## Figures index

#### From

#### Performance of Log-Beta Log-Logistic Regression Model

*American Journal of Applied Mathematics and Statistics*.

**2016**, 4(3), 74-86 doi:10.12691/ajams-4-3-3

**Fig****ure****1.**Normal probability plots for martingale residuals () . Sample sizes*n*=30, 50 and 100, percentage of right-censored= 0, 10 and 30,*σ*=0.8

**Fig****ure****2.**Histogram and Smooth curve plots for martingale residuals() .Sample sizes n=30, 50 and 100, percentage of right-censored= 0, 10 and 30, σ=0.8

**Fi****gure****3.**Normal probability plots for martingale residual (). Sample sizes*n*=30, 50 and 100, percentage of right-censored=10, 30 and 50,*σ*=1.8

**Fig****ure****4.**Histogram and Smooth curve plots for martingale residuals () . Sample sizes n=30, 50 and 100, percentage of right-censored=10, 30 and 50, σ=1.8

**Fig****ure****5.**Normal probability plots for martingale residuals () . Sample sizes n=30, 50 and 100, percentage of right-censored=10, 30 and 50, σ=5

**Fig****ure****6.**Histogram and Smooth curve plots for martingale residuals () . Sample sizes n=30, 50 and 100, percentage of right-censored=10, 30 and 50, σ=5

**Figure****7.**the index plot of

**Figure****8.**The index plot of