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On the nature of saturated 2k- factorial designs for unbiased estimation of non-negligible parameters
Journal of Statistical Planning and Inference ( IF 0.9 ) Pub Date : 2021-03-01 , DOI: 10.1016/j.jspi.2020.05.006
Kouakou Francois Domagni , A.S. Hedayat , Bikas Kumar Sinha

Abstract We contemplate an experimental situation in a 2 k -factorial experiment with acute resource crunch so that we need to conduct just a saturated design [SD] - with the understanding that precision of the estimates cannot be estimated from the data. It is known beforehand which effect(s)/interaction(s) are likely to be negligible. We examine the flexibility to the extent that an experimenter can make a choice of an SD in order to retain information on all the remaining [non-negligible] effects/interactions.

中文翻译:

用于非可忽略参数无偏估计的饱和 2k 因子设计的性质

摘要 我们考虑了一个 2 k 因子实验中的实验情况,该实验具有严重的资源紧缩情况,因此我们只需要进行饱和设计 [SD] - 理解无法从数据中估计估计的精度。事先知道哪些影响/相互作用可能可以忽略不计。我们检查了实验者可以选择 SD 以保留所有剩余 [不可忽略] 效果/相互作用的信息的灵活性。
更新日期:2021-03-01
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