“…Example 1. [3,7,10,11,16] + [4,6,12] + [9,10] produce following MCWBND-II for v = 24, k 1 = 6, k 2 = 4, k 3 = 3.…”
Section: Methodsmentioning
confidence: 99%
“…See Table 19. [3,4,5,6,7,15], [9,10,11,13,12,21], [16,17,18,19], [19,22] 0.834 Generator 17. MCWBNDs-II for v = 2ik 1 + 2k 2 + 2k 3 -2 with k 2 = k 1 -2, k 3 = 4 can be obtained if:…”
Section: For Kmentioning
confidence: 99%
“…See Table 20. i (mod 4) ≡ 3 [6,13,16,25,26,27], [11,12,17,21,22,24], [2,4,7,10,15,19], 0.846 [20,23,29,30], [8,18,27] Generator 18. MCWBNDs-II for v = 2ik 1 + 2k 2 + 2k 3 -2 with k 2 = k 1 -2, k 3 = 5 can be obtained if…”
“…Shabbir et al (2023) [24] developed an R-coded algorithm based on Rule I to generate GN2-designs. Hassan et al (2023) [6] developed Quasi rees neighbor designs which can be converted into other useful classes. Fardos et al (2023) [5] presented catalogues of some important classes of MCBNDs.…”
Minimal circular weakly balanced neighbor designs (MCWBNDs) are efficient to controlneighbor effects for v even. MCWBNDs-II are designs where3v/2 unordered pairs of different treatments occur twice but remaining pairs occur once as neighbors, are not available for m (mod 4) ≡ 0& 3 in blocks of three different sizes with m = (v-2)/2 and v even. Here, some new generators are presented to develop cyclic shifts to get MCWBNDs-II in blocks of three different sizes.
“…Example 1. [3,7,10,11,16] + [4,6,12] + [9,10] produce following MCWBND-II for v = 24, k 1 = 6, k 2 = 4, k 3 = 3.…”
Section: Methodsmentioning
confidence: 99%
“…See Table 19. [3,4,5,6,7,15], [9,10,11,13,12,21], [16,17,18,19], [19,22] 0.834 Generator 17. MCWBNDs-II for v = 2ik 1 + 2k 2 + 2k 3 -2 with k 2 = k 1 -2, k 3 = 4 can be obtained if:…”
Section: For Kmentioning
confidence: 99%
“…See Table 20. i (mod 4) ≡ 3 [6,13,16,25,26,27], [11,12,17,21,22,24], [2,4,7,10,15,19], 0.846 [20,23,29,30], [8,18,27] Generator 18. MCWBNDs-II for v = 2ik 1 + 2k 2 + 2k 3 -2 with k 2 = k 1 -2, k 3 = 5 can be obtained if…”
“…Shabbir et al (2023) [24] developed an R-coded algorithm based on Rule I to generate GN2-designs. Hassan et al (2023) [6] developed Quasi rees neighbor designs which can be converted into other useful classes. Fardos et al (2023) [5] presented catalogues of some important classes of MCBNDs.…”
Minimal circular weakly balanced neighbor designs (MCWBNDs) are efficient to controlneighbor effects for v even. MCWBNDs-II are designs where3v/2 unordered pairs of different treatments occur twice but remaining pairs occur once as neighbors, are not available for m (mod 4) ≡ 0& 3 in blocks of three different sizes with m = (v-2)/2 and v even. Here, some new generators are presented to develop cyclic shifts to get MCWBNDs-II in blocks of three different sizes.
Minimal neighbor balanced designs are economical, therefore, these are preferred by the experimenters to minimize the bias due to neighbor effects. Minimal circular balanced neighbor designs cannot be constructed for almost every case of v even, where v is number of the treatments to be compared. For v even, the circular GN2-designs in which each treatment appears exactly once as neighbors with all other treatments except the one with which it appears twice, are considered the better alternate to the minimal balanced neighbor designs. In this article, an algorithm is developed to generate the circular GN2-designs for v even which can be converted directly into minimal circular balanced and strongly balanced neighbor designs. This algorithm is also coded with R.
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