MAXIMUM SMOOTHED LIKELIHOOD DENSITY ESTIMATION IN TWO-SAMPLE MIXTURE DATA WITH LIKELIHOOD RATIO ORDERING
Ph.D
Saved in:
主要作者: | YU JIADONG |
---|---|
其他作者: | STATISTICS & APPLIED PROBABILITY |
格式: | Theses and Dissertations |
語言: | English |
出版: |
2017
|
主題: | |
在線閱讀: | http://scholarbank.nus.edu.sg/handle/10635/138155 |
標簽: |
添加標簽
沒有標簽, 成為第一個標記此記錄!
|
相似書籍
-
Maximum smoothed likelihood component density estimation in mixture models with known mixing proportions
由: Yu, T., et al.
出版: (2021) -
The asymptotic properties of the maximum-relevance weighted likelihood estimators
由: Hu, F.
出版: (2014) -
Penalized empirical likelihood inference for sparse additive hazards regression with a diverging number of covariates
由: Wang, Shanshan, et al.
出版: (2016) -
Detection of spatial clustering with average likelihood ratio test statistics
由: Chan, H.P.
出版: (2014) -
UNIFIED LIKELIHOOD-BASED INFERENCE WITH POSSIBLE BOUNDARY CONSTRAINTS
由: WANG JINYANG
出版: (2024)