gung

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In the golden age of ancient Chinese philosophy, Gung-sun Lung Tsu was the one of the only thinkers, and certainly the most important, to discuss topics pertaining to logic and epistemology.


390 Answers

newest activity votes
69
Difference between logit and probit models
50
Algorithms for automatic model selection
47
R vs SAS, why is SAS prefered by private companies?
32
What is the difference between doing linear regression on y with x versus x with y?
23
Explaining to laypeople why bootstrapping works
20
What if residuals are normally distributed, but y is not?
18
When should you center your data & when should you standardize?
16
How to choose between ANOVA and ANCOVA in a designed experiment?
15
Interpretation of simple predictions to odds ratios in logistic regression
15
Why don't we use significant digits?
15
Difference between generalized linear models & generalized linear mixed models in SPSS
15
What problem do shrinkage methods solve?
14
How are regression, the t-test, and the ANOVA all versions of the general linear model?
14
How do I compare bootstrapped regression slopes?
13
What is the difference between data mining, statistics, machine learning and AI?
12
Chi-Squared always a one-sided test?
12
Significance of coefficients in linear regression: significant t-test vs non-significant F-statistic
12
How to interpret coefficient standard errors in linear regression?
11
Is Amazon's “average rating” misleading?
11
What are the advantages / disadvantages of using splines, smoothed splines, and gaussian process emulators?
11
Self study vs a taught education?
11
First quick glance at a dataset
11
Basic Simpson's paradox
11
How to interpret type I (sequential) ANOVA and MANOVA?
10
Is there a minimum sample size required for the t-test to be valid?
10
Graphing a Probability Curve for a Logit Model With Multiple Predictors
10
How to interpret a post hoc Tukey's test?
10
Contingency tables: what tests to do and when?
10
Does it make sense to add a quadratic term but not the linear term to a model?
10
Having a job in data-mining without a PhD
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