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. Author manuscript; available in PMC: 2019 Sep 19.
Published in final edited form as: J Stat Comput Simul. 2018 Sep 19;88(18):3502–3528. doi: 10.1080/00949655.2018.1523411

Table A4.

Summary results under simulation scenarios with categorical G factors and AR structure under linear model. In each cell, mean (sd) based on 200 replicates.

M:TP M:FP I:TP I:FP RSSE PMSE
D1: N(0,1)
LTS-MCP-Hier 7.9(0.3) 0.3(1.0) 12.3(1.5) 0.6(0.9) 2.03(0.42) 0.95(0.44)
LS-MCP 6.2(1.1) 4.5(4.2) 11.3(1.3) 14.3(11.5) 2.48(0.54) 1.13(0.37)
LAD-Lasso 8.0(0.0) 10.7(5.7) 13.4(1.0) 27.9(10.1) 1.68(0.31) 1.37(0.41)
RLARS 4.1(1.2) 13.2(5.8) 2.3(1.6) 8.4(5.0) 4.73(0.44) 8.87(3.01)
LTS-MCP 6.7(0.9) 7.0(3.3) 11.3(1.1) 27.6(8.1) 2.19(0.49) 1.19(0.25)
LS-MCP-Hier 8.0(0.0) 0.3(0.8) 13.1(0.9) 0.5(0.7) 1.66(0.27) 0.80(0.17)

D2: 0.9N(0,1) + 0.1Cauchy(0,5)
LTS-MCP-Hier 8.0(0.2) 1.0(2.8) 11.8(2.0) 0.9(1.1) 2.13(0.47) 1.07(0.45)
LS-MCP 1.9(1.8) 21.1(8.4) 2.2(2.4) 74.7(11.4) 35.47(49.17) 712.17(2635.35)
LAD-Lasso 7.8(0.4) 2.4(1.7) 7.8(2.3) 7.2(3.5) 3.02(0.34) 4.05(1.16)
RLARS 4.0(1.1) 11.4(5.3) 1.9(1.4) 7.8(4.4) 4.85(0.41) 9.86(3.38)
LTS-MCP 6.5(1.0) 8.5(3.5) 11.1(1.2) 32.1(7.9) 2.35(0.52) 1.24(0.28)
LS-MCP-Hier 6.0(1.5) 153.5(116.8) 2.4(3.2) 24.5(72.4) 28.86(41.92) 1214.97(5318.06)

D3: 0.9N(0,1) + 0.1N(20,1)
LTS-MCP-Hier 8.0(0.2) 0.5(1.4) 12.3(1.6) 0.8(0.9) 1.94(0.41) 0.93(0.41)
LS-MCP 2.8(1.1) 25.0(5.4) 2.7(1.4) 67.2(6.0) 9.90(0.71) 34.37(7.31)
LAD-Lasso 7.5(0.6) 2.8(1.9) 5.6(2.2) 8.4(2.6) 3.33(0.33) 5.04(1.54)
RLARS 3.8(1.1) 10.1(3.8) 0.9(0.9) 6.3(3.2) 5.14(0.50) 11.87(3.95)
LTS-MCP 6.7(1.1) 7.6(3.5) 11.4(1.1) 28.0(7.5) 2.21(0.52) 1.03(0.22)
LS-MCP-Hier 6.4(1.0) 94.4(7.5) 2.2(1.5) 5.1(5.6) 8.64(0.53) 31.64(6.01)

D4: N(0,1) and with leverage points
LTS-MCP-Hier 7.7(0.6) 7.7(12.3) 10.1(3.0) 1.3(1.1) 2.50(0.61) 1.71(1.08)
LS-MCP 4.4(1.3) 21.5(5.7) 6.8(1.9) 55.4(7.3) 4.95(0.79) 6.95(2.98)
LAD-Lasso 7.0(0.9) 7.6(4.0) 4.7(2.4) 9.0(4.1) 3.51(0.37) 6.35(1.97)
RLARS 5.7(1.1) 13.7(6.6) 2.7(1.7) 8.7(4.8) 4.46(0.42) 7.11(2.26)
LTS-MCP 6.2(1.1) 11.9(5.1) 10.5(1.6) 34.4(7.0) 2.67(0.59) 2.17(0.56)
LS-MCP-Hier 7.7(0.6) 52.4(20.8) 6.5(2.2) 2.4(2.4) 3.61(0.67) 4.38(1.90)

D5: 0.9N(0,1) + 0.1Cauchy(0,5) and with leverage points
LTS-MCP-Hier 7.9(0.4) 1.7(4.7) 11.2(2.3) 1.0(1.1) 2.27(0.53) 1.56(0.78)
LS-MCP 1.4(1.4) 22.2(7.7) 1.6(2.0) 76.1(10.6) 39.92(54.72) 771.74(2428.31)
LAD-Lasso 7.2(0.9) 4.5(2.6) 4.6(2.2) 8.0(2.9) 3.51(0.31) 6.12(1.65)
RLARS 5.6(1.1) 11.0(5.6) 2.7(1.8) 9.3(5.8) 4.50(0.40) 7.18(2.21)
LTS-MCP 6.4(0.9) 10.1(4.2) 11.1(1.4) 32.8(7.5) 2.43(0.55) 1.86(0.38)
LS-MCP-Hier 5.4(1.5) 164.5(117.5) 1.7(2.4) 29.5(75.9) 31.75(42.57) 1196.18(4354.42)