We apply our methods to real world issues in international relations such as nuclear deterrence, smart power, and cooperative threat reduction. We next apply our methods to issues in comparative politics such as successful democratization, quality of life, economic freedom, political stability, and failed states. Finally, issues involving deaf and hard of hearing children are explored.

View on Amazon

电子书代发PDF格式价格30元我要求助
未经允许不得转载:Wow! eBook » Linear Models in the Mathematics of Uncertainty 2013th Edition