Examples of 'non-sampling errors' in a sentence
Meaning of "non-sampling errors"
non-sampling errors: Non-sampling errors are inaccuracies or errors that occur in data collection and analysis processes, excluding those that arise from sampling
How to use "non-sampling errors" in a sentence
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non-sampling errors
These are all examples of non-sampling errors.
Non-sampling errors are errors that are unrelated to sampling.
These errors are commonly referred to as non-sampling errors.
Because of non-sampling errors the weights can be biased.
Surveys are also subject to sampling and non-sampling errors.
And non-sampling errors is not assessed and published.
It is difficult to measure the size of the non-sampling errors.
While describing non-sampling errors there should be analyzed.
Practices for the reporting of sampling and non-sampling errors.
Sampling and non-sampling errors explain these differences.
Estimates from the survey are subject to sampling and non-sampling errors.
Non-sampling errors are much harder to quantify than sampling error.
Revisions in the raw data are required to correct known non-sampling errors.
Non-sampling errors are present in both sample surveys and censuses.
Estimates from the surveys are subject to sampling and non-sampling errors.
See also
Non-sampling errors are all other errors that are unrelated to sampling.
Errors in surveys are conventionally divided into sampling and non-sampling errors.
Non-sampling errors may occur at each stage of this process.
All social surveys are subject to both sampling errors and non-sampling errors.
Non-sampling errors can also affect estimates derived from household or establishment surveys.
Since the survey is a census of the target population, only non-sampling errors are possible.
Other types of non-sampling errors can include response errors and processing errors.
Moreover, it is much more difficult to quantify non-sampling errors than the sampling errors.
There are many non-sampling errors that can and do affect the accuracy of polls.
A continuous quantitative assessment is carried out of non-sampling errors and risks of bias associated with,.
Non-sampling errors Errors caused by factors other than sampling.
In addition, there is the possibility of non-sampling errors.
Nonetheless, non-sampling errors still could occur.
Similarly, these estimates are often affected by non-sampling errors.
Non-sampling errors can not be easily estimated, but they can be avoided.
Managing sources of non-sampling errors.
Non-sampling errors can be attributed to one or more of the following sources, a Coverage error,.
In the case of a census, the estimates are only subject to non-sampling errors.
O Treatment of non-sampling errors.
Mode of data collection can influence response rates, data quality, and non-sampling errors.
Characteristics Non-sampling errors.
Non-sampling errors include coverage, measurement, processing, non-response and model assumption errors.
Mr Rainer 's statement is that from most economic statistics, non-sampling errors are more important.
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