Ratio estimation in poststratified sampling over two occasions

Search of Good Rotation Patterns through Exponential Type Regression Estimator in Successive Sampling over Two Occasions

The problem of estimating the finite population mean on the second (current) occasion in successive sampling over two occasions has been discussed. Utilizing all the readily available information from first and second occasions, an efficient estimation procedure through exponential type regression estimator has been developed. It has been shown that the proposed procedure is more efficient than...

Estimating quantiles under sampling on two occasions with arbitrary sample designs

A practical problem related to the estimation of quantiles in double sampling with arbitrary sampling designs in each of the two phases is investigated. In practice, this scheme is commonly used for official surveys, in which quantile estimation is often required when the investigation deals with variables such as income or expenditure. A class of estimators for quantiles is proposed and some i...

Weighted Likelihood Estimation under Two-phase Sampling.

We develop asymptotic theory for weighted likelihood estimators (WLE) under two-phase stratified sampling without replacement. We also consider several variants of WLEs involving estimated weights and calibration. A set of empirical process tools are developed including a Glivenko-Cantelli theorem, a theorem for rates of convergence of M-estimators, and a Donsker theorem for the inverse probabi...

Two Phase Sampling for Wheat Acreage Estimation

PDFOS: PDF estimation based over-sampling for imbalanced two-class problems

This contribution proposes a novel probability density function (PDF) estimation based over-sampling (PDFOS) approach for two-class imbalanced classification problems. The classical Parzen-window kernel function is adopted to estimate the PDF of the positive class. Then according to the estimated PDF, synthetic instances are generated as the additional training data. The essential concept is to...