Analysis of Variance of Split-plot Design with Missing Values

Wavelet Analysis of Variance for Time Series with Missing Values

The wavelet variance is a scale-based decomposition of the process variance for a time series and has been used to analyze, for example, time deviations in atomic clocks, variations in soil properties in agricultural plots, accumulation of snow fields in the polar regions and marine atmospheric boundary layer turbulence. We propose two new unbiased estimators of the wavelet variance when the ob...

Optimal Design of Blocked and Split-Plot Experiments for Fixed Effects and Variance Component Estimation

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Type I Error Rates of the Kenward-Roger Adjusted Degree of Freedom F-test for a Split-Plot Design with Missing Values

Type I Error Rates of the Kenward-Roger F-test for a Split-Plot Design with Missing Values and Non- Normal Data

The Optimal Design of Blocked and Split-Plot Experiments

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