Category:Nonparametric statistics
Here is a list of articles in the Nonparametric statistics category of the Computing portal that unifies foundations of mathematics and computations using computers.
| Nonparametric statistics is included in the JEL classification codes as JEL: C11 |
Nonparametric statistics is a branch of statistics concerned with non-parametric statistical models and non-parametric statistical tests. Non-parametric statistics are statistics that do not estimate population parameters. In contrast, see parametric statistics.
Nonparametric models differ from parametric models in that the model structure is not specified a priori but is instead determined from data. The term nonparametric is not meant to imply that such models completely lack parameters but that the number and nature of the parameters are flexible and not fixed in advance. Nonparametric models are therefore also called distribution free.
Nonparametric (or distribution-free) inferential statistical methods are mathematical procedures for statistical hypothesis testing which, unlike parametric statistics, make no assumptions about the frequency distributions of the variables being assessed.
Subcategories
This category has the following 4 subcategories, out of 4 total.
B
R
S
U
Pages in category "Nonparametric statistics"
The following 68 pages are in this category, out of 68 total.
- Nonparametric statistics (computing)
A
- Anderson–Darling test (computing)
- ANOVA on ranks (computing)
B
- Dependent Dirichlet process (computing)
- Indian buffet process (computing)
- Boschloo's test (computing)
C
- CDF-based nonparametric confidence interval (computing)
- Chi-squared test (computing)
- Cochran's Q test (computing)
- Cohen's kappa (computing)
- Concordant pair (computing)
- Cramér–von Mises criterion (computing)
- Cucconi test (computing)
D
- Density estimation (computing)
- Durbin test (computing)
E
- Empirical distribution function (computing)
- Empirical process (computing)
F
- Fisher's exact test (computing)
- Friedman test (computing)
- Functional principal component analysis (computing)
G
- Geometric median (computing)
H
- Histogram (computing)
- Hodges–Lehmann estimator (computing)
- Hoeffding's independence test (computing)
K
- K-nearest neighbors algorithm (computing)
- Kendall rank correlation coefficient (computing)
- Kendall's W (computing)
- Kernel (statistics) (computing)
- Kernel density estimation (computing)
- Kernel smoother (computing)
- Kolmogorov–Smirnov test (computing)
- Kruskal–Wallis one-way analysis of variance (computing)
- Kuiper's test (computing)
L
- L-estimator (computing)
- Lepage test (computing)
M
- Mann–Whitney U test (computing)
- Mantel test (computing)
- McNemar's test (computing)
- Mean integrated squared error (computing)
- Medcouple (computing)
- Median test (computing)
- Multinomial test (computing)
- Multivariate kernel density estimation (computing)
N
- Nemenyi test (computing)
- Normal score (computing)
O
- Order of a kernel (computing)
- Order statistic (computing)
R
- Rank correlation (computing)
- Rank product (computing)
- Ranking (computing)
- Ranklet (computing)
- Record value (computing)
- Resampling (statistics) (computing)
S
- Scheirer–Ray–Hare test (computing)
- Semiparametric regression (computing)
- Siegel–Tukey test (computing)
- Sign test (computing)
- Somers' D (computing)
- Spearman's rank correlation coefficient (computing)
T
- Transfer entropy (computing)
- Tukey–Duckworth test (computing)
U
- U-statistic (computing)
V
- Van der Waerden test (computing)
- Variable kernel density estimation (computing)
- Variance function (computing)
- Variational series (computing)
W
- Wald–Wolfowitz runs test (computing)
- Wilcoxon signed-rank test (computing)
Mathematics
Organizations
Books
About