Statistical hypothesis testing (English Wikipedia)

Analysis of information sources in references of the Wikipedia article "Statistical hypothesis testing" in English language version.

refsWebsite
Global rank English rank
2nd place
2nd place
11th place
8th place
4th place
4th place
6th place
6th place
26th place
20th place
1st place
1st place
18th place
17th place
207th place
136th place
2,106th place
low place
7,670th place
5,196th place
3,316th place
1,982nd place
6,762nd place
4,421st place
low place
low place
6,219th place
4,029th place
1,880th place
1,218th place
2,431st place
1,607th place
low place
low place
14th place
14th place
low place
9,659th place
4,725th place
3,556th place
4,539th place
2,858th place
102nd place
76th place
1,624th place
1,592nd place
274th place
309th place
5th place
5th place
124th place
544th place
3rd place
3rd place
27th place
51st place
2,128th place
1,553rd place
low place
low place
3,837th place
2,524th place
low place
low place
low place
low place
702nd place
520th place
1,067th place
749th place
low place
low place

archive.org

archive.today

auckland.ac.nz

stat.auckland.ac.nz

bnf.fr

gallica.bnf.fr

books.google.com

collegeboard.com

corestandards.org

doi.org

duke.edu

ftp.isds.duke.edu

epidemiology.ch

gmu.edu

mres.gmu.edu

  • Meehl, Paul E. (1967). "Theory-Testing in Psychology and Physics: A Methodological Paradox" (PDF). Philosophy of Science. 34 (2): 103–115. doi:10.1086/288135. S2CID 96422880. Archived from the original (PDF) on December 3, 2013. Thirty years later, Meehl acknowledged statistical significance theory to be mathematically sound while continuing to question the default choice of null hypothesis, blaming instead the "social scientists' poor understanding of the logical relation between theory and fact" in "The Problem Is Epistemology, Not Statistics: Replace Significance Tests by Confidence Intervals and Quantify Accuracy of Risky Numerical Predictions" (Chapter 14 in Harlow (1997)).

google.de

  • Lewis, Nancy D.; Lewis, Nigel Da Costa; Lewis, N. D. (2013). 100 Statistical Tests in R: What to Choose, how to Easily Calculate, with Over 300 Illustrations and Examples. Heather Hills Press. ISBN 978-1-4840-5299-0.
  • Kanji, Gopal K. (18 July 2006). 100 Statistical Tests. SAGE. ISBN 978-1-4462-2250-8.

handle.net

hdl.handle.net

harvard.edu

ui.adsabs.harvard.edu

icmje.org

  • "ICMJE: Obligation to Publish Negative Studies". Archived from the original on July 16, 2012. Retrieved September 3, 2012. Editors should seriously consider for publication any carefully done study of an important question, relevant to their readers, whether the results for the primary or any additional outcome are statistically significant. Failure to submit or publish findings because of lack of statistical significance is an important cause of publication bias.

iu.edu

jkkweb.sitehost.iu.edu

jasnh.com

  • Journal of Articles in Support of the Null Hypothesis website: JASNH homepage. Volume 1 number 1 was published in 2002, and all articles are on psychology-related subjects.

jstor.org

kuleuven.be

lirias.kuleuven.be

mpg.de

library.mpib-berlin.mpg.de

nap.edu

nih.gov

pubmed.ncbi.nlm.nih.gov

ncbi.nlm.nih.gov

psu.edu

citeseerx.ist.psu.edu

semanticscholar.org

api.semanticscholar.org

soton.ac.uk

economics.soton.ac.uk

springer.com

link.springer.com

stats.org.uk

  • Rozeboom, William W (1960). "The fallacy of the null-hypothesis significance test" (PDF). Psychological Bulletin. 57 (5): 416–428. CiteSeerX 10.1.1.398.9002. doi:10.1037/h0042040. PMID 13744252. "...the proper application of statistics to scientific inference is irrevocably committed to extensive consideration of inverse [AKA Bayesian] probabilities..." It was acknowledged, with regret, that a priori probability distributions were available "only as a subjective feel, differing from one person to the next" "in the more immediate future, at least".

ttu.edu

rhowell.ba.ttu.edu

upenn.edu

repository.upenn.edu

vt.edu

phil.vt.edu

washington.edu

stat.washington.edu

web.archive.org

  • Laplace, P. (1778). "Mémoire sur les probabilités" (PDF). Mémoires de l'Académie Royale des Sciences de Paris. 9: 227–332. Archived from the original (PDF) on April 27, 2015. Retrieved September 5, 2013.
  • Raymond Hubbard, M. J. Bayarri, P Values are not Error Probabilities Archived September 4, 2013, at the Wayback Machine. A working paper that explains the difference between Fisher's evidential p-value and the Neyman–Pearson Type I error rate .
  • Meehl, Paul E. (1967). "Theory-Testing in Psychology and Physics: A Methodological Paradox" (PDF). Philosophy of Science. 34 (2): 103–115. doi:10.1086/288135. S2CID 96422880. Archived from the original (PDF) on December 3, 2013. Thirty years later, Meehl acknowledged statistical significance theory to be mathematically sound while continuing to question the default choice of null hypothesis, blaming instead the "social scientists' poor understanding of the logical relation between theory and fact" in "The Problem Is Epistemology, Not Statistics: Replace Significance Tests by Confidence Intervals and Quantify Accuracy of Risky Numerical Predictions" (Chapter 14 in Harlow (1997)).
  • "ICMJE: Obligation to Publish Negative Studies". Archived from the original on July 16, 2012. Retrieved September 3, 2012. Editors should seriously consider for publication any carefully done study of an important question, relevant to their readers, whether the results for the primary or any additional outcome are statistically significant. Failure to submit or publish findings because of lack of statistical significance is an important cause of publication bias.

wikisource.org

en.wikisource.org

worldcat.org

xu.edu

cerebro.xu.edu

york.ac.uk