Open main menu
Home
Random
Recent changes
Special pages
Community portal
Preferences
About Wikipedia
Disclaimers
Incubator escapee wiki
Search
User menu
Talk
Dark mode
Contributions
Create account
Log in
Editing
Design of experiments
(section)
Warning:
You are not logged in. Your IP address will be publicly visible if you make any edits. If you
log in
or
create an account
, your edits will be attributed to your username, along with other benefits.
Anti-spam check. Do
not
fill this in!
==History== ===Statistical experiments, following Charles S. Peirce=== {{Main|Frequentist statistics}} {{See also|Randomization}} A theory of [[statistical inference]] was developed by [[Charles Sanders Peirce|Charles S. Peirce]] in "[[Charles Sanders Peirce bibliography#illus|Illustrations of the Logic of Science]]" (1877β1878)<ref>Peirce, Charles Sanders (1887). "Illustrations of the Logic of Science". Open Court (10 June 2014). {{ISBN|0812698495}}.</ref> and "[[Charles Sanders Peirce bibliography#SIL|A Theory of Probable Inference]]" (1883),<ref>Peirce, Charles Sanders (1883). "A Theory of Probable Inference". In C. S. Peirce (Ed.), Studies in logic by members of the Johns Hopkins University (p. 126β181). Little, Brown and Co (1883)</ref> two publications that emphasized the importance of randomization-based inference in statistics.<ref name=Stigler78>{{cite journal |last1=Stigler |first1=Stephen M. |author-link=Stephen Stigler |year=1978 |title=Mathematical statistics in the early States |url=http://projecteuclid.org/euclid.aos/1176344123 |journal=Annals of Statistics |volume=6 |issue= 2|pages=239β65 [248] |quote="Indeed, Pierce's work contains one of the earliest explicit endorsements of mathematical randomization as a basis for inference of which I am aware (Peirce, 1957, pages 216β219" | doi=10.1214/aos/1176344123 |jstor=2958876 |mr=483118|doi-access=free }}</ref> ====Randomized experiments==== {{Main|Random assignment}} {{See also|Repeated measures design}} Charles S. Peirce randomly assigned volunteers to a [[blinding (medicine)|blinded]], [[repeated measures design|repeated-measures design]] to evaluate their ability to discriminate weights.<ref name="smalldiff">{{Cite journal| last1= Peirce|first1=Charles Sanders|last2=Jastrow|first2=Joseph |author-link1=Charles Sanders Peirce|author-link2=Joseph Jastrow|year=1885|title=On Small Differences in Sensation|url=http://psychclassics.yorku.ca/Peirce/small-diffs.htm| journal=Memoirs of the National Academy of Sciences|volume=3|pages=73β83}}</ref><ref name="telepathy">of {{Cite journal|first=Ian |last=Hacking| author-link=Ian Hacking | title=Telepathy: Origins of Randomization in Experimental Design|journal=[[Isis (journal)|Isis]]|issue=3|volume=79|date=September 1988 |pages=427β451|jstor=234674|mr=1013489 | doi=10.1086/354775|s2cid=52201011}}</ref><ref name="stigler"> {{Cite journal|author=Stephen M. Stigler|title=A Historical View of Statistical Concepts in Psychology and Educational Research| journal=American Journal of Education| volume=101|issue=1|date=November 1992|pages=60β70|jstor=1085417|doi=10.1086/444032 |s2cid=143685203|author-link=Stephen M. Stigler}}</ref><ref name="dehue"> {{Cite journal|author=Trudy Dehue|title=Deception, Efficiency, and Random Groups: Psychology and the Gradual Origination of the Random Group Design|journal=[[Isis (journal)|Isis]]|volume=88|issue=4|date=December 1997|pages=653β673|doi=10.1086/383850|pmid=9519574|s2cid=23526321|url=https://www.rug.nl/research/portal/en/publications/deception-efficiency-and-random-groups(459e54f0-1e56-4390-876a-46a33e80621d).html}}</ref> Peirce's experiment inspired other researchers in psychology and education, which developed a research tradition of randomized experiments in laboratories and specialized textbooks in the 1800s.<ref name="smalldiff"/><ref name="telepathy"/><ref name="stigler"/><ref name="dehue"/> ====Optimal designs for regression models==== {{Main|Response surface methodology}} {{See also|Optimal design}} [[Charles Sanders Peirce|Charles S. Peirce]] also contributed the first English-language publication on an [[optimal design]] for [[Regression analysis|regression]] [[statistical model|models]] in 1876.<ref>{{cite journal| author=Peirce, C. S. | year=1876| title=Note on the Theory of the Economy of Research | journal=Coast Survey Report | pages=197β201| author-link=Charles Sanders Peirce}}, actually published 1879, NOAA [http://docs.lib.noaa.gov/rescue/cgs/001_pdf/CSC-0025.PDF#page=222 PDF Eprint] {{Webarchive|url=https://web.archive.org/web/20170302071239/https://docs.lib.noaa.gov/rescue/cgs/001_pdf/CSC-0025.PDF#page=222 |date=2 March 2017 }}.<br /> Reprinted in ''[[Charles Sanders Peirce bibliography#CP|Collected Papers]]'' '''7''', paragraphs 139β157, also in ''[[Charles Sanders Peirce bibliography#W|Writings]]'' '''4''', pp. 72β78, and in {{cite journal| author=Peirce, C. S. |date=JulyβAugust 1967 | title=Note on the Theory of the Economy of Research | journal=Operations Research |volume=15 | issue=4|pages=643β648 | jstor=168276|doi=10.1287/opre.15.4.643 |author-link=Charles Sanders Peirce }}</ref> A pioneering [[optimal design]] for [[polynomial regression]] was suggested by [[Joseph Diaz Gergonne|Gergonne]] in 1815. In 1918, [[Kirstine Smith]] published optimal designs for polynomials of degree six (and less).<ref name=GL2009>{{cite journal |last1=Guttorp |first1=P. |last2=Lindgren |first2=G. |title= Karl Pearson and the Scandinavian school of statistics |journal= International Statistical Review |volume=77 |year=2009 |page=64 |doi=10.1111/j.1751-5823.2009.00069.x|citeseerx=10.1.1.368.8328 |s2cid=121294724 }}</ref><ref name="polynomials">{{Cite journal| last1= Smith| first1=Kirstine| author-link1=Kirstine Smith| year=1918| title=On the standard deviations of adjusted and interpolated values of an observed polynomial function and its constants and the guidance they give towards a proper choice of the distribution of observations.| url=https://books.google.com/books?id=UMNLAAAAYAAJ | journal=Biometrika|volume=12| issue=1β2|pages=1β85| doi=10.1093/biomet/12.1-2.1| url-access=subscription}}</ref> ===Sequences of experiments=== {{Main|Sequential analysis}} {{See also|Multi-armed bandit problem|Gittins index|Optimal design}} The use of a sequence of experiments, where the design of each may depend on the results of previous experiments, including the possible decision to stop experimenting, is within the scope of [[sequential analysis]], a field that was pioneered<ref>Johnson, N.L. (1961). "Sequential analysis: a survey." ''[[Journal of the Royal Statistical Society]]'', Series A. Vol. 124 (3), 372–411. (pages 375–376)</ref> by [[Abraham Wald]] in the context of sequential tests of statistical hypotheses.<ref>Wald, A. (1945) "Sequential Tests of Statistical Hypotheses", [[Annals of Mathematical Statistics]], 16 (2), 117–186.</ref> [[Herman Chernoff]] wrote an overview of optimal sequential designs,<ref name="ref3"/> while [[Adaptive design (medicine)|adaptive designs]] have been surveyed by S. Zacks.<ref>Zacks, S. (1996) "Adaptive Designs for Parametric Models". In: Ghosh, S. and Rao, C. R., (Eds) (1996). "Design and Analysis of Experiments," ''Handbook of Statistics'', Volume 13. North-Holland. {{ISBN|0-444-82061-2}}. (pages 151–180)</ref> One specific type of sequential design is the "two-armed bandit", generalized to the [[multi-armed bandit]], on which early work was done by [[Herbert Robbins]] in 1952.<ref>{{cite journal | doi = 10.1090/S0002-9904-1952-09620-8 | last1 = Robbins | first1 = H. | year = 1952 | title = Some Aspects of the Sequential Design of Experiments | journal = Bulletin of the American Mathematical Society | volume = 58 | issue = 5| pages = 527β535 | doi-access = free }}</ref>
Edit summary
(Briefly describe your changes)
By publishing changes, you agree to the
Terms of Use
, and you irrevocably agree to release your contribution under the
CC BY-SA 4.0 License
and the
GFDL
. You agree that a hyperlink or URL is sufficient attribution under the Creative Commons license.
Cancel
Editing help
(opens in new window)