Estimation of Parameters of Generalized Inverted Exponential Distribution for Progressive Type-II Censored Sample with Binomial Removals

Table 4

Risks of estimators of 𝛼 and 𝜆 under GELF for fixed, 𝑛=15, 𝛼=2, 𝜆=2, and 𝑝=0.5.

(𝛿,𝑣)	𝑚	𝑅𝐺(𝛼𝑀)	𝑅𝐺(𝛼𝑆)	𝑅𝐺(𝛼𝐺)	𝑅𝐺(𝜆𝑀)	𝑅𝐺(𝜆𝑆)	𝑅𝐺(𝜆𝐺)
(−0.25, 0.4)	9	0.031491	0.00581	0.00579	0.01332	0.00278	0.00276
	12	0.02707	0.00504	0.00503	0.01257	0.00277	0.00267
	15	0.02279	0.00427	0.00426	0.01106	0.00240	0.00239
(−0.25, 1)	9	0.03149	0.00634	0.00633	0.01332	0.00301	0.00204
	12	0.02707	0.00547	0.00526	0.01257	0.00273	0.00270
	15	0.02279	0.00446	0.00445	0.01106	0.00250	0.00247
(−0.25, 10)	9	0.03149	0.00704	0.00703	0.01332	0.00292	0.00182
	12	0.02707	0.00552	0.00551	0.01257	0.00258	0.00247
	15	0.02279	0.00487	0.00486	0.01106	0.00237	0.002366
(0.5, 0.4)	9	0.03149	0.02357	0.02344	0.01332	0.01186	0.01096
	12	0.02707	0.02083	0.02074	0.01257	0.01057	0.01056
	15	0.02279	0.01902	0.01895	0.01106	0.00972	0.009686
(0.5, 1)	9	0.03149	0.02895	0.028800	0.01332	0.01301	0.01300
	12	0.02707	0.02513	0.02503	0.01257	0.01226	0.01225
	15	0.02279	0.02129	0.02122	0.01106	0.01083	0.01082
(0.5, 10)	9	0.03149	0.03124	0.03107	0.01332	0.01224	0.01223
	12	0.02707	0.02448	0.02438	0.01257	0.01053	0.01052
	15	0.02279	0.02184	0.02177	0.01106	0.00988	0.00987