A nonparametric test for detecting increasing variability
碩士 === 國立政治大學 === 統計研究所 === 99 === We consider the problem of detecting variability change in the two-sample case.Several classical variability tests are investigated, including the ANOVA based tests and the rank tests. Traditional two-sample rank tests assume that the location parameters for both s...
Main Authors: | Cheng, Ya Wen, 鄭雅文 |
---|---|
Other Authors: | Huang, Tzee Ming |
Format: | Others |
Language: | zh-TW |
Online Access: | http://ndltd.ncl.edu.tw/handle/12755284280124224885 |
Similar Items
-
Nonparametric tests to detect relationship between variables in the presence of heteroscedastic treatment effects
by: Tolos, Siti
Published: (2010) - Nonparametric Change Point Detection Methods for Profile Variability
-
Determining the Cause-Effect Relationship between Two Variables by Nonparametric Regression
by: Chia-Yu Cheng, et al.
Published: (2003) -
Nonparametric Tests for Independence of Recurrent Event Process and Terminal Event Time
by: Ya-Chung Jeng, et al.
Published: (2010) -
Nonparametric Instrumental Variables Estimation
by: Newey, Whitney K.
Published: (2013)