Examples of using Statistical quality in English and their translations into Russian
{-}
-
Official
-
Colloquial
Statistical quality standards.
IND890SQC for Statistical Quality Control.
The Steering Group proposed to alternate METIS work sessions with the"Q" conferences on statistical quality.
FreeWeigh. NET for Statistical Quality Control.
Most statistical quality measures are designed for surveys.
People also translate
FreeWeigh. NET Compact for Statistical Quality Control.
This indicator is compiled in a specific manner where the administrative considerations prevail against those requiring statistical quality.
This data is used for statistical quality control.
Statistical quality standards such as those developed by IMF can be used as a measure of the quality of available health statistics.
Expand your knowledge about universal Statistical Quality Control SQC.
Cabit offers professional statistical, quality, analysis software, and has a wealth of application experience and sales channels.
Thus geography is no longer involved in that work, and statistical quality improved by the way.
Validation has two objectives: first,to ensure the statistical quality of the data to be issued and, second, to understand their development, assess their robustness and use them as a basis for employment concerns.
Data from all checkweighers are collected andreviewed with FreeWeigh. Net statistical quality and process control software.
Statistical Quality Control(SQC) and Statistical Process Control(SPC) software programme captures equipment and process level data and turns it into actionable information.
Scientific manufacturing employing statistical quality control methodology.
In presenting the proposed work plan for 2013, the Director highlighted the strategy of a continuing series of training on specific topics, such as on the Systemof National Accounts 2008, vital statistics and statistical quality management.
Health statistics at present are not bound by any health data standards except for general standards such as the Fundamental Principles of Official Statistics,the European Statistics Code of Practice, and other statistical quality standards.
They should also identify the information gaps and other statistical quality issues and the difficulties that these present for effective analysis and policy work.
Management seminars for the heads of national statistical offices and workshops on statistical quality management;
They should remain open to users' requests while fiercely safeguarding the statistical quality of the chosen indicators(e.g. theoretical underpinning, accuracy, timeliness and punctuality) and ensuring that the structure of the scorecard reflects the analytical framework chosen for sustainable development issues.
The main effort will continue to be devoted to improving the total quality(coverage,timeliness and statistical quality) of transport statistics.
The fifth workshop in the series on statistical quality management and the fundamental principles of official statistics provided training to 17 senior managers from 11 countries on the generic national quality assurance framework(NQAF) template, which had been endorsed by the United Nations Statistical Commission at its forty-second session.
One of the recommendations of that meeting was to organize a workshop on assessing and improving statistical quality: measuring the non-observed economy.
There is a need to use the emerging standards,e.g. ISO-standard for surveys and integrate them into a single statistical quality framework or perhaps two, one for producers of primary statistics and one for compilators of statistics across domains.
It is thus in charge of programme coordination, and checks that the work planned by producers matches the requests made by the users of statistical information, that the surveys planned are appropriate in orderto avoid duplication, and that the statistical quality of the surveys is of a high enough standard.
This phase manages the evaluation of a specific instance of a statistical business process, as opposed to the more general over-arching process of statistical quality management described in Section VI. It logically takes place at the end of the instance of the process, but relies on inputs gathered throughout the different phases.
It is also essential that practicable questions can be devised to collect data which are of sufficient and measurable statistical quality to meet users' requirements for information.
The most recent of these was the OECD/UNESCAP/ADB Workshop on Assessing and Improving Statistical Quality: Measuring the Non-observed Economy, held in Bangkok in May 2004.