Table 19 The simulation study for the two sets when censoring percentage equal 0.5.
From: A new family of alpha power-G using cosine function with applications and regression modeling
Censoring percentage | n | Parameter | set1 | set2 | ||
|---|---|---|---|---|---|---|
Estimate | MSE | Estimate | MSE | |||
0.5 | 60 | \(\nu _{0}\) | 0.4908 | 0.4956 | 1.1532 | 0.6409 |
\(\nu _{1}\) | 0.8780 | 1.2503 | 0.0742 | 1.5283 | ||
\(\sigma\) | 2.7860 | 0.4182 | 3.4680 | 0.7443 | ||
\(\alpha\) | 3.3774 | 1.8236 | 4.9208 | 1.7385 | ||
120 | \(\nu _{0}\) | 0.4912 | 0.2990 | 1.1639 | 0.3785 | |
\(\nu _{1}\) | 1.0002 | 0.7021 | 0.0992 | 0.9056 | ||
\(\sigma\) | 2.9351 | 0.1962 | 3.6699 | 0.3721 | ||
\(\alpha\) | 3.3147 | 1.6880 | 4.7730 | 1.5874 | ||
250 | \(\nu _{0}\) | 0.5270 | 0.1904 | 1.1966 | 0.1913 | |
\(\nu _{1}\) | 0.9994 | 0.3594 | 0.0643 | 0.4269 | ||
\(\sigma\) | 3.0530 | 0.1006 | 3.7983 | 0.1898 | ||
\(\alpha\) | 3.2328 | 1.2982 | 4.8114 | 1.2527 | ||
350 | \(\nu _{0}\) | 0.5140 | 0.1623 | 1.2123 | 0.1629 | |
\(\nu _{1}\) | 1.0455 | 0.2332 | 0.0560 | 0.3377 | ||
\(\sigma\) | 3.0999 | 0.0730 | 3.8649 | 0.1405 | ||
\(\alpha\) | 3.1935 | 1.1863 | 4.7544 | 1.0682 | ||
500 | \(\nu _{0}\) | 0.5454 | 0.1255 | 1.1890 | 0.1316 | |
\(\nu _{1}\) | 1.0210 | 0.1800 | 0.0725 | 0.2236 | ||
\(\sigma\) | 3.1104 | 0.0535 | 3.9280 | 0.0908 | ||
\(\alpha\) | 3.1907 | 1.0076 | 4.8057 | 0.9639 | ||