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ول وطناں موڑ مہاراں

ول وطناں موڑ مہاراں
مڑ آیا سماں بہاراں
کھڑے پھل نیں رنگ برنگے
پنچھی کر دے کوک پکاراں
طوطے، کونجاں، گھوگیاں، گیاں
ہن نظر نہیں اوندیاں ڈاراں
اج نِکّی نِکّی گل توں
بندے چھک لیندے تلواراں
ہک پیار نہیں تیرا بھلدا
سانوں ہور نیں دکھ ہزاراں
پڑھ لکھ درود نبیؐ تے
رب بخشے اوگنہاراں

معروف معالجاتی اقسام کا اسلامی تعلیمات کی روشنی میں تحقیقی و تجزیاتی مطالعہ

Kindness is the attribute of Almighty Allah, which is mentioned many times in the Holy Quran. Prompt relief a disease is also an aspect of the kindness of almighty Allah. Treating an ill person is appreciated and preferred significantly in Islam. This article discusses the Islamic jurisdiction of the various forms of treatment and medication, prevailing in the society. Prior to the juristic discourse, the paper gives detail of the medications including the verdicts of renowned scholars along with their parameters and valuable. Cure and timely is concern of every individual of the society. It is obviously significant to educate the masses about the nature and various religious issues regarding medication practices with regard to teachings of Islam.

Modified Approaches for Randomized Response Models in Survery Sampling

The social survey is one of leading mechanism to measure attitudes, behaviors and opinion soft hehumanpopulation. Oftenrespondentsprovideevasiveanswersaboutsensitive questions. A major cause of non-response and evasive answer are Social Desirability Bias (SDB). It is the idiosyncrasy created by interviewee in answering stigmatize questions unfaithfully in the desire of leaving good impression on the interviewer. Randomized Response Technique (RRT) is one of the leading method to circumvent social desirability bias in personal interview surveys. Randomized response techniques are used to collect trustworthy data, to keep the interviewee privacy, and to evade non-response rate when the asked information is sensitive (e.g., drug use, concerning racism, abortion, delinquency, AIDS, or academic cheating). Mostly, in surveysthestandardRRtechniquesareemployedthatrequireabinaryresponsetoasensitive question, to estimate the proportion of people bearing sensitive characteristics. Furthermore, RRT models allow respondents to mask their actual response by giving a scrambled response which offering them complete privacy, as the researcher is able to unscramble responses at an aggregate level but not at an individual level. In this thesis, we developed two-stage, optional and scrambled RRT models under simple random sampling. The utility of proposed RRT models are also explored in stratification, two-stage cluster sampling and stratified two-stage cluster sampling . Efficiency comparisons of proposed estimators are obtained to observe the performance of the estimators. In Chapter 2, we proposed two-stage RRT models to estimate the proportion of stigmatized attribute. In Chapter 3, we proposed optional RRT model to estimate the prevalence of stigmatized attributeandsensitivitylevel. InChapter 4, wepresent two-stageRRTmodels toestimate the mean number of persons possessing a rare sensitive attribute using the Poisson distribution. In Chapter 5, a new scrambled randomized response (SRR) model has been proposed for estimating the population mean of a sensitive variable in presence of scrambled response. In Chapter 6, new partial SRR model has been proposed for estimating the population mean of two quantitative sensitive variables simultaneously. In Chapter 7, we developed Bayes estimators of optional unrelated question RRT model.
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