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Measuring Productivity

SSRN Electronic Journal, 2008
AbstractQuantifying productivity is aconditio sine qua nonfor empirical analysis in a number of research fields. The identification of the measure that best fits with the specific goals, as well as being data driven, is currently complicated by the fact that an array of methodologies is available.
DEL GATTO M   +2 more
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Measurement

2008
Measurement theory takes measurement as the assignment of numbers to properties of an empirical system so that a homomorphism between the system and a numerical system is established. To avoid operationalism, two approaches can be distinguished. In the axiomatic approach it is asserted that if the empirical system satisfies a certain set of axioms such
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MEASURING LANGUAGE

International Journal of Bifurcation and Chaos, 2004
The study of language, its processing and its bearing on human cortical processes are all extensive domains of investigation in their own right. In this overview tutorial we limit ourselves to a sample of core illustrative issues. Our central aim is to demonstrate how complexity within the language faculty arises from two a priori distinct sources: the
Saddy, Douglas, Uriagereka, J.
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Measures Below Outer Measures

Canadian Mathematical Bulletin, 1994
AbstractWe give a simple proof that, for any ॉ > 0, there is an outer measure μ* on a finite set X such that, for any measure Thus there is a non-zero outer (finitely subadditive) measure v* on the clopen subsets of the Cantor set such that, if v ≤ v* is a finitely additive measure on the clopen subsets of the Cantor set, then v ≡ 0.
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Molecular imaging in oncology: Current impact and future directions

Ca-A Cancer Journal for Clinicians, 2022
Steven P Rowe, Martin G Pomper
exaly  

Time to add screening for financial hardship as a quality measure?

Ca-A Cancer Journal for Clinicians, 2021
Cathy J Bradley   +2 more
exaly  

Terahertz Wireless Channels: A Holistic Survey on Measurement, Modeling, and Analysis

IEEE Communications Surveys and Tutorials, 2022
Chong Han, Yiqin Wang, Yuanbo Li
exaly  

Measure for Measure

Scientific American, 2018
openaire   +2 more sources

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