Friedman's test with missing observations

Preferred Robust Response Surface Design with Missing Observations Based on Integrated TOPSIS-AHP Method

- Missing observations occur in experimental designs as a result of insufficient sampling, machine breakdown, high cost, and errors in the measurements. In nanomanufacturing, missing observations often appear in designs because the combination of factors or molecular structures selected by a designer cannot be experimented successfully. In the current paper, Box-Behnken and face-centered compos...

I I A MULTIVARIATE EXTENSION OF FRIEDMAN'S X2-TEST r

I A MULTIVARIATE EXTENSION OF FRIEDMAN'S X2-TEST r

Durbin-watson Tests for Serial Correlation in Regressions with Missing Observations*

We study two Durbin-Watson type tests for serial correlation of errors in regression models when observations are missing. We derive them by applying standard methods used in time series and linear models to deal with missing observations. The first test may be viewed as a regular Durbin-Watson test in the context of an extended model. We discuss appropriate adjustments that allow one to use al...

Tests for Profile Analysis Based on Two-step Monotone Missing Data

In this paper, we consider profile analysis for the observations with twostep monotone missing data. There exist three interesting hypotheses – the parallelism hypothesis, level hypothesis, and flatness hypothesis – when comparing the profiles of some groups. The T -type statistics and their asymptotic null distributions for the three hypotheses are given for twosample profile analysis. We prop...