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Author

Perry, Walt L.

Title Predicting suicide attacks : integrating spatial, temporal, and social features of terrorist attack targets / Walter L. Perry, Claude Berrebi, Ryan Andrew Brown, John Hollywood, Amber Jaycocks, Parisa Roshan,.

Publication Info.

Santa Monica, CA : RAND, [2013]

Connect to
Connect to https://pittstate.idm.oclc.org/login?url=https://www.jstor.org/stable/10.7249/j.ctt2jc9d2

Copies

Location	Call No.	OPAC Message	Status
Axe JSTOR Open Ebooks	Electronic Book	---	Available

Description	1 online resource
	text rdacontent
	computer rdamedia
	online resource rdacarrier
Series	Rand Corporation monograph series
	Rand Corporation monograph series.
Bibliography	Includes bibliographical references.
Note	Description based on print version record and CIP data provided by publisher.
Contents	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
	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
	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
Summary	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.
Subject	Suicide bombings -- Israel.
	Terrorism -- Israel.
	Terrorists -- Suicidal behavior -- Israel.
	Attentats-suicides -- Israël.
	Terrorisme -- Israël.
	Terroristes -- Comportement suicidaire -- Israël.
	Suicide bombings
	Terrorism
	Terrorists -- Suicidal behavior
	Israel
Genre/Form	Case studies
In:	Books at JSTOR: Open Access JSTOR
Other Form:	Print version: Perry, Walt L. Predicting suicide attacks Santa Monica, CA : RAND, [2013] 9780833078001 (DLC) 2013005100
ISBN	9780833078018 (epub)
	0833078011
	9780833078025 (prc)
	083307802X
	9780833078032 ( ebook/pdf)
	0833078038
	9780833078001 (pbk. : alk. paper)
	0833078003
	9780833078001
Report No.	RAND/MG-1246-NRL
Standard No.	AU@ 000052905945
	DEBBG BV043036029
	DEBBG BV044177774
	DEBSZ 397626762
	DEBSZ 429968345
	GBVCP 1008658308
	GBVCP 800228227
	NZ1 15025573
	AU@ 000050679358
	DKDLA 820120-katalog:999939368705765