Table 4 Comparison of the expected (Equation 16) and empirical estimates for the traditional model

From: Indirect genetic effects and kin recognition: estimating IGEs when interactions differ between kin and strangers

Scheme

Error%

 

Basic

−1

−2

−2

−1

Alt.1

1

−1

0

1

Alt.2

0

1

0

−1

Alt.3

0

4

−2

0

Alt.4

0

−4

0

2

Alt.5

−2

0

−1

−2

Alt.6

−1

2

1

−1

Alt.7

0

0

0

0

Alt.8

1

2

−1

−3

Alt.9

0

2

2

1

Alt.10

−3

−4

0

−2

Alt.11

−1

−2

0

−1

Alt.12

0

2

0

1

Alt.13

−2

−5

−3

−3

Alt.14

1

3

0

−2

  1. See Table 2 for description of schemes. Error %=100% × (estimated−expected)/expected, where the expected values of estimates are taken from Equation 16. When prediction equals true value E[error%]≈0. The expected absolute error equals E[|error%|]∼2.5%, and E|error %|>5% implies significant bias (P<0.05;two sided). Beware that expected values do not correspond to the simulated values (Equation 16).
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