scholarly journals Effect of input states of polarization on the measurement error of Mueller matrix in a system having small polarization-dependent loss or gain

2009 ◽  
Vol 17 (15) ◽  
pp. 13017 ◽  
Author(s):  
H. Dong ◽  
Y. D. Gong ◽  
Varghese Paulose ◽  
P. Shum ◽  
Malini Olivo
Keyword(s):  
Measurement Error ◽  
Mueller Matrix ◽  
Polarization Dependent Loss

Measurement of Mueller matrix for an optical fiber system with birefringence and polarization-dependent loss or gain

2007 ◽  
Vol 274 (1) ◽  
pp. 116-123 ◽  
Author(s):  
H. Dong ◽  
P. Shum ◽  
M. Yan ◽  
J.Q. Zhou ◽  
G.X. Ning ◽  
...  
Keyword(s):  
Optical Fiber ◽  
Mueller Matrix ◽  
Fiber System ◽  
Polarization Dependent Loss

Measurement Error Analysis for Mueller Matrix Based on a Single Photo-Elastic Modulator

2013 ◽  
Vol 33 (6) ◽  
pp. 0612010
Author(s):  
曹绍谦 Cao Shaoqian ◽  
步扬 Bu Yang ◽  
王向朝 Wang Xiangzhao ◽  
李思坤 Li Sikun ◽  
汤飞龙 Tang Feilong ◽  
...  
Keyword(s):  
Measurement Error ◽  
Error Analysis ◽  
Mueller Matrix

scholarly journals Optimum input states of polarization for Mueller matrix measurement in a system having finite polarization-dependent loss or gain

2009 ◽  
Vol 17 (25) ◽  
pp. 23044 ◽  
Author(s):  
H. Dong ◽  
Y. D. Gong ◽  
Varghese Paulose ◽  
P. Shum ◽  
Malini Olivo
Keyword(s):  
Mueller Matrix ◽  
Polarization Dependent Loss ◽  
Optimum Input

Benefits from Computerized Adaptive Testing as Seen in Simulation Studies

1999 ◽  
Vol 15 (2) ◽  
pp. 91-98 ◽  
Author(s):  
Lutz F. Hornke
Keyword(s):  
Measurement Error ◽  
Computerized Adaptive Testing ◽  
Test Procedure ◽  
Adaptive Testing ◽  
Parameter Estimates ◽  
Simulation Studies ◽  
Computerized Adaptive Test ◽  
Item Banks ◽  
Item Parameters ◽  
General Reliability

Summary: Item parameters for several hundreds of items were estimated based on empirical data from several thousands of subjects. The logistic one-parameter (1PL) and two-parameter (2PL) model estimates were evaluated. However, model fit showed that only a subset of items complied sufficiently, so that the remaining ones were assembled in well-fitting item banks. In several simulation studies 5000 simulated responses were generated in accordance with a computerized adaptive test procedure along with person parameters. A general reliability of .80 or a standard error of measurement of .44 was used as a stopping rule to end CAT testing. We also recorded how often each item was used by all simulees. Person-parameter estimates based on CAT correlated higher than .90 with true values simulated. For all 1PL fitting item banks most simulees used more than 20 items but less than 30 items to reach the pre-set level of measurement error. However, testing based on item banks that complied to the 2PL revealed that, on average, only 10 items were sufficient to end testing at the same measurement error level. Both clearly demonstrate the precision and economy of computerized adaptive testing. Empirical evaluations from everyday uses will show whether these trends will hold up in practice. If so, CAT will become possible and reasonable with some 150 well-calibrated 2PL items.

Sign in / Sign up

Export Citation Format

Share Document