statistical inference

collocation in English

meanings of statisticaland inference

These words are often used together. Click on the links below to explore the meanings.
statistical
adjective
uk /stəˈtɪs.tɪ.kəl/ us /stəˈtɪs.tɪ.kəl/
relating ...
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inference
noun[ C or U ]
uk /ˈɪn.fər.əns/ us /ˈɪn.fɚ.əns/
a guess that you make or an opinion that you form based on the information that ...
See more at inference

Examples of statistical inference

statistical inference
The intercept was assumed to be random in order to take within-subject correlations of the dependent variables into account for statisticalinference.
For example, the treatment of statisticalinference is linked, appropriately, to learning in neural nets.
However, given that statisticalinference is a form of induction, should it be expected to conform to the rules of deduction?
Techniques of statisticalinference provided a large part of the new mentalist concepts that fueled the cognitive revolution.
This fundamental philosophical question took on quantitative form with the development of probability, and is the basic problem in statisticalinference.
The process of optimization is performed thanks to a statisticalinference method, called the "minimum representation (or description) length" method.
Good design and sound statisticalinference will be a crucial factor in determining whether microarrays fulfill their potential.
Finally, in this paper we have presented a first step towards the statisticalinference of transmission experiments.
Therefore, it is recommended that statistical models appropriate for handling these data properties be selected using objective criteria to ensure efficient statisticalinference.
On a fine point of statisticalinference, it is not correct to translate a failure to reject a hypothesis as proof that it holds.
Complex methodological issues surround the issues of sampling and statisticalinference in analysing the results of expert surveys.
Statisticalinference using classical methods and distributions will be invalid.
They discuss the relevant asymptotic theory for estimation and statisticalinference.
Statisticalinference from a ratio is difficult, and the policy implications from point estimates uncertain.
To obtain bootstrap refinements to statisticalinference, we simulate candidate diffusion processes.
These examples are from corpora and from sources on the web. Any opinions in the examples do not represent the opinion of the Cambridge Dictionary editors or of Cambridge University Press or its licensors.

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