Parametric bootstrap tests for continuous and discrete distributions

Metrika ◽  
2007 ◽  
Vol 67 (1) ◽  
pp. 63-81 ◽  
Author(s):  
Gábor Szűcs
Keyword(s):  
Parametric Bootstrap ◽  
Discrete Distributions ◽  
Bootstrap Tests

Parametric Bootstrap Tests for Unbalanced Three-factor Nested Designs under Heteroscedasticity

2014 ◽  
Vol 45 (1) ◽  
pp. 322-338 ◽  
Author(s):  
Liwen Xu ◽  
Kaiyi Qu ◽  
Mixia Wu ◽  
Bo Mei ◽  
Ranran Chen
Keyword(s):  
Parametric Bootstrap ◽  
Bootstrap Tests ◽  
Nested Designs ◽  
Three Factor

scholarly journals Permutation and Parametric Bootstrap Tests for Gene-Gene and Gene-Environment Interactions

2010 ◽  
Vol 75 (1) ◽  
pp. 36-45 ◽  
Author(s):  
Petra Bůžková ◽  
Thomas Lumley ◽  
Kenneth Rice
Keyword(s):  
Parametric Bootstrap ◽  
Gene Environment ◽  
Bootstrap Tests

Parametric bootstrap tests for unbalanced nested designs under heteroscedasticity

2013 ◽  
Vol 84 (9) ◽  
pp. 2059-2070 ◽  
Author(s):  
Li-Wen Xu ◽  
Bo Mei ◽  
Ran-Ran Chen ◽  
Hong-Xia Guo ◽  
Jia-jie Wang
Keyword(s):  
Parametric Bootstrap ◽  
Bootstrap Tests ◽  
Nested Designs

scholarly journals Assessing the Performance of a Noninvasive Glucose Monitor in People with Type 2 Diabetes with Different Demographic Profiles

2017 ◽  
Vol 2017 ◽  
pp. 1-8 ◽  
Author(s):  
Karnit Bahartan ◽  
Keren Horman ◽  
Avner Gal ◽  
Andrew Drexler ◽  
Yulia Mayzel ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Body Mass ◽  
Glucose Monitoring ◽  
Parametric Bootstrap ◽  
Relative Difference ◽  
Diabetes Research ◽  
Demographic Profiles ◽  
Bootstrap Tests ◽  
Clarke Error Grid

Background. Noninvasive glucose-monitoring devices represent an exciting frontier in diabetes research. GlucoTrack® is a noninvasive device that indirectly measures glucose fluctuation in the earlobe tissue. However, GlucoTrack measurements may be susceptible to effects of quasi-stable factors that may be affected by demographic profiles. The current study, thus, examined device performances in people with type 2 diabetes with different demographic profiles, focusing on age, gender, body mass, and whether the earlobe is pierced. Materials and Methods. Clinical trials were conducted on 172 type 2 adult diabetic subjects. Device performance was clinically evaluated using the Clarke error grid (CEG) analysis and statistically assessed using absolute relative difference (ARD). Results. CEG analysis revealed that 97.6% of glucose readings were within the clinically acceptable CEG A + B zones. Mean and median ARD were 22.3% and 18.8%, respectively. Likelihood ratio and parametric bootstrap tests revealed that there were no significant differences in ARD values across age, gender, body mass, and whether the earlobe was pierced, indicating that the accuracy of GlucoTrack remains consistent across the tested demographic profiles. Conclusions. Our results suggest that GlucoTrack performance does not depend on demographic profiles of its users and it is thus suitable for various people with type 2 diabetes.

scholarly journals Distance-based parametric bootstrap tests for clustering of species ranges

2004 ◽  
Vol 45 (4) ◽  
pp. 875-895 ◽  
Author(s):  
Christian Hennig ◽  
Bernhard Hausdorf
Keyword(s):  
Parametric Bootstrap ◽  
Species Ranges ◽  
Bootstrap Tests

A note on the Berkowitz test with discrete distributions

2009 ◽  
Vol 3 (2) ◽  
pp. 3-10 ◽  
Author(s):  
Alfred Hamerle ◽  
Kilian Plank
Keyword(s):  
Discrete Distributions
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