References for Advanced Statistics

A list of useful references for statistics, data analysis and solving big problems

Books

• Critical Chain — Eliyahu M. Goldratt
• The Goal — Eliyahu M. Goldratt
• Loon shots — How to Nurture the Crazy Ideas That Win Wars, Cure Diseases, and Transform Industries — Safi Bahcall
• Out of the Crisis — Deming
• Dear Data -Lupi_Georgia,_Stefanie_Posavec
• Pyramid principle
• Nudge- Improving Decisions About Health, Wealth, and Happiness — Richard Thaler
• Analysis and control of variation — John McConnell
• Mistakes were made (but not by me) — : Why We Justify Foolish Beliefs, Bad Decisions, and Hurtful Acts — Caroll Tavris and Elliot Aronson
• Freakonomics — A Rogue Economist Explores The Hidden Side Of Everything — Steven Levvit
• The Theory That Would Not Die- How Bayes’ Rule Cracked the Enigma Code, Hunted Down Russian Submarines, and Emerged Triumphant from Two Centuries of Controversy — Sharon Bertsch McGrayne
• High Output Management — Andy Grove
• The Signal and the Noise — Nate Silver
• The Master Algorithm — How the Quest for the Ultimate Learning Machine Will Remake Our World — Pedro Domingos
• Think Twice — Harnessing the power of Counterintuition — Michael Maubooussin
• How not to be Wrong — Jordan Ellenberg
• Moneyball — Michael Lewis
• Where Good Ideas Come From — Steven Johnston.
• The Power of Positive Deviance — Richard Pascale, Jerry Sternin, and Monique Sternin
• How to Measure Anything — Douglas W Hubbard
• Slide:ology — Nancy Duarte
• The Minto Pyramid Principle — Barbara Minto

10x Curiosity

• Systems Archetypes- Places to intervene — An advantage with using systems archetypes as a problem solving methodology is that places to intervene in the system can be thought through and played with.
• Probabilistic Thinking — Monte Carlo Analysis
• A System Mindset to improve your decision analysis as outlined by Safi Bahcall
• Problem Solving with Claude Shannon — A great mind of the 20th Century and his unique approach to problem solving.
• Theory of Constraints — The Goal — To maximise the production capacity of the system you need to maximise the throughput at the bottleneck.
• Serendipity and the Adjacent Possible — Why do many great ideas get discovered at almost the same time? How can you cultivate serendipity and move into the adjacent possible with your work?
• Positive Deviance and “Bright Spot” Analysis — When solving complex problems, it sometimes pays to start with what is working rather than figure out what is not…
• Utilising “Little’s Law” to drive your improvements through reduced variation — Improved quality, increased throughput and better recoveries. We can have it all if we understand and know how to reduce variation.
• Bayes — How Can you be less wrong? — Bayesean thinking is all about using the information around you to be less wrong.
• The Thinking Process and Evaporation Clouds — There is no such thing as a real conflict, only unexamined assumptions
• The Master Algorithm — Understanding the main schools of machine learning algorithms
• Percolation models — wild fires, pandemics and extinctions One model helps to explain much of the natural world around us
• Know your Domain — The Cynefin Framework
• The Secret to how Toyota Innovate — Set-Based Concurrent Engineering — Traditional design practice, tends to quickly converge on a solution. By contrast SBCE keeps many options in development in parallel and consistently delivers superior results.
• Looking in the rear view mirror… — Are you aware of the hindsight bias you are applying to your reaction to events that happen in life?
• Luck and reversion to the mean — Are you fully acknowledging the role luck is playing in the outcomes? Does a good outcome reflect your good skill, or did you just get lucky?
• KANO Model to understand your customer and better scope requirements — Understanding what will really impress your customers.
• Worst to Best — Lessons from NUMMI — The story of how the Toyota Production system turned around the worst car plant in North America
• System of Profound Knowledge — Deming developed his system of profound knowledge to describe the work of organisations.

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