Analytics and modern warfare : dominance by the numbers / Michael Taillard.

Format:

Book

Author/Creator:

Taillard, Michael, 1982- author.

Language:

English

Subjects (All):

Military art and science--Forecasting.

Military art and science.

Mathematical statistics.

Physical Description:

xiv, 193 pages ; 23 cm

Edition:

First edition.

Place of Publication:

New York, NY : Palgrave Macmillan, 2014.

Summary:

"In a variety of sectors ranging from defense to business to political parties there has been an increasing interest in the use of analytics to predict future trends, calculate outcomes, increase efficiency, assess risk, and optimize decisions. Analytics and Modern Warfare delves directly into the various types of analytics and the way in which they are utilized so that the reader can precisely describe what has happened and what is happening, predict future or otherwise unknown events with great accuracy, and develop custom strategies which guarantee that goals are met and operations reach their maximum potential. Utilizing these methods, organizations of any sort can develop customized strategies that give them a substantial advantage over their opposition. When done properly, analytics by themselves can be an immensely beneficial core competency, if one is only aware of what is possible"-- Provided by publisher.

"The skill with which one wields quantitative analytics defines their success. This book details very simply and for even the most novice of potential analysts not only how to perform analytics which describe what is happening, predict what is going to happen, and optimize responses, but also places these analytics in the context of proactive strategy development"-- Provided by publisher.

Contents:

Machine generated contents note:

Acknowledgements

Preface

Introduction

A Critique of Current Methods

Part I: Descriptive Analytics

Chapter 1) Descriptive Statistics

Chapter 2) Modeling

Chapter 3) Comparative Assessments

Chapter 4) Data Diagnostics

Chapter 5) Challenges and Limitations

Chapter 6) Suggestions for Future Research

Part II: Predictive Analytics

Chapter 7) Probability Modeling

Chapter 8) Correlative and Regression Analyses

Chapter 9) Geospatial Intelligence

Chapter 10) Challenges and Limitations

Chapter 11) Suggestions for Future Research

Part III: Operational Analytics

Chapter 12) Quality Assessments

Chapter 13) Efficiency Analyses

Chapter 14) Risk Management

Chapter 15) Asset Management

Chapter 16) Challenges and Limitations

Chapter 17) Suggestions for Future Research

Conclusion

Afterword

Index.

Notes:

Includes index.

Includes bibliographical references and index.

ISBN:

9781137395634

113739563X

OCLC:

886489755