Search Results
| Search type | Search syntax |
|---|---|
| Tags | [tag] |
| Exact | "words here" |
| Author |
user:1234 user:me (yours) |
| Score |
score:3 (3+) score:0 (none) |
| Answers |
answers:3 (3+) answers:0 (none) isaccepted:yes hasaccepted:no inquestion:1234 |
| Views | views:250 |
| Code | code:"if (foo != bar)" |
| Sections |
title:apples body:"apples oranges" |
| URL | url:"*.example.com" |
| Saves | in:saves |
| Status |
closed:yes duplicate:no migrated:no wiki:no |
| Types |
is:question is:answer |
| Exclude |
-[tag] -apples |
| For more details on advanced search visit our help page | |
Results tagged with hypothesis-testing
Search options not deleted
user 10845
Hypothesis testing assesses whether data are inconsistent with a given hypothesis (usually a null hypothesis of no effect).
3
votes
1
answer
9k
views
Hypothesis testing for parameter of uniform distribution
I'm solving the following exercise from Larry Wasserman's book "All of Statistics".
Let $X_1, \dots, X_n\sim \text{Unif}(0,\theta)$ and let $Y = \max{X_1,\dots,X_n}$. We want to test $H_0: \theta …
- 365
1
vote
0
answers
96
views
bootstrapping for a parameter estimation
At the moment I'm studying bootstrap and I want to do some examples to get a feeling for it. Suppose I generate the following data:
set.seed(10)
data <- rnorm(1000,1,3)
number <- min(data[data <= 0.9 …
- 365
12
votes
2
answers
2k
views
Two definitions of p-value: how to prove their equivalence?
I'm reading through Larry Wasserman's book, All of Statistics, and currently about p-values (page 187). Let me first introduce some definitions (I quote):
Definition 1 The power function of a test wi …
- 365