= Some of the history of a monthly sales and revenue survey, and the current status of that survey and others, are given as background to changes now being implemented. Sampling will now take place at the State level, instead of the national level; more complete use will be made of auxiliary information; work has been done to control cv's for several variables simultaneously; and a test origina...

This study assesses the effectiveness of stratification, based on photo-interpreted forest types, for strategic inventory. It uses results (from stratified sampling) for Total Merchantable Volume (TMV) in 18 Inventory Areas in Tasmanian State forest. The variance of the TMV as determined from stratified sampling is compared with the estimated variance of a simple random sample using the same nu...

We examine technical aspects of surveying nonprofits to determine whether inferences about characteristics of the sector depend on how samples are drawn. We use a stratified sampling design drawn from a comprehensive database of Indiana nonprofits to address two key methodological questions faced by nonprofit researchers: (1) how do major nonprofit sampling sources compare in terms of survey ef...

Supporting sampling in the presence of joins is an important problem in data analysis. Pushing down the sampling operator through both sides of the join is inherently challenging due to data skew and correlation issues between output tuples. Joining simple random samples of base relations typically leads to results that are non-random. Current solutions to this problem perform biased sampling o...

We consider a multiperiod system operation problem with two conflicting objectives, minimizing cost and risk. Risk stems from uncertain disruptions to the system during operation. While a general model would hedge against disruptions in each time period, we study special cases in which only a modest number of disruptions occur. To optimize for risk, we employ a convex approximation based on con...

In two-phase sampling, the second-phase sample is often a stratified sample based on the information observed in the first-phase sample. For the total of a population characteristic, either the double-expansion estimator or the reweighted expansion estimator can be used. Given a consistent first-phase replication variance estimator, we propose a consistent variance estimator that is applicable ...

Shyness and loneliness both are very common in human being. Loneliness is often associated with a variety of personality characteristics which interfere with the formation of interpersonal relationship. In many studies it is found that shyness and loneliness are interrelated with each other. The present study was conducted on college students. The sample size consists of 60 college students (30...

Recent development of the empirical likelihood method in survey sampling has attracted attention from survey statisticians. Practical considerations for using the method in real surveys depend largely on the availability of simple and efficient algorithms for computing the related weights for the maximum empirical likelihood estimators. In this article we briefly describe the modified Newton-Ra...

PracTools is an R package with functions that compute sample sizes for various types of finite population sampling designs when totals or means are estimated. One-, two-, and three-stage designs are covered as well as allocations for stratified sampling and probability proportional to size sampling. Sample allocations can be computed that minimize the variance of an estimator subject to a budge...

Globalisation is a phenomenon that cannot be avoided. As globalisation allowed free flow of inputs including labour, it may affect job opportunities for the locals. Therefore, investigate the determinants of labour supply is essential in understanding the structure of labour market in the new era of globalization. The objective of this article is to examine labour supply by taking into account ...