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جان ون سنک

جان ون سنک کا انتقال
لیڈن کے مشہور مستشرق ڈاکٹر ایرنٹ جان ون سنک کا گزشتہ ستمبر میں انتقال ہوگیا، یوروپین مستشرقین میں ڈاکٹر موصوف کے علم و فضل کا پایہ نہایت بلند تھا، وہ ۱۸۸۲؁ء میں پیدا ہوئے، ۱۹۱۲؁ء میں لیڈن یونیورسٹی میں عربی کے لکچرر مقرر ہوئے، اور پھر ۱۹۲۷؁ء میں اس کے شعبہ عربی کی صدارت تفویض ہوئی، وہ انسائیکلوپیڈیا آف اسلام کے چیف اڈیٹر بھی تھے۔
ان کو شروع میں سامی زبان سے بڑی دلچسپی تھی، چنانچہ انھوں نے سامی علاماتی تخیل پر بہت سے مضامین لکھے، اس کے بعد وہ سریانی زبان کی طرف مائل ہوئے اور اس زبان کے صوفیانہ لٹریچر کا گہرا مطالعہ کیا اور برہیرس کی Book of Dove اور Mystical Treatises of Isaac of Ninerer کا ترجمہ کیا، پھر سریانی زبان کے صوفیانہ لٹریچر کے نئی معلومات کے نام سے ایک کتاب بھی لکھی۔
مگر وہ اسلامیات کے ایک مستند عالم کی حیثیت سے زیادہ مشہور تھے، فن حدیث پر انھوں نے مندرجہ ذیل کتابیں لکھیں:
(1) Mohammeden de joden te Medina.
(2) Handbook of early Muhamaden tradition.
(3) Concordonce et Indices de la tradition Masulmane.
(4) The Muslim Creed.
انسائیکلوپیڈیا آف اسلام میں مختلف موضوع پر ان کے مضامین بکثرت ہیں۔
(صباح الدین عبدالرحمن، مارچ ۱۹۴۰ء)

 

المنھج اللغوي في التفسير و تاريخه

The Holy Quran was revealed in Arabic Language, it is, therefore necessary to seek Arabic Diction to gain the direct guidance from it. The companions of Holy Prophetr, Tabeen, and the reverent Imams strictly rebuked those interpreters who interpret the Holy Quran without having command over Arabic Language. The verses of Quran that are clear in comprehension, explicit and easy, do require the source of interpretation as “Arabic Diction”. This method highlights the positive trends to Arabic Diction. But in the matter of ambiguity and resemblance in verses and deduction of Masael, this Diction will be given second priority. Mere Diction and Arabic Socio-Diction may not be titled as most authentic. Diction is not the ‘last word. ’ The very first priority will be given to the verses of Quran, Hadith e Nabvi and Quotations of Companions of Holy Prophetr. The companions themselves were the native Arabs but they used to do consult some Quranic terms with the Holy Prophetr. As time passed, some strayed sects and atheists ignored this positive trend (Tafseer-bil-Mathur), and accustomed a new trend of interpretation of Holy Quran i. E. Depending upon Arabic Diction only so that they may endorse their own thoughts. It was a negative source of interpreting the Holy Quran i. E. Only by Arabic Diction. The present article explores its historical perspectives after evaluating its negative trends. The Motazila sect got this trend nourished. The representing interpretations of Holy Quran of this trend have been analyzed in this article. At the end, Molana Ameen Ahsan Islahi’s approach to Diction and his Tafseer ‘Tadabbur e Quran’ has been evaluated.

Detection of Outlying Observations Using the Dixons Approach

Extremely deviating outcomes, in the sample are termed as outliers, they give faulty measures and the results in wrong directioned conclusions. The backbone of this work is based on the study of outliers, categorized here into Static and Dynamic models. Concerning the ’Static Statistical Distributions’, a novel approach for normally distributed data had been developed by J. W. Dixon in 1950’s. The first half of the study uses the same idea by arranging the data set in ascending order for the particular cases where samples are comming out of either • Uniform distribution, or • Exponential distribution. For the procedure of hypothesis testing, the percentage points have been constructed separately for both distributions. Comming towards the second half, ’the Dynamic models’, main concern of the study is on Box and Jenkin’s model. Additive white noise in time discrete differential equation as a special case of ARMA(p, q) model has been considered. The special form of variancecovariance matrix enable us to develop a new procedure for the detection of outlier while working with Poisson Process. The likelihood estimation, originally proposed by Fox (1972) has been used with the assumption of known autoregressive parameters. Through the characteristic function, the distribution of the test has been evaluated. For unknown autoregressive parameters, Yule-Walker and Whittle estimation procedures have been discussed briefly. ’Kalman Filtering’ recursive method opens broader ways for the parameter estimation as well as for outlier detection. Some supporting practical examples for the new test have also been discussed.
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