Examples of using Statistical models in English and their translations into Arabic
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Computer
Statistical Models- Davison.
Making predictions based on statistical models clears my head.
Statistical models based on applications submitted.
She would been developing statistical models to predict the affects of climate change.
Statistical models to parties according to the concerned authorities model. .
International organizations sometimes produce estimates and projections by using statistical models.
Davison Statistical Models Book.
The latest Coronavirus modelling is being undertaken using Power BI andprivate coronavirus testing statistical models.
More generally, statistical models are part of the foundation of statistical inference.
The Organization currently self-insures against the following risks based on statistical models developed internally with historical information.
Based on statistical models, it will trigger a 32% rise in violent attacks in the area.
Four alternatives were examined by the Working Group, and statistical models were used to estimate their costs, if implemented.
(c) Developing statistical models to determine values of losses where insufficient independent evidence was provided by claimants.
Engineering statistics combines engineering and statistics: Design of Experiments(DOE)is a methodology for formulating scientific and engineering problems using statistical models.
There are very elaborate statistical models available for the analysis of these experiments.
Oftentimes, analysts and experts are so busy with data and metrics that they seem to forget those things in life that are difficult to measure andperhaps impossible to cluster under statistical models.
For more on how researchers use statistical models to analyze eBird data see Fink et al.
Participants were also introduced to some commonly used statistical models based on the estimation of statistical functions of yield response.
This notwithstanding, to take account of some level of unclean data remaining in the data set, we conducted a sensitivity analysis to assess theimpact of data entry error on the final statistical models.
For more on how researchers use statistical models to analyze eBird data see Hurlbert and Liang(2012) and Fink et al.(2010).
As this example illustrates, treatment effects can be different for different people andestimates of treatment effects that come from statistical models can depend on the details of those models(Grimmer, Messing, and Westwood 2014).
The full mathematical quantification(in statistical models) of this combined relation is in general very difficult or even practically impossible.
As this example illustrates, treatment effects can be different for different people andestimates of treatment effects that come from statistical models can depend on the details of those models(Grimmer, Messing, and Westwood 2014).
Statistical models of circumterrestrial space pollution characterizing the distribution of uncatalogued fine particulate debris provide a basis for assessing the risk of collision between space objects and space debris and also for forecasts of the“fragment” situation in circumterrestrial space.
In sum,it is our professional opinion that the criteria and procedures applied and the statistical models obtained thereby are satisfactory and in accordance with the state of the art in statistical modelling. .
The problem is that the statistical models that comprise economists' toolkit are best applied in normal times, so economists naturally like to describe the situation as normal. If the current slowdown is typical of other slowdowns in recent decades, then we can predict the same kind of recovery.
During the period under review, INSTRAW prepared a training package on the use of statistics and indicators ongender issues in policy design, which contains materials, computerized statistical models and exercises designed to enhance users' understanding of and skills in utilizing gender-specific statistics and indicators in designing policies and development programmes.
The methodology for the compilation of international travel statistics, which uses passive mobile positioning, was developed jointly by the Central Bank of Estonia, the University of Tartu and Positium LBS. Positium is a company that collects andprocesses anonymous data from mobile operators with statistical models and extends these data to the general data set.
According to Och, a solid base for developing a usable statistical machine translation system for a new pair of languages from scratch would consist of a bilingual text corpus(or parallel collection) of more than 150-200 million words,and two monolingual corpora each of more than a billion words.[1] Statistical models from these data are then used to translate between those languages.