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Global Sensitivity Analysis
Complex mathematical and computational models are used in all areas of society and technology and yet model based science is increasingly contested or refuted, especially when models are applied to controversial themes in domains such as health, the environment or the economy. More stringent standards of proofs are demanded from model-based numbers, especially when these numbers represent potential financial losses, threats to human health or the state of the environment. Quantitative sensitivity analysis is generally agreed to be one such standard. Mathematical models are good at mapping assumptions into inferences. A modeller makes assumptions about laws pertaining to the system, about its...
Waves of War
A new perspective on how the nation-state emerged and proliferated across the globe, accompanied by a wave of wars. Andreas Wimmer explores these historical developments using social science techniques of analysis and datasets that cover the entire modern world.
Sensitivity Analysis in Practice
Sensitivity analysis should be considered a pre-requisite for statistical model building in any scientific discipline where modelling takes place. For a non-expert, choosing the method of analysis for their model is complex, and depends on a number of factors. This book guides the non-expert through their problem in order to enable them to choose and apply the most appropriate method. It offers a review of the state-of-the-art in sensitivity analysis, and is suitable for a wide range of practitioners. It is focussed on the use of SIMLAB – a widely distributed freely-available sensitivity analysis software package developed by the authors – for solving problems in sensitivity analysis of ...
Statistical Methods for the Evaluation of University Systems
This book presents a collection of statistical methods and procedures to assess data coming from educational systems. The topics examined include: statistical methods for constructing composite indicators, applied measurements, assessment of educational systems, measurement of the performance of the students at Italian universities, and statistical modeling for questionnaire data. Other issues are the implications of introducing different assessment criteria and procedures to the Italian university system.
In Or Out
Annotation. "This report marshals the best available empirical evidence on the size and nature of the euro's pro-trade effects and groups the policy implications of these findings into two broad categories - lessons for potential joiners; and lessons for the euro area's current members and its economic management."--Jacket.
Agents, Games, and Evolution
Games, or contexts of strategic interaction, pervade and suffuse our lives and the lives of all organisms. How are we to make sense of and cope with such situations? How should an agent play? When will and when won't cooperation arise and be maintained? Using examples and a careful digestion of the literature, Agents, Games, and Evolution: Strategies at Work and Play addresses these encompassing themes throughout, and is organized into four parts: Part I introduces classical game theory and strategy selection. It compares ideally rational and the "naturalist" approach used by this book, which focuses on how actual agents chose their strategies, and the effects of these strategies on model sy...
Handbook on Constructing Composite Indicators: Methodology and User Guide
A guide for constructing and using composite indicators for policy makers, academics, the media and other interested parties. In particular, this handbook is concerned with indicators which compare and rank country performance.
Modelling Under Risk and Uncertainty
Modelling has permeated virtually all areas of industrial, environmental, economic, bio-medical or civil engineering: yet the use of models for decision-making raises a number of issues to which this book is dedicated: How uncertain is my model ? Is it truly valuable to support decision-making ? What kind of decision can be truly supported and how can I handle residual uncertainty ? How much refined should the mathematical description be, given the true data limitations ? Could the uncertainty be reduced through more data, increased modeling investment or computational budget ? Should it be reduced now or later ? How robust is the analysis or the computational methods involved ? Should / cou...
The Culture and Development Manifesto
With fascinating examples from around the world, this inspiring "manifesto" shows how to account for cultural diversity in reshaping economic and political development. Around the world, the realities of underdevelopment are harsh and galling, and current strategies are not working well enough or quickly enough. One reason, Robert Klitgaard argues in this pathbreaking book, is that the strategies don't take cultural diversity into account. Gently but firmly, he shows how and why anthropology and cultural studies have not been effectively applied. But it need not be so. The Culture and Development Manifesto shows how to mobilize knowledge from and for the disadvantaged, the indigenous, and the voiceless. Looking beyond interactions between cultural contexts and particular projects, Klitgaard seeks new ways to think about goals, new kinds of alternatives, new and perhaps hybrid ways to implement or resist, and, as a result, new kinds of politics. In short, this remarkable book fundamentally re-envisions what development policy can be.
Waste Water
Fresh water resources are under serious stress throughout the globe. Water supply and water quality degradation are global concerns. Many natural water bodies receive a varied range of waste water from point and/or non point sources. Hence, there is an increasing need for better tools to asses the effects of pollution sources and prevent the contamination of aquatic ecosystems. The book covers a wide spectrum of issues related to waste water monitoring, the evaluation of waste water effect on different natural environments and the management of water resources.
