Trend Robust Two-Level Factorial Designs
研究了在时间效应存在时，如何设计两水平因子实验的运行顺序以抵抗趋势影响，提出了一种构造多水平变化运行顺序的简单算法。
Limiting the possible influence of time order effects may be an important consideration in designing a sequential experiment. We consider the problem of finding trend robust run orders of two-level factorials when the time effects are modelled via a first order autoregressive error model or via a time series model. In both cases, run orders are trend robust if the factors change level many times. Other run orders can be quite inefficient, even if they are free of low-degree polynomial trends. We present a simple algorithm for constructing run orders of two-level factorial designs with many level changes.