ABSTRACT In this work, the seven-factor central composite design () is studied in respect of a pair of missing values using the minimax loss criterion. It was observed empirically that seven-factor central composite design with k = 7 , = 128 f n , = 14 a n , = 3 c n and n = 145 is robust at a = 2.6 and variance robust at a = 2.45. We also observed that the loss effect of missing a pair of factorial points is a decreasing function of increasing a , while the loss effect of a pair of axial points is a decreasing and increasing function of increasing a . The loss effect of missing a factorial and axial points has no specific direction of increase or decrease on increasing a values.
ANI, E (2022). Seven-Factor Central Composite Design Robust to a Pair of Missing Observations. Afribary. Retrieved from https://track.afribary.com/works/seven-factor-central-composite-design-robust-to-a-pair-of-missing-observations
ANI, EMMANUEL "Seven-Factor Central Composite Design Robust to a Pair of Missing Observations" Afribary. Afribary, 23 Oct. 2022, https://track.afribary.com/works/seven-factor-central-composite-design-robust-to-a-pair-of-missing-observations. Accessed 23 Nov. 2024.
ANI, EMMANUEL . "Seven-Factor Central Composite Design Robust to a Pair of Missing Observations". Afribary, Afribary, 23 Oct. 2022. Web. 23 Nov. 2024. < https://track.afribary.com/works/seven-factor-central-composite-design-robust-to-a-pair-of-missing-observations >.
ANI, EMMANUEL . "Seven-Factor Central Composite Design Robust to a Pair of Missing Observations" Afribary (2022). Accessed November 23, 2024. https://track.afribary.com/works/seven-factor-central-composite-design-robust-to-a-pair-of-missing-observations