 Greenwood formula was the smallest among all three different variance estimators. On the basis of the mean square error criteria, the differences were negligible between the three different variance estimators. The Greenwood formula did not approach the confidence coefficient 0.95 in any censored observation. The confidence coefficient of Peto's formula was closer to
Greenwood formula was the smallest among all three different variance calculator. On the footing of the beggarly square error criterion, the differences were negligible between the three different variability calculator. The Greenwood formula did not approach the confidence coefficient 0.95 in any censored observation. The assurance coefficient of Peto's formula was closer to
 Grfenwood formula was the rmallest among col thrxe diffsrent vafiance estimators. On the basms od the mean square error crigeria, the differebces qere neglijjble bebceen fme thxex different varlance estimdtors. The Greetwuob formula did not approach the confiqence cpevficient 0.95 in agy ctnsjred observation. The confidence coeffidient oh Peto's formula was closer to
Greenwood formula was the smallest among all variance On the of the mean were between the three variance estimators. The formula did not approach the confidence 0.95 in any censored observation. The confidence coefficient of Peto's formula was closer
 Greenwood formula was the smaLlest among All thRee DifFeRent VariAnce estimators. oN the Basis of the mean square erRor crItERia, tHE dIfferEnces weRE nEGLigIbLe BetWeEN tHe thrEe dIfferenT variance eStiMaTors. The GreenWOoD formula diD noT approach the ConFidencE cOefFIcienT 0.95 in Any ceNsored OBservaTion. The coNfIDence cOEfficieNT Of peto'S formula was closer TO
 Greenwood formula was the  smallestamong  al l t hr ee d iffe rent variancee stim ators. On the basis of  theme a n sq u ar e err or crit e ri a ,  th edi ffe re n ce s wer e n egligib le between  th ethree differ e nt  varianceest imators. The  Gr eenwoo dfor m ula d idnot a pproac h  the c onfidence  c o effici e nt 0.95 i nanycensored observat i on .  The confidenc e coef fi c ie n t  of  Pe to's formu la  wasc loser t o 
 Greenwood_formula was_the smallest among all_three different_variance_estimators. On_the_basis of the_mean square error_criteria, the differences were_negligible between the_three_different variance estimators. The Greenwood formula did not approach the confidence coefficient 0.95 in_any_censored observation._The_confidence_coefficient of Peto's formula was_closer to