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Predicting suicide attacks : integrating spatial, temporal, and social features of terrorist attack targets /

As part of an exploration of ways to predict what determines the targets of suicide attacks, RAND conducted a proof-of-principle analysis of whether adding sociocultural, political, economic, and demographic factors would enhance the predictive ability of a methodology that focused on geospatial fea...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Perry, Walt L.
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Santa Monica, CA : RAND, [2013]
Temas:
Acceso en línea:Texto completo

MARC

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100 1 |a Perry, Walt L. 
245 1 0 |a Predicting suicide attacks :  |b integrating spatial, temporal, and social features of terrorist attack targets /  |c Walter L. Perry, Claude Berrebi, Ryan Andrew Brown, John Hollywood, Amber Jaycocks, Parisa Roshan,. 
264 1 |a Santa Monica, CA :  |b RAND,  |c [2013] 
300 |a 1 online resource 
336 |a text  |2 rdacontent 
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504 |a Includes bibliographical references. 
588 |a Description based on print version record and CIP data provided by publisher. 
505 0 |a Cover; Title Page; Copyright; Preface; Contents; Figures; Tables; Summary; Acknowledgments; Abbreviations; CHAPTER ONE: Introduction and Overview; Background; About This Report; CHAPTER TWO: Quantitative Data and Methods; Quantitative Data; Socioeconomic Characteristics; Demographic Characteristics; Electoral Data; Proximity to Terrorist Safe Houses; Sociocultural Precipitants; Principal Component Analysis and Logistic Regression; Logistic Regression; Dimension Reduction; Classification and Regression Trees; Sociocultural Precipitants Analysis; Results of Quantitative Data Analysis 
505 8 |a Principal Components Analysis Logistic Regression Models; Classification and Regression Trees; Sociocultural Precipitants; Summing Up; CHAPTER THREE: Qualitative Analysis; Methodology; Hypotheses Driving the Use of the Methodology; Assumptions in Using the Methodology; Restrictions; Timing; Results of Qualitative Data Analysis; Identification of Codes; Distribution of Codes; Retargeting of Previously Attacked Locations; Dispersion of Attacks over Time; Assessment of Transportation Targets; Comparison of Codes to a Subject-Matter Expert Hypothesis; CHAPTER FOUR: Conclusions and Recommendations 
505 8 |a Conclusions from Quantitative Data Analysis Conclusions from Qualitative Data Analysis; Recommendations for Further Research; Regression Analyses and Classification; Sociocultural Precipitants; Transferability; Appendixes; A. Sociocultural Precipitant Database; B. Logistic Regression Output; About the Authors; Bibliography 
520 |a As part of an exploration of ways to predict what determines the targets of suicide attacks, RAND conducted a proof-of-principle analysis of whether adding sociocultural, political, economic, and demographic factors would enhance the predictive ability of a methodology that focused on geospatial features. This test case focused on terrorist bombing incidents in Israel, but the findings indicate that the methodology merits further exploration. 
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650 0 |a Suicide bombings  |z Israel. 
650 0 |a Terrorism  |z Israel. 
650 0 |a Terrorists  |x Suicidal behavior  |z Israel. 
650 6 |a Attentats-suicides  |z Israël. 
650 6 |a Terrorisme  |z Israël. 
650 6 |a Terroristes  |x Comportement suicidaire  |z Israël. 
650 7 |a Suicide bombings  |2 fast 
650 7 |a Terrorism  |2 fast 
650 7 |a Terrorists  |x Suicidal behavior  |2 fast 
651 7 |a Israel  |2 fast 
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