ece3899-sup-0001-FiguresS1-S13.pdf | application/PDF | 7312K | Figure S1. Boxplots of capture probability estimates () of 100 simulated datasets, for the Crosbie–Manley–Arnason–Schwarz (C: red), the likelihood (L: green), and the pseudo-likelihood (H: yellow; Huggins et al. 2010) when parameters values are N = 1000, and p = 0.2,0.5,0.8 for ϕ = 0.2 (top), and ϕ = 0.5 (middle), ϕ = 0.8 (bottom). Figure S2. Boxplots of survival probability estimates of 100 simulated datasets, for the Crosbie–Manley–Arnason–Schwarz (C: red), the likelihood (L: green), and the pseudo-likelihood (H: yellow; Huggins et al. 2010) when parameters values are N = 1000, and ϕ = 0.2, 0.5, 0.8 for p = 0.2 (top), and p = 0.5 (middle), p = 0.8 (bottom). Figure S3. Boxplots of abundance estimates for each sample time (k = 7) of 100 simulated datasets, for the Crosbie–Manley–Arnason–Schwarz (C: red), the likelihood (L: green), and the pseudo-likelihood (H: yellow; Huggins et al. 2010) when parameters values are N = 200, and ϕ = 0.2 for p = 0.2 (top), and p = 0.5 (middle), p = 0.8 (bottom). The long black horizontal lines show the expected population size at time j. Figure S4. Boxplots of abundance estimates for each sample time (k = 7) of 100 simulated datasets, for the Crosbie–Manley–Arnason–Schwarz (C: red), the likelihood (L: green), and the pseudo-likelihood (H: yellow; Huggins et al. 2010) when parameters values are N = 200, and ϕ = 0.5 for p = 0.2 (top), and p = 0.5 (middle), p = 0.8 (bottom). The long black horizontal lines show the expected population size at time j. Figure S5. Boxplots of abundance estimates for each sample time (k = 7) of 100 simulated datasets, for the Crosbie–Manley–Arnason–Schwarz (C: red), the likelihood (L: green), and the pseudo-likelihood (H: yellow; Huggins et al. 2010) when parameters values are N = 1000, and ϕ = 0.2 for p = 0.2 (top), and p = 0.5 (middle), p = 0.8 (bottom). The long black horizontal lines show the expected population size at time j. Figure S6. Boxplots of abundance estimates for each sample time (k = 7) of 100 simulated datasets, for the Crosbie–Manley–Arnason–Schwarz (C: red), the likelihood (L: green), and the pseudo-likelihood (H: yellow; Huggins et al. 2010) when parameters values are N = 1000, and ϕ = 0.5 for p = 0.2 (top), and p = 0.5 (middle), p = 0.8 (bottom). The long black horizontal lines show the expected population size at time j. Figure S7. Boxplots of abundance estimates for each sample time (k = 7) of 100 simulated datasets, for the Crosbie–Manley–Arnason–Schwarz (C: red), the likelihood (L: green), and the pseudo-likelihood (H: yellow; Huggins et al. 2010) when parameters values are N = 1000, and ϕ = 0.8 for p = 0.2 (top), and p = 0.5 (middle), p = 0.8 (bottom). The long black horizontal lines show the expected population size at time j. Figure S8. Boxplots of estimated standard errors for the abundance estimates () for each sample time (k = 7) of 100 simulated datasets, for the Crosbie–Manley–Arnason–Schwarz (C: red), the likelihood (L: green), and the pseudo-likelihood (H: yellow; Huggins et al. 2010) when parameters values are N = 200, and ϕ = 0.2 for p = 0.2 (top), and p = 0.5 (middle), p = 0.8 (bottom). Estimates from simulations that produced a singular Hessian were removed. Figure S9. Boxplots of estimated standard errors for the abundance estimates () for each sample time (k = 7) of 100 simulated datasets, for the Crosbie–Manley–Arnason–Schwarz (C: red), the likelihood (L: green), and the pseudo-likelihood (H: yellow; Huggins et al. 2010) when parameters values are N = 200, and ϕ = 0.5 for p = 0.2 (top), and p = 0.5 (middle), p = 0.8 (bottom). Estimates from simulations that produced a singular Hessian were removed. Figure S10. Boxplots of estimated standard errors for the abundance estimates () for each sample time (k = 7) of 100 simulated datasets, for the Crosbie–Manley–Arnason–Schwarz (C: red), the likelihood (L: green), and the pseudo-likelihood (H: yellow; Huggins et al. 2010) when parameters values are N = 200, and ϕ = 0.8 for p = 0.2 (top), and p = 0.5 (middle), p = 0.8 (bottom). Estimates from simulations that produced a singular Hessian were removed. Figure S11. Boxplots of estimated standard errors for the abundance estimates () for each sample time (k = 7) of 100 simulated datasets, for the Crosbie–Manley–Arnason–Schwarz (C: red), the likelihood (L: green), and the pseudo-likelihood (H: yellow; Huggins et al. 2010) when parameters values are N = 1000, and ϕ = 0.2 for p = 0.2 (top), and p = 0.5 (middle), p = 0.8 (bottom). Estimates from simulations that produced a singular Hessian were removed. Figure S12. Boxplots of estimated standard errors for the abundance estimates () for each sample time (k = 7) of 100 simulated datasets, for the Crosbie–Manley–Arnason–Schwarz (C: red), the likelihood (L: green), and the pseudo-likelihood (H: yellow; Huggins et al. 2010) when parameters values are N = 1000, and ϕ = 0.5 for p = 0.2 (top), and p = 0.5 (middle), p = 0.8 (bottom). Estimates from simulations that produced a singular Hessian were removed. Figure S13. Boxplots of estimated standard errors for the abundance estimates () for each sample time (k = 7) of 100 simulated datasets, for the Crosbie–Manley–Arnason–Schwarz (C: red), the likelihood (L: green), and the pseudo-likelihood (H: yellow; Huggins et al. 2010) when parameters values are N = 1000, and ϕ = 0.8 for p = 0.2 (top), and p = 0.5 (middle), p = 0.8 (bottom). Estimates from simulations that produced a singular Hessian were removed. |