Overview
This source page is a mechanical bulk-ingest record for a PDF in the methylmercury infant-formula research pull. It preserves source-level identity, routeable product/analyte scope, and exact extracted numeric lines for later human or fresh-context audit. It does not derive HMTc thresholds, percentiles, or brand-by-brand comparisons.
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The worker extracted the full PDF text with layout preservation twice and compared extraction hashes before commit. The following lines are copied from numeric/table-bearing regions of the PDF and retain the source units and wording where legible:
- License: This work is licensed under a Creative Commons Attribution 4.0 International License.
- Sudesh K. Srivastav∗,1 Apurv Srivastav2
- 1 Department of Biostatistics and Data Science, Tulane University, New Orleans, USA
- 2 Department of Electrical and Computer Engineering, Center of Bioinformatics and
- We introduce a master (k + 1)-ary design with explicit replication and pairwise concur-
- AMS Subject Classification (2020): 62K10 · 05B05
- first considered by Tocher (1) and later formalized as balanced n-ary designs, in which each
- possible values for treatment multiplicities (0, 1, … , n − 1), not the number of treatments
- n = 2. Throughout, we use the convention that an n-ary design permits multiplicities in
- 0, 1, … , n − 1; thus a design allowing multiplicity up to k is referred to as (k + 1)-ary.
- in {0, 1, … , n − 1}, and (iii) for any two distinct elements i and j, the pairwise index
- definition is consistent with the multiset design framework of Shah and Dey (4) and subse-
- quent generalizations by Billington (5; 6), in which balance is defined via constant weighted
- stood to allow multiplicities in {0, 1, … , n − 1}; in particular, the master multiset design
- D(v : k) introduced in Section 2 is (k+1)-ary. Derived subdesigns enforce smaller admissi-
- ble multiplicity ranges as specified in Section 3. As in classical balanced incomplete block
- introduced by Bose (2), which revolutionized the field by providing algebraic techniques to
- Dey (3) and Shah and Dey (4) extended these concepts to n-ary structures, many traditional
- Recent developments include nested balanced n-ary designs (Dey and Midha (8); Sharma and
- are the multiset designs introduced by Assaf et al. (11), which allow repeated elements
- all distinct multisets of size k drawn from a v-set forms a balanced (k+1)-ary design with
- arities, satisfy the generalized Fisher inequality b ≥ v (Preece (12)), and provide analyti-
- Assaf et al. (11), who allow repeated blocks and variable block sizes, our construction uses
- The remainder of the paper is organized as follows. In Section 2, we describe the multiset
- (k+1)-ary design. Section 3 develops systematic deletion schemes that generate balanced
- 2 Construction of Balanced (k+1)-ary Designs
- 2.3 Structural design parameters
- using a standard binomial summation identity (see Appendix A and, for example, Gould (14);
- Riordan (15)). This expression is consistent with the symmetry argument that, among all
- as derived in detail in Appendix B, using repeated hockey-stick identities; see also Gould (14)
- 2.4.1 Case 1: v = 3, k = 2 (balanced 3-ary design)
- The blocks are categorized by their multiplicity patterns in Table 1.
- Table 1: Block configurations for v = 3, k = 2.
- Distinct Pairs (xi = 1, xj = 1) {1, 2}, {1, 3}, {2, 3} 3
- 2.4.2 Case 2: v = 3, k = 3 (balanced 4-ary design)
- The block structure becomes more complex, as shown in Table 2.
- Table 2: Compact block configurations for v = 3, k = 3.
- All distinct (x1 = x2 = x3 = 1) {1, 2, 3} 1
- 2.4.3 Case 3: v = 2, k = 3 (explicit λ calculation)
- smallest non-trivial case D(2 : 3). The master design contains b = 3
- The master pairwise index is λmaster = 41 = 4. Verifying manually via the sum of products:
- Applying the deletion rule for s = 2 (deleting blocks where xi = 3), we remove B1 and B2 .
Methods (brief)
- The current framework is combinatorially distinct from Efficiency Balanced Sample De-
- the Efficiency Balanced Sample Design (EBSD) framework of Srivastav and Srivastav (13).
- treatments ← sample(1:4, N, replace=TRUE)
- blocks_unbal ← replicate(b, sample(1:v, k, replace = TRUE), simplify = FALSE)
- Sample Simulation Output
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