Abstract: In our application practice of sample survey, we mostly neglect some non-sampling errors such as sampling frame errors. Actually, the influence of non-sampling errors to the total survey deviation can not be ignored. In view of this topic, this paper briefly discussed the sampling frame

Of 1000 respondents in a face-to-face survey, 22 % did not live in households listed in telephone directories, and therefore could not have been included in a sample using telephone directories as a sampling frame. Those not listed were significantly younger, more likely to be never married

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Abstract Last population census in Bosnia and Herzegovina (BiH) was in 1991, exactly one year before the war. In the post-war period, statistical institutes of BiH faced sampling frame problems at the very beginning of survey preparation activities, because there was neither population nor

confluence with ocean including inland waterways and major embayments such as Florida Bay and Cape Cod Bay.

There are a few sampling methods available to survey households in situations where sample frames are either unavailable or are unreliable. The most popular of these methods is the expanded programme of immunization (EPI) sampling method, which has been used in low-income countries. The purpose

In an inventory designed to deliver information for the Montreal Process, flexibility and stakeholder confidence may be more important than questionable estimates of statistical efficiency. One candidate for a continental sampling frame could involve stratified random sampling with point samples

multi-dimensional flexible sampling frame with internal hierarchy which is laid out on a stream channel by one Team in one

Abstract. Background subtraction is a method typically used to seg-ment moving regions in image sequences taken from a static camera by comparing each new frame to a model of the scene background. We present a novel non-parametric background model and a background subtraction approach. The model

be computed quickly, making it suitable for large data sets. Our implementation, written for use in a large-scale 3D digitization project, launches quickly, maintains a user-settable interactive frame rate regardless of object complexity or camera position, yields reasonable image quality during motion