Design and Analysis of Gauge R&R Studies: Making Decisions with Confidence Intervals in Random and Mixed ANOVA Models

8.2: General Strategies

8.2 General Strategies

Consider a balanced random model with Q sources of variation represented by the ANOVA shown in Table 8.1. Assuming all random errors are independent and normally distributed, the are jointly independent and each has a chi-squared distribution with n q degrees of freedom for q = 1 , , Q (see, e.g., Hocking [31, p. 460]). These results are used to construct confidence intervals for all four parameters shown in Table 8.2, where c q, d r, and e t ? 0. Note that ? 3 and ? 4 differ in two respects. First, ? 3 has nonnegative linear combinations in both the numerator and the denominator, whereas ? 4 allows negative linear combinations in the numerator. Second, the same expected mean square cannot appear in both the numerator and the denominator of ? 3, but it can in ? 4. Although ? 3 is a special case of ? 4, it is useful to consider the two cases separately. Note that neither ? 3 nor ? 4 allows negative coefficients in the denominator.

Table 8.1: General ANOVA for balanced random model.

Source of variation

Degrees of freedom

Mean square

Expected mean square

Factor 1

n 1

? 1

Factor 2

n 2

? 2

Replicates

n Q

? Q

Table 8.2: Parameter functions of ?

UNLIMITED FREE
ACCESS
TO THE WORLD'S BEST IDEAS

SUBMIT
Already a GlobalSpec user? Log in.

This is embarrasing...

An error occurred while processing the form. Please try again in a few minutes.

Customize Your GlobalSpec Experience

Category: IC Electronic Filters
Finish!
Privacy Policy

This is embarrasing...

An error occurred while processing the form. Please try again in a few minutes.