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26: Resampling methods (bootstrapping)
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Classroom Contents
Earth - Stats and Data Analysis
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- 1 1: Central tendency (mean and median)
- 2 2: Data dispersion
- 3 3: Standard error/confidence intervals
- 4 Statistical testing procedures and the p value
- 5 6: The t test
- 6 7: the F test
- 7 8: ANOVA
- 8 Shapiro-Wilk test
- 9 10: Kolmogorov-Smirnov test
- 10 11: Mann-Whitney U test
- 11 12: Kruskal-Wallis test
- 12 13: Levene's Test
- 13 14: Categorical data (intro and test choice)
- 14 15: Exact binomial test/exact multinomial test
- 15 16: Fisher's exact test
- 16 17: Chi-squared test
- 17 18: Pearson product-moment correlation
- 18 19: Non-parametric correlation
- 19 Linear regression
- 20 21: ANCOVA
- 21 22: Logistic regression
- 22 23: Mahalanobis distance
- 23 24: Hotelling T2 test
- 24 25: MANOVA
- 25 Linear mixed effects models
- 26 26: Resampling methods (bootstrapping)
- 27 27: Resampling (two-sample tests)
- 28 28: Principal Component Analysis
- 29 29: Non-Metric Multidimensional Scaling (NMDS)
- 30 30: Maximum likelihood estimation
- 31 Multiple regression
- 32 Partial and semipartial correlation
- 33 Generalized least squares regression
- 34 Factorial ANOVA
- 35 Nested ANOVA
- 36 Time series and first differences
- 37 Statistical power
- 38 Regression with Count Data: Poisson and Negative Binomial
