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Table 2 Schemes used to simulate data

From: Models with indirect genetic effects depending on group sizes: a simulation study assessing the precision of the estimates of the dilution parameter

Schemea

n

n b g

CV

\(\bar{n}\)

1

3, 4, 5

889, 667, 533

0.250

4

2

3, 5

1335, 799

0.354

4

3

2, 4, 6

1333, 666, 445

0.500

4

4

2, 6

2002, 666

0.707

4

5

5, 6, 7

534, 445, 380

0.167

6

6

5, 7*

799, 572*

0.236

6

7

4, 6, 8

666, 444, 334

0.333

6

8

4, 8

1000, 500

0.471

6

9

2, 6, 10

1333, 444, 267

0.667

6

10

2, 10

2000, 400

0.943

6

11

7, 8, 9**

380, 333, 297**

0.125

8

12

7, 9

572, 444

0.177

8

13

6, 8, 10

446, 333, 266

0.250

8

14

6, 10***

666, 400***

0.353

8

15

4, 8, 12

666, 334, 222

0.500

8

16

4, 12

1001, 333

0.707

8

17

2, 8, 14

1334, 334, 190

0.750

8

18

2, 14

2005, 285

1.010

8

  1. For some schemes, a few individuals were removed if they could not make up a group for the group sizes of that scheme
  2. For the schemes in italics (14, 16 and 18), the two-family designs were also tested
  3. n group size, ng number of groups, CV coefficient of variation and \(\bar{n}\) average group size
  4. *One individual was removed; **three individuals were removed; ***four individuals were removed
  5. aFor each scheme, three dilution parameters were evaluated
  6. bThe 8000 individuals were divided into either two or three subsets depending on the number of group sizes in a scheme and the subsets were divided by the group size, resulting in the number of groups