Density estimation in the two-sample problem with likelihood ratio ordering

Biometrika ◽  
2017 ◽  
Vol 104 (1) ◽  
pp. 141-152 ◽  
Author(s):  
Tao Yu ◽  
Pengfei Li ◽  
Jing Qin
Keyword(s):  
Density Estimation ◽  
Likelihood Ratio ◽  
Sample Problem ◽  
Two Sample Problem ◽  
Likelihood Ratio Ordering

Inference for Likelihood Ratio Ordering in the Two-Sample Problem

1995 ◽  
Vol 90 (431) ◽  
pp. 1034-1040 ◽  
Author(s):  
Richard Dykstra ◽  
Subhash Kochar ◽  
Tim Robertson
Keyword(s):  
Likelihood Ratio ◽  
Sample Problem ◽  
Two Sample Problem ◽  
Likelihood Ratio Ordering

Nonparametric tests for and against likelihood ratio ordering in the two-sample problem

Biometrika ◽  
2005 ◽  
Vol 92 (1) ◽  
pp. 159-171 ◽  
Author(s):  
Christopher A. Carolan ◽  
Joshua M. Tebbs
Keyword(s):  
Likelihood Ratio ◽  
Nonparametric Tests ◽  
Sample Problem ◽  
Two Sample Problem ◽  
Likelihood Ratio Ordering

Statistics of response slopes

1983 ◽  
Vol 54 (1) ◽  
pp. 309-313 ◽  
Author(s):  
K. V. Mardia ◽  
S. Bogle ◽  
R. Edwards
Keyword(s):  
Confidence Interval ◽  
Likelihood Ratio ◽  
Likelihood Ratio Test ◽  
Minimum Variance ◽  
Ratio Test ◽  
Directional Statistics ◽  
Sample Problem ◽  
Interval Estimates ◽  
Efficient Estimator ◽  
Two Sample Problem

Daubenspeck and Ogden in a recent paper recommended the use of directional statistics in the analysis of response slopes, and their advice has been followed by other workers. Their method is not valid, since it does not follow directly from their model. An efficient estimator of the slope (i.e., an estimator with minimum variance) is well known and is given here with a confidence interval for the true slope. They were also concerned with the two-sample problem to compare the slopes from two different samples. The method for this is more complicated but is summarized here. The likelihood ratio test and point and interval estimates are given. We discuss Daubenspeck and Ogden's example and the reason why, despite its invalidity, their method gave good results using their own data. Their data are also used to illustrate the methods described in this paper, and examples are given to highlight the practical differences between the two methods. Step-by-step procedures are included in the appendixes to enable readers to use these methods.

The Two-Sample Problem with Induced Dependent Censorship

Biometrics ◽  
1999 ◽  
Vol 55 (4) ◽  
pp. 1108-1113 ◽  
Author(s):  
Yijian Huang
Keyword(s):  
Sample Problem ◽  
Two Sample Problem

scholarly journals Efficient and adaptive nonparametric test for the two-sample problem

2003 ◽  
Vol 31 (6) ◽  
pp. 2036-2058 ◽  
Author(s):  
Teresa Ledwina ◽  
Gilles R. Ducharme
Keyword(s):  
Nonparametric Test ◽  
Sample Problem ◽  
Two Sample Problem

Complete asymptotic expansions for the two-sample problem

1979 ◽  
Vol 12 (2) ◽  
pp. 141-177 ◽  
Author(s):  
Yu. V. Borovskikh
Keyword(s):  
Asymptotic Expansions ◽  
Sample Problem ◽  
Two Sample Problem
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