This paper suggests a modified new ratio-product-exponential imputation procedure to deal with missing data in order estimate finite population mean simple random sample without replacement. The bias and squared error of our proposed estimator are obtained the first degree approximation. We derive conditions for parameters under which has smaller than mean, ratio, product estimators. carry out ...

The Least Mean Square (LMS) algorithm, introduced by Widrow and Hoff in 1959 [12] is an adaptive algorithm, which uses a gradient-based method of steepest decent [10]. LMS algorithm uses the estimates of the gradient vector from the available data. LMS incorporates an iterative procedure that makes successive corrections to the weight vector in the direction of the negative of the gradient vect...