User:Mathstat
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Good article reassessment
Wikipedia:Good article reassessment (GAR) is a process primarily used to determine whether an article that is listed as good article (GA) still merits its good article status according to the good article criteria, and to delist it if not. There are two types of reassessment: individual reassessment and community reassessment. Where possible, editors should conduct an individual reassessment, while community reassessment should be used if delisting is likely to be controversial. To add this auto-randomizing template to your user page, use {{totd-random }}
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About me
[edit ]Some topics of interest:
- computational statistics, statistical computing, simulation
- goodness-of-fit tests (in general, especially multivariate)
- distribution theory, V-statistics
- probability, applied probability, stochastic processes
- stable distributions, heavy-tail distributions
- multivariate analysis, nonparametric multivariate inference
- multivariate normality, goodness-of-fit for multivariate normality
- multivariate independence, distance correlation
- applied statistics, general linear models
- actuarial science
- cluster analysis, pattern recognition, classification
- nonparametric regression and smoothing
- R (programming language)
Reference:
- LaTeX Index
- LaTeX Tables
- Conversion of units
- Formulas
- UP
- WikiProject Mathematics
- WikiProject Statistics
- Citation templates
- MOS:MATH
Moved:
- /CSDA to Computational Statistics & Data Analysis
- /School lands
- /Ward's method
- /JMVA to Journal of Multivariate Analysis
Editing:
- /Skew elliptical distribution
- /Annuities section
- /Pareto generalizations (Much of this has been inserted into Pareto distribution.)
- /Miscellaneous
- /MVMedian
- /Partial distance correlation
- /Suggestions