Improved Large-Sample Confidence Intervals for Ratios of Variance Components in Nonnormal Distributions

2014 ◽  
Vol 44 (2) ◽  
pp. 349-362
Author(s):  
Brent D. Burch
Keyword(s):  
Confidence Intervals ◽  
Variance Components ◽  
Large Sample ◽  
Nonnormal Distributions

Confidence intervals on linear combinations of variance components that are unrestricted in sign

1990 ◽  
Vol 35 (3-4) ◽  
pp. 135-143 ◽  
Author(s):  
Naitee Ting ◽  
Richard K. Burdick ◽  
Franklin A. Graybill ◽  
S. Jeyaratnam ◽  
Tai-Fang C. Lu
Keyword(s):  
Confidence Intervals ◽  
Variance Components ◽  
Linear Combinations

Confidence intervals for variance components in gauge capability studies

2018 ◽  
Author(s):  
Dário Ferreira ◽  
Sandra S. Ferreira ◽  
Célia Nunes ◽  
Teresa A. Oliveira ◽  
João T. Mexia
Keyword(s):  
Confidence Intervals ◽  
Variance Components

scholarly journals Brief communication "Improving the actual coverage of subsampling confidence intervals in atmospheric time series analysis"

2012 ◽  
Vol 19 (5) ◽  
pp. 473-477
Author(s):  
A. Gluhovsky ◽  
T. Nielsen
Keyword(s):  
Time Series ◽  
Time Series Analysis ◽  
Confidence Intervals ◽  
Coverage Probability ◽  
Resampling Methods ◽  
Large Sample ◽  
Series Analysis

Abstract. In atmospheric time series analysis, where only one record is typically available, subsampling (which works under the weakest assumptions among resampling methods), is especially useful. In particular, it yields large-sample confidence intervals of asymptotically correct coverage probability. Atmospheric records, however, are often not long enough, causing a substandard coverage of subsampling confidence intervals. In the paper, the subsampling methodology is extended to become more applicable in such practically important cases.

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