Estimating the Data Region Using Minimum and Maximum Values

Estimating the Data Region Using Minimum and Maximum Values

Improvement in Estimating the Finite Population Mean Under Maximum and Minimum Values in Double Sampling Scheme

This research article, presents a ratio estimator for the estimation of finite population mean of the study variable under double sampling scheme when there is unusually low and unusually high values and analyzes their properties. The expressions for bias and MSE of the proposed estimator are derived up to first order of approximation. Also efficiency conditions are carried out with the other e...

Maximum Load and Minimum Volume Structural Optimization

A bi-criteria optimization is considered whose objectives are the maximization of the load sustained by a structure and the minimization of the structure's volume. As the objectives are conflicting, the solution to the problem is of the Pareto type. The problem is elaborated for a thin-walled column of cruciform cross-section, prone to flexural and torsional buckling. A numerical example is als...

Evaluation of estimating daily maximum and minimum air temperature with MODIS data in east Africa

Real time and spatially distributed Ta (air temperature) data are desired for many applications. Ts (land surface temperature) derived from remote sensors has been used to estimate Ta in previous studies. Exploring MODIS Aqua Ts and station measured daily maximum and minimum Ta over east Africa, we found that Ts did not agree well with Ta during the day (MAE (Mean Absolute Error) = 6.9 ± 5.0 ◦C...

Improved ratio-type estimators using maximum and minimum values under simple random sampling scheme

This paper presents a class of ratio-type estimators for the evaluation of finite population mean under maximum and minimum values by using knowledge of the auxiliary variable. The properties of the proposed estimators in terms of biases and mean square errors are derived up to first order of approximation. Also, the performance of the proposed class of estimators is shown theoretically and the...