افضل طرائق المعاينة في تقدير اعداد النخيل في محافظة البصرة == Optimum Sampling To Estimate Date Palm In Basrah Governorate
Author name:
حنان سعيد مالك الراوي
Supervisor name:
رفعت لازم مشعل الخميسي | عدنان شهاب حمد
General topic:
Administration and Economics
Specific topic:
Statistics
Degree:
Master
University:
University of Baghdad - Faculty Of Administration And Economics - Department Of Statistics
Language:
Arabic
University location:
Baghdad
First pages:
07T3579 - p.pdf
Abstract:
مما لاشك فيه ان لكل اسلوب من اساليب المعاينة مزايا ومبررات في استخدامه، وغالبا ماترتبط عملية اختيار اسلوب المعاينة بجانبين اساسيين، اولهما معيار التجانس بين المفردات سواء على المستوى الكلي ام على مستوى اجزاء(او مجاميع) من المجتمع، وثانيهما الامكانات المتا | There is no doubt that each technique of sampling techniques has advantages and reason for using it, and mostly the correlation of choosing sampling technique with a essential two sides, first of them is the standard of homogenous between units as for all population, and the second one is the abilities that are available to fulfills survey. And in using Stratified Random Sampling Technique in evaluating the suitable population to apply an important role to get a high efficiency estimator to compare with other Sampling design. As the target of this searching is to get the best ways that increase the accurate estimation of the Date Palms number in Basrah governorate and in using different kind of sampling estimator, the comparison has been done between the mean variance of Simple Random Sampling and the mean variance of the Stratified Random Sampling, and it is clear in the comparative results hat using Stratified Random Sampling give the best estimation. The determination of strata boundaries (strata formation) have interested role in obtaining efficient estimators, several strategies of strata formation were constructed, it is proved that the approximated frequency strategy at ?= ½ is the most efficient, researchers discussed developing this strategy through using different values of (?), or different sample allocations. In this searching three approximately frequency had been applied , and to divide the population into strata and point out the optimum limit strata, and the sample allocation has been determined by using Neyman distribution. And it is clear in the result that using the approximated frequency is the nearest and efficient to estimate the Date Palms number in Basrah governorate, by counting the Stratification mean variance and the stratification mean for the three approximated frequency. And the reason to know wither the Stratified Random Sampling is efficient and better than the Simple Random Sampling in evaluating the Date Palms number the experiment of the hypothesis between two population has been used, the results of that experiment show the difference between the two means that lead to reject the Null hypothesis and to accept the Alternative hypothesis, according to this the search recommended to use the Stratified Random Sampling according to the new divided stratification by using frequency, taking into consideration using Neyman distribution o determine sample size and sample allocation
