Multiple Hypothesis Testing and Kernel Density Estimators
Hi, I'm just currently quite confused on a few things. Firstly, with multiple hypothesis testing, how exactly the test is to be done (with the pair-wise t-tests vs. Bonferroni adjustment vs. Tukey)?
Also, we learned about kernel density estimators, concerning parametric and nonparamentric forms, and I'm just really confused about what they actually mean and what they're application is.
If anyone could help me clarify, it would be greatly appreciated. Thanks a lot!!!