E-Book Content
Analytics and Modern Warfare
Previous Publications Economics and Modern Warfare (2012) Psychology and Modern Warfare (2013) 101 Things Everyone Needs to Know About the Global Economy (2012) Corporate Finance for Dummies (2012)
Analytics and Modern Warfare Dominance by the Numbers Michael Taillard
ANALYTICS AND MODERN WARFARE
Copyright © Michael Taillard, 2014.
Softcover reprint of the hardcover 1st edition 2014 978-1-137-39563-4 All rights reserved. First published in 2014 by PALGRAVE MACMILLAN® in the United States— a division of St. Martin’s Press LLC, 175 Fifth Avenue, New York, NY 10010. Where this book is distributed in the UK, Europe and the rest of the world, this is by Palgrave Macmillan, a division of Macmillan Publishers Limited, registered in England, company number 785998, of Houndmills, Basingstoke, Hampshire RG21 6XS. Palgrave Macmillan is the global academic imprint of the above companies and has companies and representatives throughout the world. Palgrave® and Macmillan® are registered trademarks in the United States, the United Kingdom, Europe and other countries.
ISBN 978-1-349-48429-4 ISBN 978-1-137-40787-0 (eBook) DOI 10.1057/9781137407870 Library of Congress Cataloging-in-Publication Data Taillard, Michael, 1982– Analytics and modern warfare : dominance by the numbers / Michael Taillard. pages cm Includes bibliographical references and index. 1. Military art and science—Forecasting. 2. Mathematical statistics. I. Title. U163.T35 2014 355.020151—dc23
2014024357
A catalogue record of the book is available from the British Library. Design by Newgen Knowledge Works (P) Ltd., Chennai, India. First edition: December 2014 10 9 8 7 6 5 4 3 2 1
Contents
List of Figures and Tables
vii
Preface
ix
Acknowledgments
xiii
Introduction
1 Part I
Descriptive Analytics
Chapter 1
Descriptive Statistics
11
Chapter 2
Modeling
23
Chapter 3
Comparative Assessments
37
Chapter 4
Data Diagnostics
47
Chapter 5
Challenges and Limitations
61
Chapter 6
Suggestions for Future Research
65
Part II
Predictive Analytics
Chapter 7
Probability Modeling
73
Chapter 8
Correlative and Regression Analyses
83
Chapter 9
Geospatial Intelligence
93
Chapter 10 Challenges and Limitations
103
Chapter 11 Suggestions for Future Research
107
vi
M
Contents
Part III
Operational Analytics
Chapter 12 Quality Assessments
115
Chapter 13 Efficiency Analyses
125
Chapter 14 Risk Management
139
Chapter 15 Asset Management
153
Chapter 16 Challenges and Limitations
171
Chapter 17 Suggestions for Future Research
173
Afterword
177
Critique of Current Methods
183
Index
189
Figures and Tables
Figures
1.1 1.2 2.1 4.1 7.1 12.1 12.2 14.1 14.2 15.1
Bell curve Box plot Curvilinear scatterplot Q–Q plot Venn diagram Six sigma distribution Quality goal posts Composite risk management Operations portfolio Decision tree
15 19 34 51 75 117 118 144 150 169
Tables
3.1 4.1 4.2 12.1 13.1 13.2
Reference guide Threats to external validity Threats to internal validity Six sigma statistical analysis Productivity potential without cooperation Productivity potential with cooperation
44 58 58 117 130 130
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Preface
I
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