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Gordon Crawford

Researcher at RAND Corporation

Publications -  6
Citations -  1065

Gordon Crawford is an academic researcher from RAND Corporation. The author has contributed to research in topics: Interdiction & Matrix (mathematics). The author has an hindex of 5, co-authored 6 publications receiving 958 citations.

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A note on the analysis of subjective judgment matrices

TL;DR: In this paper, the geometric mean (GM) vector is proposed as an alternative to the eigenvector (EV) procedure for analyzing matrices of subjective estimates of the utility of one entity relative to another, which can be applied to hierarchical problems in exactly the same way but is developed from statistical considerations.
Book

Sealing the Borders: The Effects of Increased Military Participation in Drug Interdiction

TL;DR: In this article, the consequences of greater stringency in drug interdiction efforts, focusing particularly on how such increased stringency might influence the consumption of cocaine and marijuana, were analyzed.

The Analysis of Subjective Judgment Matrices.

TL;DR: In this paper, the dominant eigenvector of a matrix of paired comparisons is used to measure the importance of each element of a collection relative to the others, and the eigen vector yields a scale of the importance for each element relative to others.
Journal ArticleDOI

Simulation of adaptive response: A model of drug interdiction

TL;DR: In this article, a Monte Carlo simulation of the smuggling and interdiction of illicit drugs is presented, which explicitly allows for adaptation across routes and modes, and examines several issues surrounding the interdict of cocaine shipments into the U.S.