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مو لانا حامد الانصاری غازی

آہ! مولوی نور عظیم ندوی
دارالعلوم ندوۃ العلماء کے لائق فرزند اور ہونہار استاد مولوی نور عظیم ندوی چند ماہ کی علالت کے بعد وفات پاگئے، اِناﷲ وَ اِنا اِلَیہ رَاجِعُون۔
وہ دارالعلوم سے فراغت کے بعد مزید تعلیم کے لیے مصر گئے، اردو کی طرح عربی لکھنے اور بولنے کی اچھی مشق تھی اور درس و تدریس کے ساتھ ہی تقریر و تحریر میں بھی اپنا جوہر دکھاتے تھے، جلسوں کی نظامت بڑی خوبی اور سلیقہ سے کرتے تھے، جس سمینار کی کاروائی وہ چلاتے وہ ضرور کامیاب ہوتا۔
پڑھنے لکھنے کا اچھا ذوق تھا اور اسی میں ان کا سارا وقت گزرتا، ندوۃ العلماء سے شائع ہونے والے اردو اور عربی جرائد میں ان کے مضامین وقتاً فوقتاً چھتے تھے۔ ایک زمانہ میں ندائے ملت کے عملاً وہی اڈیٹر تھے، تعلیم اور دوسرے موضوعات پر اس کے خاص نمبر بھی نکالے، مولانا سید ابوالحسن علی ندوی مدظلہ کی سرپرستی میں رابطہ ادب اسلامی کا قیام عمل میں آیا تو اس کے روح رواں مولانا سید محمد رابع ندوی کے یہی دست راست اور رابطہ کے ترجمان کے ایڈیٹر بھی تھے۔ ان کے پاس بعض اشخاص اور اکیڈمیوں کے مسودے تبصرے یا اصلاح کے لیے آتے تھے جن کو بڑے غور و توجہ سے پڑھتے، تحریر کی خوبیوں اور خرابیوں پر ان کی نظر فوراً پڑتی۔ اس معاملہ پر مولانا علی میاں مدظلہ بھی ان پر اعتماد کرتے تھے۔
ان کا وطن ضلع بستی تھا اور وہ مسلکاً اہل حدیث تھے لیکن ندوۃ العلماء میں شیرولشکر کی طرح گھل مل گئے تھے، بڑے خاموش طبع، کم سخن، خلیق اور متواضع تھے، ان کی عمر پچاس (۵۰) کی رہی ہوگی، آئندہ ان سے بڑی توقعات وابستہ تھیں لیکن ابھی اپنی چمک دمک بھی نہیں دکھانے پائے تھے کہ وقت موعود آگیا۔
؂ خوش درخشید ولے...

اسلام میں عورت کے حق طلاق کی حیثیت ایک تحقیقی جائزہ

Of the several factors that justify the greatness of Islamic Culture and survived the test of time, one is the pride of place ascribed to woman in human society. Since the dawn of Islamic civilization, woman has been respected and cored and her rights have been protected and, thus, womanfolk has been made a purposeful existence. However, Islam, being a religion of nature, does not bring woman on the line of equality with man as the Islam is the religion of justice; not that of equality. The Holy Quran has very apparently determined the rights and duties of man and woman and these all are based on natural facts and laws as well. In the contemporary times, progressive as well as west-inspired circles of our society have put numerous objections on the issue of divorce. They opine that by giving man right to divorce, woman has been deprived of equal status; hence this one-sided right has not only disturbed the family life, but put woman at an interior place. This point of view does not testify to the very facts of Islamic practices in connection with the institution of divorce. In order to understand the historical background of the institution of divorce, laws and practices in vogue in two major religions of the world-Judaism and Christianity, are discussed in a brief manner. Besides, various reforms, from time and again, introduced in divorce in west are also touched upon in nutshell. However, major portion of this article focuses on Islamic teachings regarding divorce and its implications. Therefore, this research article attempts to highlight the various aspects of divorce in the light of Islamicteachings in a comprehensive manner so as to remove the doubts of so-called west-oriented circles of our society.

Analytical Comparison of Hccmes

This thesis considers the issue of evaluating heteroskedasticity consistent covariance matrix estimators (HCCME) in linear heteroskedastic regression models. Several HCCMEs are considered, namely: HC0 (White estimator), HC1 (Hinkley estimator), HC2 (Horn, Horn & Duncan estimator) and HC3 (Mackinnon & White estimator). It is well known that White estimator is biased in finite samples; see e.g. Chesher & Jewitt and Mackinnon & White. A number of simulation studies show that HC2 & HC3 perform better than HC0 over the range of situations studied. See e.g. Long & Ervin, Mackinnon & White and Cribari-Neto & Zarkos. The existing studies have a serious drawback that they are just based on simulations and not analytical results. A number of design matrices as well as skedastic functions are used but the possibilities are too large to be adequately explored by simulations. In the past, analytical formulas have been developed by several authors for the means and the variances of different types of HCCMEs but the expression obtained are too complex to permit easy analysis. So they have not been used or analyzed to explore and investigate the relative performance of different HCCMEs. Our goal in this study is to analytically investigate the relative performance of different types of HCCMEs. One of the major contributions of this thesis is to develop new analytic formulae for the biases of the HCCMEs. These formulae permit us to use minimax type criteria to evaluate the performance of the different HCCMEs. We use these analytical formulae to identify regions of the parameter space which provide the ranges for the best and the worst performance of different estimators. If an estimator performs better than another in the region of its worst behavior, then we can confidently expect it to be better. Similarly, if an estimator is poor in area of its best performance, than it can be safely discarded. This permits, for the first time, a sharp and unambiguous evaluation of the relative performance of a large class of widely used HCCMEs. We also evaluate the existing studies in the light of our analytical calculations. Ad hoc choices of regressors and patterns of heteroskedasticity in existing studies resulted in ad hoc comparison. So there is a need to make the existing comparisons meaningful. The best way to do this is to focus on the regions of best and worst performance obtained by analytical formulae and then compare the HCCMEs to judge their relative performance. This will provide a deep and clear insight of the problem in hand. In particular, we show that the conclusions of most existing studies change when the patterns of heteroskedasticity and the regressor matrix is changed. By using the analytical techniques developed, we can resolve many questions: 1) Which HCCME to use 2) How to evaluate the relative performance of different HCCMEs 3) How much potential size distortion exists in the heteroskedasticity tests 4) Patterns of heteroskedasticity which are least favorable, in the sense of creating maximum bias. ii Our major goal is to provide practitioners and econometricians a clear cut way to be able to judge the situations where heteroskedasticity corrections can benefit us the most and also which method must be used to do such corrections. Our results suggest that HC2 is the best of all with lowest maximum bias. So we recommend that practitioners should use only HC2 while performing heteroskedasticity corrections.
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