Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

SampTA2017 is the 12th International Conference on Sampling Theory and Applications It is a biennial interdisciplinary international conference for mathematicians, engineers, and applied scientists, with previous meetings in Riga (Latvia), Aveiro (Portugal), Loen (Norway), Orlando (U S A), Strobl (Austria), Samsun (Turkey), Thessaloniki (Greece), Marseilles (France), Singapore, Bremen (Germany), and Washington (USA) The main purpose of SampTA is to exchange recent advances in sampling theory and to explore new trends and directions in the related areas of application The conference focuses on such fields as signal and image processing, compressed sensing, coding theory, control theory, computational neuroscience, information theory, real and complex analysis, and applied, computational, and classical harmonic analysis SampTA 2017 will feature 9 plenary speakers, 9 special sessions, 9 general sessions, and a poster session Paper submissions on any of the above topics are welcomed.

Sampling (Statistics)

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

Survey Weights: A Step-by-Step Guide to Calculation is the first guide geared toward Stata users that systematically covers the major steps taken in creating survey weights. These weights are used to project a sample to some larger population and can be computed for either probability or nonprobability samples. Sample designs can range from simple, single-stage samples to more complex, multistage samples, each of which may use specialized steps in weighting to account for selection probabilities, nonresponse, inaccurate coverage of a population by a sample, and auxiliary data to improve precision and compensate for coverage errors. The authors provide many examples with Stata code. --

Sampling (Statistics) --- Population

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

Sampling (Statistics) --- Mathematical statistics.

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

This paper describes the design of a multi-stage stratified sample for the Bangladesh Household Income and Expenditure Survey 2016/17. This survey instrument will be used by the Government of Bangladesh to estimate reliable poverty and welfare statistics at three different levels: (i) annual estimates at the district level, (ii) quarterly estimates at the national level, and (iii) annual estimates at the division level for urban and rural areas. The sample for this survey was designed to achieve these three objectives. The paper explains how the three objectives are prioritized and how inconsistencies in achieving more than one objective can be reconciled. Further, the paper modifies the standard formulas to estimate the optimal sample size and the allocation of the sample across strata by explicitly taking into consideration the effect of clustering in the sample.

Household Surveys --- Poverty Measurement --- Stratified Clustered Sampling

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

Professor Eric Jensen and Professor Charles Laurie present a thorough introduction to sampling in both qualitative and quantitative research. They discuss various methods, best practices, and pitfalls to avoid to produce consistent and high quality research.

Sampling (Statistics) --- Social sciences --- Research --- Statistical methods.