مولانا سید شاہ رضوان اﷲ قادری مجیبی
افسوس ہے کہ خانقاہ مجیبیہ پھلواری شریف پٹنہ کے سجادہ نشین مولانا سید شاہ رضوان اﷲ قادری مجیبی ۳۱؍ دسمبر ۲۰۰۳ء کو وفات پاگئے، اِنا ﷲ وَاِنا اِلیہ رَاجِعونْ۔
ابھی عمر کی جس منزل میں وہ تھے، یہ جانے کے دن نہیں ہوتے لیکن مشیت الٰہی میں کس کا دخل؟ موت کا تو وقت مقرر ہے، فَاِذَا جَآءَ اجلُھُمْ لَا یستَأخِرُونْ سَاعۃ وَّلَا یستَقْدِمُوْنَ۔[الاعراف:۳۴]
خانقاہ مجیبیہ کا علمی و روحانی فیض مدت دراز سے جاری ہے، شاہ صاحب اس کی قدیم روایات اور اپنے عالی مقام اسلاف کی خصوصیات اور خوبیوں کے حامل تھے اور خود بھی ایک صاحب فیض عالم اور ذاکر و شاغل بزرگ تھے، ان کی ذات سے ہزاروں طالبین و سالکین فیض یاب ہورہے تھے مگر اب تزکیہ و اصلاح اور ارشاد کا یہ سرچشمہ بند ہوگیا۔
ان کو تقویٰ و اخلاص، صوم و صلوٰۃ کی پابندی، سادگی و درویشی اور خوش مزاجی و خوش خلقی ورثے میں ملی تھی، راقم کو دو تین بار ان کی خدمت میں حاضری اور ان کی پاکیزہ سیرت اور مطہر زندگی کے جلوے دیکھنے کا اتفاق ہوا، ہر بار نہایت خندہ پیشانی سے ملے اور لطف و کرم سے پیش آئے، اﷲ تعالیٰ ان کے درجات بلند کرے اور پس ماندگان کو صبر جمیل عطا کرے، آمین۔
(ضیاء الدین اصلاحی، فروری ۲۰۰۴ء)
Throughout the history humanity has witnessed many ups and downs. There might have been many eras of moral lawlessness in which humanity might have suffered from lack of moral character, civilization, lack of social norms and values and many such things. But in the present era social media has emerged as a very sharp sword which has destroyed social values, norms and morality. It has proven destructive to a unprecedented level. Sometimes people share news about a person without conformation and on other times people destroy human shapes and give them resemblance with animal shapes and then share them on social media by way of comparison between human and animals. Insulting political opponents, playing with honor and dignity of others, humiliating others have become a game to play for people on social media. Many users of the social media think that there is no respect for others at all so they don’t hesitate from humiliating people. For them the only act worth doing is to protect the so called respect of the leader they follow and love. They are ready to cross any limit for this. While doing all this they forget anything and everything about civility, morality, and social values etc. Someone has quite rightly said that good character is proof of good blood. While using social media one is in fact representing one’s family and blood. According to statistics 58% of the whole population of our country consists of young people the majority of which is so much attached and engrossed with the use of social media that they are oblivious of what is going around them. The spell of social media has bound people in the galleries of hospitals, pathways, passengers, and in educational institutes. So much so that even in homes, social media has preoccupied people to an extent that they damn care for the people living in the same home with them. There is value for a friend on social media but there is no value for a person sitting very next to them. A young man is busy and engaged with a so called sister on social media but his real sister is seen tantalized for his care and affection. In the university students miss out lectures of teacher but want to learn things from google and social media. This is the dilemma of the current age. The use of social media has taken people far away from the people sitting and living very close to them. Now the young generation has options i.e. Positive or negative use of social media. Your face book account, your profile is reflective of your personality. Any visitor, while visiting your profile and account will have your whole personality open up to him. Difference of opinion is permitted and appreciable thing but it should be done within limits. The current research paper is an attempt to cover up all these things and to see the Islamic teachings about the use of social media. How to open an account on social media, how to share pictures on it either self or that of others, sending friend requests and accepting them? These and other related issues will be discussed in the present paper in the light of Islam.
M-estimators are used as a robust replacement of the general classical estimators used in the field of statistics. Redescending M-estimators are those estimators which reject the extreme values completely. In the first project, a new redescending M-estimator “Uk’s redescending M-estimator” for robust regression and outlier detection has been presented which provide protection against outliers. Moreover, the y -function of the Uk’s estimator is closer to being linear in the central segment before it redescends. Simulation studies show that Uk’s Redescending M-estimator is more efficient than the other estimators. We also have applied the estimator to the real world data taken from the literature. The newly developed Uk’s Redescending M-estimator provides a general idea to interconnect all the Redescending M-estimators with that of the idea used in Andrews sine function. A couple of which has been solved and the rest are under study for the mathematical solution. Bootstrap distribution of the new redescending estimator has been derived for real data sets. The second project explains the application of the newly developed redescending M- estimator to time series forecasting in the presence of outliers. A comparison is made for the forecasted values using the robust estimation procedure and without using robust approach in the presence of outliers. In case when the response variable (dependent variable) is the function of its own lagged values as an explanatory variable (independent variable) or when the response variable is the function of its own lagged value in addition to other different explanatory variables, then such a model is called time series model. The third project is about exponential smooth transition autoregressive models in time series. Exponential Smooth Transition Autoregressive (ESTAR) models can capture non-linear correction of the deviations from equilibrium conditions which may explain the economic behavior of many variables that appear non-stationary from a linear viewpoint. Many researchers employ the test of Kapetanios et al. (2003) that has a unit root as the null and a stationary nonlinear model as the alternative. However, this test statistics is based on the assumption of normally distributed errors in the DGP. Cook (2008) has analyzed the size of the nonlinear unit root of this test in the presence of heavy-tailed innovation process and obtained the critical values for both finite variance and infinite variance cases. However, the test statistics of Cook are oversized. Pavlidis et al. (2010) find that using conventional tests is dangerous though the best performance among these is a HCCME used by Mackinnon and white (1985). The over sizing for LM tests can be reduced by employing fixed design wild bootstrap remedies which provide a valuable alternative to the conventional tests. The size of the Kapetanios et al. test statistic employing hetroscedastic consistent covariance matrices has been derived and the results are reported for various sample sizes in which size distortion is reduced. The properties for estimates of ESTAR models have been investigated when errors are assumed non-normal. We compare the results obtained through the fitting of nonlinear least square with that of the quantile regression fitting in the presence of outliers and the error distribution was considered to be from t-distribution for various sample sizes.