The Design of Experiments

back to index

18 results

Prophecy: Prediction, Power, and the Fight for the Future, from Ancient Oracles to AI

by Carissa Véliz  · 21 Apr 2026  · 503pp  · 129,255 words

light.[32] Peirce was also the first to use an artificial randomizer to choose the sequence of empirical trials. He introduced sampling and randomization in the design of experiments as a technique to draw statistical inferences. Peirce taught us that induction is a way not only of thinking but of doing.[33] Scientists manipulate

Is God a Mathematician?

by Mario Livio  · 6 Jan 2009  · 315pp  · 93,628 words

example. the influential British statistician: For a brief description of some of his work see Tabak 2004. Fisher wrote an extremely original, nontechnical article about the design of experiments entitled “Mathematics of a Lady Tasting Tea” (see Fisher 1956). in his book Ars Conjectandi: For a superb translation see Bernoulli 1713b. He then proceeded

The Economics of Enough: How to Run the Economy as if the Future Matters

by Diane Coyle  · 21 Feb 2011  · 523pp  · 111,615 words

, economists have shown that markets operate exactly as conventional economic models based on rational self-interest would predict.3 For another thing, subtle changes in the design of experiments can change the outcomes dramatically, as economist John List has documented.4 List cautions against drawing hard and fast conclusions about human nature from the

Trick or Treatment: The Undeniable Facts About Alternative Medicine

by Edzard Ernst and Simon Singh  · 17 Aug 2008  · 357pp  · 110,072 words

the milk to deteriorate – these proteins then taste slightly sour. Fisher used this simple example as the basis for an entire book on scientific testing, The Design of Experiments, which went into great detail about the subtleties of trials. Despite its sheer simplicity and powerful ability to get to the truth, some alternative therapists

The Book of Why: The New Science of Cause and Effect

by Judea Pearl and Dana Mackenzie  · 1 Mar 2018

bias might be less than if you controlled for M, it is still there. For this reason later statisticians, notably David Cox in his textbook The Design of Experiments (1958), warned that you should only control for Z if you have a “strong prior reason” to believe that it is not affected by X

back-door paths for, 158–159 in intervention, 220 deconfounding games, 159–165 deduction, induction and, 93 deep learning, 3, 30, 359, 362 Democritus, 34 The Design of Experiments (Cox), 154 developmental factors, of guinea pigs, 74–76, 75 (fig.) Dewar, James, 53 Diaconis, Persi, 196 difference, in coefficients, 327 direct effect, 297, 300

The Art of Statistics: How to Learn From Data

by David Spiegelhalter  · 2 Sep 2019  · 404pp  · 92,713 words

. CHAPTER 10: ANSWERING QUESTIONS AND CLAIMING DISCOVERIES 1. J. Arbuthnot, ‘An Argument for Divine Providence…’, Philosophical Transactions 27 (1710), 186–90. 2. R. A. Fisher, The Design of Experiments (Oliver and Boyd, 1935), p. 19. 3. There are 54 × 53 × 52…× 2 × 1 permutations, which is termed ‘54 factorial’ and denoted 54!. This is

The Perfect Bet: How Science and Math Are Taking the Luck Out of Gambling

by Adam Kucharski  · 23 Feb 2016  · 360pp  · 85,321 words

grid. How can we scatter the treatments across the area without risking all of them ending up in the same place? In his landmark book The Design of Experiments, Fisher suggested that the four treatments be distributed so that they appear in each row and column only once. If the field had good soil

The Rise and Fall of Modern Medicine

by M. D. James le Fanu M. D.  · 1 Jan 1999  · 564pp  · 163,106 words

identified more than enough of the cups of tea into which the tea had been poured first to prove her case. In his classic book The Design of Experiments, published in 1935, Fisher used this example ‘to state the terms of the experiment minutely and distinctly; predicted all possible results, ascertaining by sensible reasoning

The Structure of Scientific Revolutions

by Thomas S. Kuhn and Ian Hacking  · 1 Jan 1962  · 314pp  · 91,652 words

to elaborate these various possibilities and to distinguish between them; all these experiments arose from the caloric theory as paradigm, and all exploited it in the design of experiments and in the interpretation of results.8Once the phenomenon of heating by compression had been established, all further experiments in the area were paradigm-dependent

The Sum of Small Things: A Theory of the Aspirational Class

by Elizabeth Currid-Halkett  · 14 May 2017  · 550pp  · 89,316 words

Fischer, one of those present, who would later go on to become “Sir Fischer” and the godfather of modern empirical statistics with his famous book The Design of Experiments, had an idea. Surely, if eight cups of tea were poured, four with “milk in first” and the other four with tea in first, and

The Art of Statistics: Learning From Data

by David Spiegelhalter  · 14 Oct 2019  · 442pp  · 94,734 words

Thinking with Data

by Max Shron  · 15 Aug 2014

Data-Ism: The Revolution Transforming Decision Making, Consumer Behavior, and Almost Everything Else

by Steve Lohr  · 10 Mar 2015  · 239pp  · 70,206 words

Enriching the Earth: Fritz Haber, Carl Bosch, and the Transformation of World Food Production

by Vaclav Smil  · 18 Dec 2000

Succeeding With AI: How to Make AI Work for Your Business

by Veljko Krunic  · 29 Mar 2020

Liquid: The Delightful and Dangerous Substances That Flow Through Our Lives

by Mark Miodownik  · 5 Sep 2018  · 219pp  · 74,775 words

Statistics in a Nutshell

by Sarah Boslaugh  · 10 Nov 2012

Creative Intelligence: Harnessing the Power to Create, Connect, and Inspire

by Bruce Nussbaum  · 5 Mar 2013  · 385pp  · 101,761 words