کرنا ہو کسی زن کو جب کسی غم کا ماتم
چوڑی اپنے ہاتھ کی وہ توڑ دیتی ہے
سجنا چھوڑ دیتی ہے سنورنا چھوڑ دیتی ہے
پر لاحق ہو کسی مرد کو جب کوئی غم
تو کیسے کرے وہ اس کا ماتم
چوڑی آخر وہ نہ پہنے
غم میں جس کو توڑے وہ
نہ مثلِ عورت وہ بھی سنورے
ماتم میں جس کو چھوڑے وہ
کیا کرے پھر وہ بیچارا
کس کا لے آخر سہارا
ہاں اک بات آخر ہونے لگتی ہے
کہ داڑھی اُس کی وضع کھونے لگتی ہے
جبیں پہ غم سجا لیتا ہے وہ
اور بال اپنے بڑھا لیتا ہے وہ
آؤ دیکھو تو سہی میں نے
وہ سب چلن اپنا لیے ہیں
اور بال بھی اپنے بڑھا لیے ہیں
Muhammad ibn ‘Umr Al-Wqid is considered to be one of the most famous early Muslim historians. Despite being disputed among the circle of Muhaddithn, he was popular among the early Muslim historians. He got recognition and fame as a historian in the 2nd half of 2nd century of Hijrah. In fact, he was an outstanding historian who introduced new trends in writing and composition of historic narratives. The early Muslim historians cited and quoted Al-Wqid freely where they needed him without any kind of reluctance. It is well to know that western orientalists pay special attention to AlWqid and his book "Al-Maghz ". Perhaps it is not due to their biasness or impartiality, but for the excellent work of Al-Wqid. In this regard, they think that Al-Wqid is more accurate and clear in giving details and judgments about historical events than any other early Muslim historian. Al-Wqid 's dating of historical events is more acute and correct. He owns what he produces and narrates. Moreover, he seems to be sensitive and aware of consequences of what he writes in his book " Al-Maghz ", that is why we see him sometime indulging in some issues extra-ordinarily and proving and disproving what he thinks right or wrong by logical (internal and external) criticism. Al-Wqid explores historical events and tries to know about root causes of their happening and finally analyzes their consequences. These are some special qualities of Al-Wqid 's work in the eyes of western orientalists. In this article, I have tried to highlight these aspects of Al-Wqid 's work from the oriental literature.
The main purpose of this study was to examine the impact of sample size on multilevel model estimates and their standard errors under different methods of estimations. Three different studies were designed to achieve the objectives of the study. In study 1, two level binary logistic random intercept and random slope regression model was used. The performance of two estimation methods was observed under varying conditions of the design factors i.e the number of groups, group sizes and intraclass correlation (ICC). Maximum Likelihood (ML) with adaptive quadrature and Penalized Quasi-likelihood (PQL) methods of estimation were used in study 1. Similarly, three categories and five categories two level ordinal logistic random intercept and random slope regression models were used in study 2. The performance of ML and PQL methods of estimation was observed under varying conditions of the design factors i.e., the number of groups, group sizes, ICC and distribution of category responses. Moreover, a two level random intercept and random slope linear regression model was used in study 3. The performance of Restricted Maximum Likelihood Method (REML) and Bootstrap by means of Minimum Norm Quadratic Unbiased Estimators (MINQUE) was observed under varying conditions of the design factors. In all the three studies relative parameter bias and 95% confidence interval coverage rates were used to assess accuracy and precision of estimates and their standard errors. Further, empirical power rates were also computed in study 1 and study 2.