Construction of Simultaneous Confidence Intervals for Ratios of Means of Lognormal Distributions

被引:9
作者
Abdel-Karim, Amany Hassan [1 ]
机构
[1] Tanta Univ, Fac Commerce, Tanta, Egypt
关键词
Coverage probability; Monte Carlo simulation; Simultaneous fiducial generalized confidence intervals; Two-step method of variance estimates recovery;
D O I
10.1080/03610918.2013.767911
中图分类号
O21 [概率论与数理统计]; C8 [统计学];
学科分类号
020208 ; 070103 ; 0714 ;
摘要
For constructing simultaneous confidence intervals for ratios of means for lognormal distributions, two approaches using a two-step method of variance estimates recovery are proposed. The first approach proposes fiducial generalized confidence intervals (FGCIs) in the first step followed by the method of variance estimates recovery (MOVER) in the second step (FGCIs-MOVER). The second approach uses MOVER in the first and second steps (MOVER-MOVER). Performance of proposed approaches is compared with simultaneous fiducial generalized confidence intervals (SFGCIs). Monte Carlo simulation is used to evaluate the performance of these approaches in terms of coverage probability, average interval width, and time consumption.
引用
收藏
页码:271 / 283
页数:13
相关论文
共 19 条
[1]  
Abdel-Karim A., 2005, THESIS COLORADO STAT
[2]  
Abdel-Karim AH, 2012, ADV APPL STAT, V26, P41
[3]   Parametric modelling of cost data: some simulation evidence [J].
Briggs, A ;
Nixon, R ;
Dixon, S ;
Thompson, S .
HEALTH ECONOMICS, 2005, 14 (04) :421-428
[4]  
Dilba G, 2004, METHOD INFORM MED, V43, P465
[5]   Estimating Simultaneous Confidence Intervals for Multiple Contrasts of Proportions by the Method of Variance Estimates Recovery [J].
Donner, Allan ;
Zou, Guang Yong .
STATISTICS IN BIOPHARMACEUTICAL RESEARCH, 2011, 3 (02) :320-335
[6]  
Fisher RA, 1930, P CAMB PHILOS SOC, V26, P528
[7]  
Fishers R. A., 1935, ANN EUGEN, VVI, P91
[8]  
Hannig J, 2006, AUST J STAT, V35, P261
[9]  
Hannig J, 2009, STAT SINICA, V19, P491
[10]   Multiple testing to establish noninferiority of k treatments with a reference based on the ratio of two means [J].
Hauschke, D ;
Kieser, M .
DRUG INFORMATION JOURNAL, 2001, 35 (04) :1247-1251