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180730 r ||| eng |
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|a 0833078038
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|a 9780833078001
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|a 0833078003
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|a 0833078011
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|z 9780833078001 (pbk. : alk. paper
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|a 9780833078001
|c (pbk. : alk. paper
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|a HV6433.I75
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|a Perry, Walt L.
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|a Predicting suicide attacks
|h Elektronische Ressource
|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,
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| 260 |
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|a Santa Monica, CA
|b RAND
|c [2013], 2013
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| 300 |
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|a 1 online resource
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|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
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|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
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|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
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|a Includes bibliographical references
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|a eng
|2 ISO 639-2
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| 989 |
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|b ZDB-39-JOA
|a JSTOR Open Access Books
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|a Rand Corporation monograph series
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|a RAND/MG-1246-NRL
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|t Books at JSTOR: Open Access
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|z 9780833078032
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| 856 |
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|u https://www.jstor.org/stable/10.7249/j.ctt2jc9d2
|x Verlag
|3 Volltext
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|a 363.325/12
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|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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