حروفِ استفامیہ پر مشتمل آیاتِ قرآنی کے اسرار و حکم
قرآن ِ مجید کثیر آیات میں جملہ استفہامیہ میں اللہ نے خطاب فرمایا جن میں سے کچھ آیات کی امثال پیش کی جاتی ہیں:
Molana Shah Hakeem Mohammad Akhter was born in 1923 in Partabgarh UP India. He received Medical Education from Unani Medical College Ellah Abad and Islamic Education under a great saint Shah Abdul Ghani Phoolpuri in Madrasa Bait ul Aloom. He was a born Sofi, an eminent Islamic scholar, a great philanthropist, an established writer and a great reformer. He wrote more than 200 books. He also established an Islamic University, Asharaf ul Madaris. Thousands of scholars are his pupils, followers and disciples. He imparted them both Aloom-e-Shareyat and Tareeqat. In 2001 he founded an Islamic NGO naming “Al-Akhtar trust International” for helping the suffering humanity. During these days society was ridden with un-Islamic trends and practices Shah Hakeem Mohammad Akhter emerged to rooted out these evils from the society. It will not be wrong to say that Shah Hakeem Mohammad Akhter like his spiritu-al mentor (Maulana Ashraf Ali Thanvi) was the real inherent of Ulama-e-deoband. The aim of this article is to present over view of biography and invalua-ble services which he rendered for tasawwuf and noble cause of humanity.
This dissertation is one of the steps towards the area of estimation of population variance using multi-auxiliary variables under multi-phase sampling scheme. This work mainly considers full, incomplete and no information cases about the auxiliary variables. The importance of estimation of finite population variance under multi-phase sampling along with some previously proposed estimators are discussed in Chapter 1. In Chapters 2 and 3, some ratio-type and regression-type variance estimators for estimation of population variance using multi-auxiliary variables for single interest variable are proposed. To the solution of multi-purpose surveys, few generalized multi-variate ratio-type and regression-type variance estimators are discussed in Chapters 4 and 5 respectively. Chapters 6 and 7 highlight the solution to the problem when multi-attributes is to be dealt for the estimation of population variance under multi-phase sampling. The measurement error in variable of interest is taken into account in Chapters 8 and 9 for the same estimators proposed in Chapters 2 and 3. The expressions for minimum mean square error for all proposed estimators are also derived. Some real data sets are used for efficiency comparison.