as in parametric statistics. Nonparametric statistics can be used for descriptive statistics or statistical inference. Nonparametric tests are often used...
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space. This usage is particularly common in machine learning. In nonparametric statistics, a kernel is a weighting function used in non-parametric estimation...
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of Statistics, OUP. ISBN 978-0-19-954145-4 "Research Nonparametric Methods". Carnegie Mellon University. Retrieved August 30, 2022. "Nonparametric Tests"...
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Chi-squared test (redirect from Chi-square statistics)
test nomogram GEH statistic G-test Minimum chi-square estimation Nonparametric statistics Wald test Wilson score interval "Chi-Square - Sociology 3112 -...
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Parametric statistics is a branch of statistics which leverages models based on a fixed (finite) set of parameters. Conversely nonparametric statistics does...
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Kolmogorov–Smirnov test (category Nonparametric statistics)
In statistics, the Kolmogorov–Smirnov test (also K–S test or KS test) is a nonparametric test of the equality of continuous (or discontinuous, see Section...
31 KB (3,909 words) - 09:43, 9 May 2025
descriptive statistics, unlike inferential statistics, is not developed on the basis of probability theory, and are frequently nonparametric statistics. Even...
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Nonparametric regression is a form of regression analysis where the predictor does not take a predetermined form but is completely constructed using information...
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Kernel density estimation (category Nonparametric statistics)
Sperlich, Stefan; Werwatz, Axel (2004). Nonparametric and Semiparametric Models. Springer Series in Statistics. Berlin Heidelberg: Springer-Verlag. pp...
39 KB (4,618 words) - 21:17, 9 August 2025
Histogram (category Nonparametric statistics)
"Excel:Create a histogram". Terrell, G.R. and Scott, D.W., 1985. Oversmoothed nonparametric density estimates. Journal of the American Statistical Association,...
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method Nonparametric statistics Particle filter Pseudoreplication Non-uniform random variate generation Random permutation Replication (statistics) Surrogate...
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Spearman's rank correlation coefficient (category Nonparametric statistics)
{\displaystyle \rho } (rho) or as r s {\displaystyle r_{s}} . It is a nonparametric measure of rank correlation (statistical dependence between the rankings...
33 KB (4,320 words) - 00:47, 18 June 2025
Dependent Dirichlet process (category Nonparametric statistics)
Information Processing Systems (NIPS), 2013. S. N. MacEachern, "Dependent Nonparametric Processes", in Proceedings of the Bayesian Statistical Science Section...
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Wilcoxon signed-rank test (category Nonparametric statistics)
Mann–Whitney–Wilcoxon test Sign test Conover, W. J. (1999). Practical nonparametric statistics (3rd ed.). John Wiley & Sons, Inc. ISBN 0-471-16068-7., p. 350...
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In statistics, cumulative distribution function (CDF)-based nonparametric confidence intervals are a general class of confidence intervals around statistical...
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Cohen's kappa (redirect from Kappa statistics)
the traditional 2 × 2 confusion matrix employed in machine learning and statistics to evaluate binary classifications, the Cohen's Kappa formula can be written...
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In statistics and probability theory, the nonparametric skew is a statistic occasionally used with random variables that take real values. It is a measure...
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Permutation test (category Nonparametric statistics)
Meyer (1957). "Modified Randomization Tests for Nonparametric Hypotheses". Annals of Mathematical Statistics. 28 (1): 181–187. doi:10.1214/aoms/1177707045...
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U-statistic (redirect from U Statistics)
needed] In elementary statistics, U-statistics arise naturally in producing minimum-variance unbiased estimators. The theory of U-statistics allows a minimum-variance...
10 KB (1,553 words) - 11:19, 19 November 2024
K-nearest neighbors algorithm (category Nonparametric statistics)
S2CID 14059866. Stone, Charles J. (1977). "Consistent nonparametric regression". Annals of Statistics. 5 (4): 595–620. doi:10.1214/aos/1176343886. Samworth...
32 KB (4,333 words) - 23:48, 16 April 2025
Mann–Whitney U test (category Nonparametric statistics)
(MWW/MWU), Wilcoxon rank-sum test, or Wilcoxon–Mann–Whitney test) is a nonparametric statistical test of the null hypothesis that randomly selected values...
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In statistics, ranking is the data transformation in which numerical or ordinal values are replaced by their rank when the data are sorted. For example...
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Exploratory data analysis (redirect from Exploratory statistics)
to two other developments in statistical theory: robust statistics and nonparametric statistics, both of which tried to reduce the sensitivity of statistical...
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Order statistic (redirect from Order statistics)
In statistics, the kth order statistic of a statistical sample is equal to its kth-smallest value. Together with rank statistics, order statistics are...
28 KB (4,933 words) - 10:34, 6 February 2025
Scheirer–Ray–Hare test (category Nonparametric statistics)
2307/2529511 Scheirer–Ray–Hare test. In: Calvin Dytham: Choosing And Using Statistics: A Biologist's Guide. Wiley-Blackwell, 2003, ISBN 1405102438, S. 145–150...
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Cochran's Q test (category Nonparametric statistics)
3-4.256. JSTOR 2332378. Conover, William Jay (1999). Practical Nonparametric Statistics (Third ed.). Wiley, New York, NY USA. pp. 388–395. ISBN 9780471160687...
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Fisher's exact test (category Nonparametric statistics)
female on one hand and those who are and are not currently studying for a statistics exam on the other. For example, we hypothesize that the proportion of...
30 KB (4,127 words) - 03:47, 9 August 2025
Somers' D (category Nonparametric statistics)
1962. Somers’ D plays a central role in rank statistics and is the parameter behind many nonparametric methods. It is also used as a quality measure...
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Density estimation (category Nonparametric statistics)
Rosenblatt, M. (1956). "Remarks on Some Nonparametric Estimates of a Density Function". The Annals of Mathematical Statistics. 27 (3): 832–837. doi:10.1214/aoms/1177728190...
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Multivariate kernel density estimation (category Nonparametric statistics)
Kernel density estimation is a nonparametric technique for density estimation i.e., estimation of probability density functions, which is one of the fundamental...
32 KB (4,245 words) - 12:02, 17 June 2025