Complex Sample Survey Designs

  Ratio Estimator in Stratified Sampling                                                                 - Rohan Regi (2148111) Introduction: The ratio estimator is a statistical parameter that equals the ratio of two random variables' means. When ratio estimates are utilized in experimental or survey work, they must be corrected for bias. Because the ratio estimates are asymmetrical, symmetrical tests like the t test should be avoided when generating confidence intervals. Under various scenarios, the ratio estimator was found to be more exact than the traditional sample mean estimator in calculating the population mean of the studied character. Several academics have shifted their focus to finding more exact estimates by exploitin...

  ESTIMATING BOLLYWOOD BOX OFFICE REVENUE USING RATIO AND  REGRESSION ESTIMATOR   LAXIA VIOLA PEREIRA          2148139      

 Comparison of Separate and Combined Ratio Estimators in Stratified Sampling - Ameya Sandeep Pange (2148119) Introduction : Stratified random sampling is a method of sampling which is employed when the population units have diversity among them. Most of the time, real-word data is observed to have such heterogeneity. This sampling technique involves the division of a heterogeneous population into smaller homogeneous sub-groups known as strata. Random samples are then selected from each stratum using Simple Random Sampling Without Replacement. Ratio Estimation :- If we have two variables defined for the population such that they are highly correlated and one variable can be treated as auxiliary information to estimate the variable of interest then, we implement the method of ratio estimation. In this technique, the knowledge of the population aggregates or average is used along with the sample ratios of the auxiliary and target variable to the estimate the population paramete...