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اجوکا سماج تے سلطان کھاروی

اجوکا سماج تے سلطان کھاروی

منکھ تے سماج دا آپسی تعلق ڈھیڑ گوہڑا تے پرانا اے ۔منکھ سماج وچ اپنی ہو ند تے پہچان نوں سب توں وکھرا برقرار رکھن لئی کئی کم کر دا ہے ۔کدے ایہہ کم سماج لئی لائحے وند ہوندے نیں تے دوجے منکھ ایہناں توں لابھ چکدے نیں ۔منکھ کئی واری حیاتی گزار دے ہوئے اجیہے کم وی کر جا ندا اے جو اوس دی اپنی ذات تے سماج لئی لائحے وند نہیں ہوندے ۔ ایس دے سٹے اوس دی اپنی ذات تے سماج اتے بھیڑے پیندے نیں ،سٹے وجھوں سماج اندر کئی اوکڑاں تے برائیاں دا جنم ہو ندا اے ۔فیر ہو لی ہو لی سارا سماج اوکڑاں دا شکار ہو برائیاں دے کلاوے وچ آ جاندا اے ایہناں اوکڑاں تے برائیاں دا سدھے یا ان سدھے طور اتے منکھی وطیرے تے وی اثر پیندا اے ۔ شاعر کیوں جے سماج دا حساس ترین منکھ ہوندااے ایس لئی اوہ ایہناں دا اثرات نوں اپنی شاعری راہیں بیان کرن دا جتن کر دا اے ۔

سلطان کھاروی وی ایہناں کویاں وچوں اک کوی ہے جو سماجک گھٹناواں نوں اکھوں اوہلے نہیں کر دا۔ سگوں ان جھک ہو کے شعراں راہیں بیان کر کے نہ صرف لو کائی نوں ایہناںبارے جانکاری دیندا اے سگوں ایہناں خلاف لوکائی وچ نفرت پیدا کر ن دا جتن وی کر دا اے۔ آپ نے سماجک ،دھارمک ، راج نیتک توں وکھ جنہاں اوکڑاں تے برائیاں دا ذکر اپنی کوتا وچ کیتا اے ۔ اوس دا جائز ہ انج اے ۔

کسے وی دیس دی ترقی لئی اوتھے دی رج نیتک حالت دا چنگا ہونا بہوں چنگا جانیا جاندا اے۔ امن و امن دی صورت چنگی ہوون کارن سماج اندر ہر قسم دی ترقی ہووے گی ۔عدل و انصاف...

عظیم شخصیات کے اوصاف وخصائص: سیرت طیبہ کی روشنی میں

Great lineage, good manners, trustworthiness, sincerity, courage and bravery, obedience, generosity, modesty, humility, thankfulness, absolute trust in Allah, education and upbringing, affection and compassion towards the elderly, the youth, slaves and animals, the regard for truth, the endurance and patience etc. Are such features that at them neither was the match for the Holy Master (saw) born, nor will any such person be ever born. In addition, let alone friends, his enemies were helpless to hold him as-Sadiq (the Truthful) and al-Ameen (the Trustworthy) due to these and many other great attributes; and they would say: Muhammad is not a liar at all, but we can’t believe in him as a prophet sent by Allah. Moreover, even a non-Muslim or polytheist has never criticized his character to this day, nor will anybody do till the judgment day. Whenever the greatest personalities of the world were listed or somebody committed to writing on the said topic, the Holy Prophet (saw) remained at the top of the list. Drawing of the swords of father and son against each other, the change of the standard of friendship and enmity, fighting of master and his slave against each other, chanting the slogan of Ahad-Ahad (the only One, the only One) on the blazing sand, giving priority to martyrdom over the utterance of a word of unbelief, taking a husband away from his wife and separating a mother from her infant, deforming the condition after a blasphemous blow on the blessed face, forced migration to Habsha (Abyssinia) at times, and laying siege to Shb-e-Abi Talib (the valley of Abi Talib) at times.

Recent Advances in Detecting Outliers in Moment Distributions

The study of outliers is one of the challenges existed for at least several hundred years. Outliers are the observations which are stranger from the bulk of data. Sometimes outliers may not be noticed but most of the times they can change the entire statistical data analysis. At the earlier stage of the data analysis, summary statistics such as the sample mean and variance, outliers can cause totally different conclusion, e.g. a hypothesis may or may not be rejected due to outliers. In fitting regression line outliers can significantly change the slope and 2R . If the detection of outliers is not done properly before data analysis then it may lead to model misspecification, biased parameter estimation and incorrect results. It is therefore pertinent to identify the outliers prior to proceed further for analysis and modeling. Much work has been done in Univariate probability distributions. The objective of this study is to develop the methods which are used to detect the outliers in Univarite Moment Distributions. Two discordancy tests are developed to detect the single and two outliers from data characterized by Moment distributions. The exact distribution of developed tests does not exist, therefore for finding the Tables of critical values simulation study was used. The Tables of critical values are developed at 5% and 1% level of significance by means of a simulation study.Applications of two other methods which are based on sample skewness and Kurtoses have been extended to detect the outliers in Moment distributions. The Tables of critical values are also generated for these two methods at 5% and 1% level of significance on the basis of a simulation study. The performance rates of four methods are found at various sample sizes by means of a simulation study. It is worth mentioning that methods ?1 and ?2 only indicates the presence of outliers in the data, while methods ?1 and ?2 not only identify the presence of outliers but also specify the particular outliers.
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