Books on Statistical Analysis

Booz-Allen-Hamilton, 2013, The Field Guide to Data Science, http://www.

boozallen.com/media/file/The-Field-Guide-to-Data-Science.pdf.


Hubbard DW (2010) How to Measure Anything: Finding the Value of

“Intangibles” in Business, 2nd ed. (John Wiley & Sons, Hoboken, NJ).


Hillier F, Hillier M (2010) Introduction to Management Science: A Modeling and

Case Study Approach, 4th ed. (McGraw-Hill Higher Education, New York).


Vose D (2008) Risk Analysis: A Quantitative Guide, 3rd ed. (John Wiley & Sons,

Chichester, UK).



Big data: The next frontier for innovation, competition, and productivity, a

McKinsey & Company report. http://www.mckinsey.com/insights/business_

technology/big_data_the_next_frontier_for_innovation.




FURTHER READING

Berry MJA, Linoff GS (1999) Mastering Data Mining: The Art and Science of

Customer Relationship Management (Wiley, New York).

Clemen RT (1997) Making Hard Decisions: An Introduction to Decision, 2nd ed.

(Duxbury Press, Pacific Grove, CA).

Few S (2012) Show Me the Numbers: Designing Tables and Graphs to Enlighten,

2nd ed. (Analytics Press, Burlingame, CA).

Hand DJ, Mannila H, Smyth P (2001) Principles of Data Mining (MIT Press,

Boston).

Hillier FS, Lieberman GJ (2005) Introduction to Operations Research, 8th ed.

(McGraw-Hill, New York).

Law AM, Kelton DW (2000) Simulation Modeling and Analysis, 3rd ed. (McGraw-

Hill, New York).

Ross SM (2010) Introductory Statistics, 3rd ed. (Academic Press, Burlington, MA).

Siegel E (2013) Predictive Analytics: The Power to Predict Who Will Click, Buy, Lie,

or Die (Wiley, New York).

Tufte ER (2001) The Visual Display of Quantitative Information, 2nd ed. (Graphics

Press, Cheshire, CT).