en عمومى General كاربردي Applicable <div style="text-align: justify;"><span style="font-size:11pt"><span style="line-height:normal"><span style="font-family:Calibri,sans-serif"><span style="font-size:12.0pt"><span new="" roman="" style="font-family:" times="">In this paper, a one-sample point predictor of the random variable X is studied. X is the occurrence of an event in any successive visits $L_i$ and $R_i$ :i=1,2&hellip;,n (interval censoring). Our proposed method is based on finding the expected value of the conditional distribution of X given $L_i$ and $R_i$ (i=1,2&hellip;,n). To make the desired prediction, our approach is on the basis of approximating the unknown Weibull parameters using the mid-point approximation and approximate maximum likelihood (AML). After obtaining the parameter estimation, the prediction of X can be made. Moreover, the 95% bootstrap confidence intervals of unknown parameters and the 95% bootstrap prediction bounds of X are presented. The performance of the proposed procedure based on the mean squared error (MSE) and the average width (AW) of the confidence interval is investigated by employing Monte Carlo simulation. A Real data set is also studied to illustrate the proposed procedure.</span></span></span></span></span></div> Approximate maximum likelihood estimator, Bootstrap samples, interval censoring, mean squared prediction error, mid-point approximation, monte Carlo simulation, one-sample prediction. 171 190 http://jsri.srtc.ac.ir/browse.php?a_code=A-10-354-2&slc_lang=en&sid=1 Somayeh Ghafouri سمیه غفوری somayyeh.ghafoori@gmail.com 10031947532846002404 10031947532846002404 Yes Arak University‎ Arezou Habibirad آرزو حبیبی‌راد ahabibi@um.ac.ir 10031947532846002405 10031947532846002405 No Ferdowsi University of Mashhad Fatemeh Yousefzadeh فاطمه یوسف‌زاده 10031947532846002406 10031947532846002406 No University of Birjand Reza Pakyari رضا پاکیاری rpakyari@qu.edu.qa 10031947532846002407 10031947532846002407 No Qatar University‎