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Table 1 Cumulative Survival Probability (CSP) fitting parameters

From: Lifespans of passenger cars in Europe: empirical modelling of fleet turnover dynamics

  Weibull   Import-Gaussian   R2 values
Country γ β   δ μ σ   \(R^{2}_{W}\) \(R^{2}_{WG}\)
AUT 15.9 3.4    0.99 0.99
BEL 11.7 2.0    0.97 0.97
CHE 15.4 3.6    0.99 0.99
CYP 25.0 6.0   0.8 14.8 5.7   0.58 0.81
CZE 25.5 6.0   0.9 13.4 5.0   0.56 0.90
DEU 14.8 2.4    0.99 0.99
DNK 16.9 3.4    0.94 0.94
ESP 19.4 3.2    0.97 0.97
EST 32.8 6.0   1.7 18.3 5.0   0.24 0.79
FIN 24.9 3.2    0.88 0.88
FRA 15.2 6.0    0.93 0.93
GBR 14.2 4.0    0.99 0.99
GRC 33.9 4.2    0.62 0.62
HRV 30.9 6.0   0.2 14.7 10.6   0.80 0.87
HUN 23.1 6.0   0.2 12.1 6.7   0.83 0.87
IRL 15.0 6.0   0.3 5.0 5.0   0.90 0.97
ISL 19.7 6.0   0.8 5.0 5.0   0.53 0.71
ITA 19.6 2.7    0.97 0.97
LIE 15.6 3.9    0.99 0.99
LTU 30.7 6.0   6.3 14.0 5.0   0.00 0.90
LUX 8.0 2.0    0.97 0.97
LVA 30.9 6.0   4.1 16.5 5.0   0.01 0.85
MLT 31.2 6.0   1.5 11.2 6.2   0.28 0.88
NLD 17.2 4.4    1.00 1.00
NOR 19.8 6.0   0.2 10.2 5.0   0.95 0.98
POL 35.1 6.0   2.8 18.5 6.7   0.00 0.85
PRT 23.1 6.0    0.98 0.98
ROU 28.4 6.0   1.1 15.2 6.4   0.42 0.73
SVK 21.7 6.0   0.9 10.9 5.8   0.63 0.90
SVN 20.0 6.0    0.90 0.90
SWE 19.4 4.9    0.89 0.89
  1. Legend: Weibull average lifetime (γ), Weibull shape parameter (β), Gaussian max (δ), Gaussian mean (μ), Gaussian standard deviation (σ), \(R^{2}_{W}\) of Weibull fit (current standard CSP estimation method), \(R^{2}_{WG}\) of Weibull-Gaussian fit (new CSP estimation method)