Тёмный

Inference for a Variance: How Robust are These Procedures? 

jbstatistics
Подписаться 210 тыс.
Просмотров 7 тыс.
50% 1

A discussion of the effect of violations of the normality assumption on confidence intervals for a variance. The effects of different violations of the normality assumption are investigated through simulation. The quick summary: These procedures are very sensitive to violations of the normality assumption, and often perform very poorly when the normality assumption is violated.

Опубликовано:

 

23 окт 2024

Поделиться:

Ссылка:

Скачать:

Готовим ссылку...

Добавить в:

Мой плейлист
Посмотреть позже
Комментарии : 3   
@Felicidade101
@Felicidade101 6 лет назад
so cool. you're the best
@Felicidade101
@Felicidade101 6 лет назад
could you point me to alternative methods to calc these confidence intervals? Bayesian HDP (highest density prob)?
@OriginalJoseyWales
@OriginalJoseyWales Год назад
bootstrap
Далее
An Introduction to Boxplots
12:29
Просмотров 9 тыс.
p-values: What they are and how to interpret them
11:21
Week 13, robust variance estimation
8:58
Просмотров 2,2 тыс.
Student's t-test
10:11
Просмотров 1,8 млн
What is the Chi-Squared distribution? Extensive video!
18:23
Introduction to the Central Limit Theorem
13:14
Просмотров 577 тыс.
The better way to do statistics
17:25
Просмотров 246 тыс.