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Linear Models in the Mathematics of Uncertainty (Hardcover, 2013 ed.): Carol Jones, Mark J Wierman, Terry D. Clark, Alex Pham,... Linear Models in the Mathematics of Uncertainty (Hardcover, 2013 ed.)
Carol Jones, Mark J Wierman, Terry D. Clark, Alex Pham, Michael A. Redmond
R4,377 R3,518 Discovery Miles 35 180 Save R859 (20%) Ships in 12 - 17 working days

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.

Linear Models in the Mathematics of Uncertainty (Paperback, 2013 ed.): Carol Jones, Mark J Wierman, Terry D. Clark, Alex Pham,... Linear Models in the Mathematics of Uncertainty (Paperback, 2013 ed.)
Carol Jones, Mark J Wierman, Terry D. Clark, Alex Pham, Michael A. Redmond
R3,746 Discovery Miles 37 460 Ships in 10 - 15 working days

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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