Confidence intervals and tests of hypotheses on variance components in an unbalanced two–factor crossed design with interaction

1993 ◽  
Vol 47 (1-2) ◽  
pp. 67-77 ◽  
Author(s):  
Ramon P. Hernandez ◽  
Richard K. Burdick
Keyword(s):  
Confidence Intervals ◽  
Variance Components ◽  
Tests Of Hypotheses

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

A Robust Model for Estimating and Testing for Means in Single Subject Experiments

1978 ◽  
Vol 20 (6) ◽  
pp. 717-724 ◽  
Author(s):  
James J. Higgins
Keyword(s):  
Sample Size ◽  
Confidence Intervals ◽  
Autoregressive Model ◽  
Error Term ◽  
Behavioral Research ◽  
Single Subject ◽  
First Order ◽  
Normal Approximations ◽  
Robust Model ◽  
Tests Of Hypotheses

The first order autoregressive model is proposed as a robust model for estimating and testing for means in single subject experiments. It has the advantage of mathematical simplicity, and it provides good approximations to a number of other models of the type typically encountered in behavioral research. Practical considerations on the use of the model are considered including: tests of hypotheses and confidence intervals, sample size requirements, normal approximations, and advantages of the model over the independent error term model. Inferences for means and differences of means are considered.

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