استخدام اسلوب البوتستراب في تحليل ‏النماذج المعلمية و شبه المعلمية ‏ و المقارنة بينهما ‏

Use The Bootstrap in Parametric ‎Models and Semi-Parametric ‎ Analysis and Comparison Between ‎Them

The Bootstrap is One of the Estimation Methods That is Based on the Principle of Resampling , It is the Resampling of a Sample Containing (n) of the Elements Retrieved Randomly from the Original Data (N), An Arithmetic Method Used to Determine the Accuracy Measurement for the Census Estimate, We Used this Method to Find More Accurate Estimates of the Models of the Parameter , One of the Oldest and Most Common Regression Models and Can be Defined as One of the Statistical Methods Used to Describe and Estimate the Relationship Between Random Variable and Random Variables Illustrative, For the Quality Parameter, Since these Models Have a Binary Response Variable, It Takes Two Values ​​(One at a Particular Event and 0 when the Event Does Not Occur), And the Logistic Regression Model is the Most Common Model of Binary or Qualitative Data Processing. The bootstrap in Finding Estimates for Semi-Parameter Regression Models, Which is Defined as a Regression Model, Includes Two Parts, One with Limited Dimensions and the other with Unlimited Dimensions, Including the Cox Regression Model Working to Determine the Relationship Between the Explanatory  Variables of the Phenomenon Under Study and the Dependent Variable that Represents the Times of Survival of the Variables Under Study .        

      These Statistical Methods Have Been Applied to Study the Relationship Between the Care Provided to the Patient During the Patient’s Stay in the Hospital and Between Smoking, Sex, Age and Weight by Simple Random Sample Size Pull (182) Infected with Stroke People from the Al-Husseini Hospital in the Holy City of Karbala During the Period (2014 -2015) Using a Specimen Traditional Logistic Regression and Bootstrap and Specimen Decline of the Traditional Cox and Bootstrap, Identifying any of those Factors (Smoking, Sex, Age, Weight) the Most Impact on the Patient’s Survival in the Hospital, and Clarify the Impact of the use of Style Bootstrap on Standards Specimen Teachers Logistical and Semi-Parametric Cox, and then Compared the Results with the Real Data is Real (Generated) in Order to See which Gives a Clear Image of the Phenomenon.                                                                 

     And Research Findings that the Use of Bootstrap Method Gives More Accurate Results, and that the Specimen Logistic Regression Bootstrap Real Data is the Best Specimen in the Representation of the Data.