مفتی عتیق الرحمن صاحب عثمانی رحمۃ اﷲ علیہ
دوبرس ہاں دوبرس پہلے کی بات
آرہی ہے خودبخود ہونٹوں پہ آج
تھااِسی ماہ مئی میں بارہ کا دن
جب ہوا تھاشیخ کایومِ وفات
اُن کا مسلک تھاہر اک کی عافیت
خویش ہو یا غیر ہو سب کا بھلا!!
بعدازختمِ قرآنِ کریم اور درود،فاتحہ خوانی نیز دعائے مغفرت اورتعزیت کے ایصالِ ثواب برائے روحِ پاک جناب مفتی عتیق الرحمن صاحب عثمانی ؒ ساکن کڑانظام جامع مسجددہلی، منجانب مدرسہ دارالاصلاح شاہی مسجد بارگ والی سُوہنہ ضلع گوڑگانوہ ہریانہ برموقعہ اُن کی دوسری برسی بتاریخ ۱۲؍مئی ۱۹۸۶ء بمطابق ۲؍رمضان المبارک (۱۴۰۶ھ)
مرحوم جناب مفتی عتیق الرحمن صاحب عثمانی رحمۃ اﷲ علیہ علم وانسانیت کے آفتاب کسرِ نفسی کے جوہرِ انسانیت کے چراغ اﷲ کے عاشق، رسول کے شیدا، فدا کارِ ملّت غرباء پرور، بیکس نواز قوم گیر ملّت ساز، خدا ترس، رحم دل، مشفق، شفیق، انکسارِ سادہ منکسر المزاج، علاوہ ازیں وہ بہت سی خوبیوں کے مالک تھے۔ بالخصوص قوم کے ایک ایسے ممتاز ہردلعزیز سچّے قائد جن کی شہرت دہلی سے گزرکر باہر بیرون میں پورے ملک اور ملک سے باہر دورتک پہنچ رہی تھی جس کی بناء پر ان کی زندگی دن بدن روشن ہوتی جارہی تھی اور جس کی وجہ سے اُن کانام اورکام ہمہ گیر اہمیت کامرکز بناہوا تھالہٰذا اسی لیے آج بھی پوری ملّت اُن کے لیے سر پیٹ رہی ہے اور پیٹتی رہے گی۔
دراصل حقیقت یہ ہے کہ مخلص مجاہد، دانشور ،مدبّر، مفکّر، مبلّغ اورسچّا قائد کہ یہ ایسی شخصیتیں ہیں جن کے حسین کردار اور اعلیٰ کارناموں میں ملّت کے وجود کی ضمانت پوشیدہ ہے لہٰذا اسی لیے یہ شخصیتیں ملّت کے لیے حاصلِ عمرکی حیثیت رکھتی ہیں۔افسوس کہ آج ہم ایسی ہی عظیم شخصیت سے جناب مفتی عتیق الرحمن صاحب عثمانی ؒ سے محروم ہوکر اُن کے سوگ میں بیٹھے...
Raja Abon Makmur Lestari's business has good potential, resulting in considerable business competition. One of the businesses that produce shredded is Small and Medium Enterprises (UKM) Raja Abon Makmur Lestari. This business must apply a consumer-oriented marketing concept. The application of this concept is to determine the marketing mix consisting of product, price, promotion, and place. The purpose of this study was to analyze consumer assessments of the various attributes of shredded products and evaluate the results of the shredded product marketing mix strategy. The method used in this research is descriptive analysis, with the 4P marketing mix approach. The marketing mix strategy evaluation design involves internal parties, namely business owners, and external parties, namely consumers. The results of the discussion show that consumer assessment of products has guaranteed quality, consumer ratings of prices are in accordance with quality, consumer assessments of shredded product distribution are easy to obtain and consumer assessments of promotion by word of mouth are very efficient and easy to get information on social media. The evaluation results of the marketing mix for shredded products are in the range of 101-125. Based on this total value, it can be concluded that all the variables of the marketing mix carried out by the king of shredded and prosperous sustainable have been effective.
Regression analysis is widely used in manyelds such as economics,nance, technology and social sciences. A linear regression model describes the relationship between dependent variable and one or more regressors. A problem named multicollinearity is the existence/presence of nearly linear dependency among regressors. The existence of severe multicollinearity questions the accuracy of the parameters estimate in a linear regression model, because the variance of the ordinary least square estimator (OLSE) would be large enough. Therefore, detection of multicollinearity can be considered asrst step for giving solution of this problem. There are several indicators (diagnostic measures) for the quanti cation of collinearity among regressors available in the literature. Widely used and the most suggested diagnostics are values of pair-wise correlations among regressors, overall R2, VIF and tolerance limit, eigenvalues, condition number and condition indices etc. However, there is no unique method that can detect and measure the existence and strength of multicollinearity in data. For remedy or reduction of collinearity among regressors, biased estimators are suggested such as the ridge and Liu estimators in literature and are alternative to the OLSE. These alternative methods also improve the accuracy of the parameter estimates of linear regression models. The biased methods resemble each other and are based on similar principals. In this study, we propose two new detection methods for indication of collinearity vi existence and developed 3 packages in R language namely mctest, lmridge and liureg. The package mctest computes already existing collinearity diagnostic measures and our proposed measures. We also compare existing and our proposed collinearity diagnostics measures for the detection of collinearity existence among regressors. Our proposed collinearity diagnostics not only perform well for simulated but also for real collinear data sets. For computation and detection of existence of collinearity mctest package can be used. The package contains functions omcdiag for computation of overall and imcdiag for individual collinearity diagnostics as described in Chapter 3, Section 3.5. For estimation and testing of ridge coe cients, the ridge package lmridge can be used to compute ridge coe cients, di erent existing biasing parameters available in literature and testing of ridge coe cients with 15 ridge related statistics such as R2, adjusted-R2, mean square error and e ective degrees of freedom etc. Similarly, estimation and testing of Liu coe cient can be done using package liureg package. It computes biasing parameters from (Liu, 1993) and the Liu related statistics. In addition, numerical comparisons between existing estimator of ridge and Liu are also done by using existing collinear data set from Hald (1952), Longley (1967) and Malinvaud (1968).