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User:EverGreg

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This user is a participant in
WikiProject Agriculture.

This user is a participant in WikiProject Veterinary medicine.

This user is a participant in WikiProject Statistics.

This user is a member of WikiProject Systems.

To do: Training set and Overfitting needs fixing

Non-exhaustive lists:

It can be shown from the list of numbers and Category:Integers that the smallest uninteresting number is 224. According to the article it is "the smallest number without its own wikipedia article". The number 225 is even more uninteresting, being as of today only a redirect to 220.

Wikipedia:Reference desk/Science

Worth trying out: [[1]]

A surprising reason not to fix redirects

on reliable sources

Category:Wikipedia resources for researchers

Statistics on page views: [2]

Great for moving images from en.wiki to commons: [3]

Deep_sea_mining

Mayflower: [4]

Some resources for offshore photos: [5][6][7][8]

To-do list for Wikipedia:WikiProject Statistics: edit · history · watch · refresh · Updated 2023-04-16

Here are some tasks awaiting attention:

Article requests : See requested articles in statistics, and in econometrics
Cleanup : Articles in WikiProject Statistics are regularly scanned automatically for cleanup templates. A list of statistics articles that need cleanup is here. You can help by reviewing the list and correcting any deficiencies.
Expand :
- Outline of statistics
- Outline of regression analysis
- Multivariate regression model needs detailed formulae for multivariate case
- Directional statistics to include measures of dispersion for circular data
- Conjoint analysis improve statement problem to be solved (more maths?)
- Overfitting could tie in test sets, the effects of high model complexity and curse of dimensionality as well as how adding noise sometimes alleviates the problem.
- Ancestral graph
- Spatial descriptive statistics which has essentially no content
- Likelihood function to remove bias towards Bayesian-only context
- mixed model spun out of redirect to multilevel model, but needs expansion
- Labour Force Survey needs expanding, including to improve geographic coverage
- Various Tsallis Pages, documented on Talk:Tsallis distribution#Tsallis Pages
- Joint probability distribution needs some examples, better examples, perhaps an explanation of uses and relationships with other concepts in statistics
- Bayesian linear regression alternative priors, advanced regression models, marginal densities, prior and posterior predictive density
- Monte Carlo sampling: Application to Approximate Bayesian Inference needs more explanation
- Approximate Bayesian Computation
- Cohen's h
- Double descent
Merge :
- Financial modeling and Modeling and analysis of financial markets
- Monte Carlo methods in finance and Monte Carlo methods for option pricing
- Variogram (which is redirected from semivariogram) and Semivariance
- Linear predictor function into Linear model
Split :
- Parameter into separate articles accessible from disambig pages
- Effect size into separate articles for each metric
Stubs :
Verify :
- Sampling distribution case of sampling from a finite population?
Other :
- Attend to
  - Category:Statistics articles needing expert attention (25 articles)
  - Category:Probability articles needing expert attention (1 articles)
- Redirects to convert to articles, or otherwise:
  - Influence function (statistics) — currently redirects to Robust statistic
  - hazard function
  - Time-series regression presently redirects to Time-series
  - Ridge regression presently redirects to Tikhonov regularization
  - Regression splines presently redirects to Smoothing splines
  - Fisher's protected LSD presently redirects to Post hoc analysis
  - Hill estimator presently redirects to Heavy-tailed distribution
  - Weibull chart presently redirects to Weibull distribution
- Groups of articles with substantial overlap:
  - Truncation (statistics) and Truncated distribution
  - Multiple testing correction and Multiple comparisons : need to separate multiple testing from “finding the best”
  - Efficiency (statistics) and efficient estimator
  - Variance and standard deviation

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