Cover: Weapon Mix and Exploratory Analysis

Weapon Mix and Exploratory Analysis

A Case Study

Published 1997

by Arthur Brooks, Steven C. Bankes, Bart E. Bennett


Download eBook for Free

FormatFile SizeNotes
PDF file 2.2 MB

Use Adobe Acrobat Reader version 10 or higher for the best experience.


Purchase Print Copy

 Format Price
Add to Cart Paperback72 pages $23.00

A new approach to model-based analysis--exploratory analysis--expands on traditional analytic approaches to enhance understanding of complex problems, provides a wider range of information for decisionmakers, and improves comparisons among alternative modeling venues. This documented briefing discusses and illustrates the advantages of exploratory analysis over more traditional model-based analysis in the context of the weapon mix problem. While traditional analysis provides useful information, it is limited and may not reflect the possible range of acceptable answers. Improving the model or data alone can be inefficient and not solve the problem. Exploratory analysis, on the other hand, provides decisionmaking flexibility, robustness across contingencies, risk neutralization, and greater understanding of the model.

Research conducted by

This report is part of the RAND documented briefing series. RAND documented briefings are based on research presented to a client, sponsor, or targeted audience in briefing format. Additional information is provided in the documented briefing in the form of the written narration accompanying the briefing charts. All RAND documented briefings undergo rigorous peer review to ensure that they meet high standards for research quality and objectivity. However, they are not expected to be comprehensive and may present preliminary findings. Major research findings are published in the monograph series; supporting or preliminary research is published in the technical report series.

This document and trademark(s) contained herein are protected by law. This representation of RAND intellectual property is provided for noncommercial use only. Unauthorized posting of this publication online is prohibited; linking directly to this product page is encouraged. Permission is required from RAND to reproduce, or reuse in another form, any of its research documents for commercial purposes. For information on reprint and reuse permissions, please visit

RAND is a nonprofit institution that helps improve policy and decisionmaking through research and analysis. RAND's publications do not necessarily reflect the opinions of its research clients and sponsors.