LAD Estimators for Categorical Data Analysis |
최현집 (경기대학교 경제학부 응용정보통계전공) |
1 |
Identification of the sources of significance in two-way contingency tables
/
DOI ScienceOn |
2 |
Identifying extreme cells in a sizable contingency table: probabilistic and exploratory approaches
/
|
3 |
A note on curve fitting with minimum deviations by linera programming
/
DOI ScienceOn |
4 |
Perfect cells, direct models and contingency table outiers
/
DOI ScienceOn |
5 |
Elemental subsets: the building blocks of regression
/
|
6 |
The identification of outliers in two-way contingency tables using subtables
/
DOI ScienceOn |
7 |
The breakdown value of the L1 estimator in contingency tables
/
DOI ScienceOn |
8 |
Detecting outlying cells in two-way contingency tables via backwarks stepping
/
DOI ScienceOn |
9 |
/
|
10 |
A robust approach to categorical data analysis
/
DOI ScienceOn |
11 |
Computational experiences with discrete Lp- Approximation
/
DOI ScienceOn |
12 |
Least median of squares regression
/
DOI ScienceOn |
13 |
/
|
14 |
A test for detecting outlying cells in the multinomial distribution and two-way contingency tables
/
DOI ScienceOn |
15 |
Asymptotics for L1-estimators of regression parameters under heteroscedasticity
/
DOI ScienceOn |
16 |
Analysis of categorical data by linear models
/
DOI ScienceOn |
17 |
/
|
18 |
Preliminary graphical analysis and quasi-independence for two-way contingency tables
/
DOI ScienceOn |
19 |
An iterative technique for absolute deviations curve fitting
/
DOI ScienceOn |
20 |
Unmasking outliers in two-way contingency tables
/
DOI ScienceOn |