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Measurement theory is the study of how numbers are assigned to objects and phenomena, and its concerns include the kinds of things that can be measured, how different measures relate to each other, and the problem of error in the measurement process.
However, little research has explored how different measures of proximity to POSs might influence POS-related walking.
On this basis, we hope to show how different "measures" of Sigma's program furnish enough evidence for readers to piece together what happened before and during the program.
McGlade thinks Flood Ranger will let environmental scientists and town planners, and anyone else in fact, explore how different measures might affect the landscape in the long term.
In this chapter, we discuss crucial issues in the design stage of epidemiologic studies, how different measures of disease occurrence and measures of associations are calculated, and how systematic and random errors might hamper the accuracy of the results.
In this paper, I address the question of how different measures reflect different perspectives and biases by investigating the production and diffusion of research associated with one of Stanford University's most prolific interdisciplinary centers, the Center for Computer Research in Music and Acoustics (CCRMA).
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In 1999 Xuan et al. [ 2] reported how different measuring methods differ when evaluating the different effects of co-morbidities related to QoL.
This review considers different aspects of genetic risk, including individual, population, and familial risks, and explores how these different measures interact and how the next generation of genetic studies might be best designed.
An admixed population PC is assigned to one of two groups G 1, G 2, which are characterized by the summary measures M 1, M 2. This scheme is described with abstract choice of summary measure, but below, we consider how different summary measures (taking M 1, M 2 to be either the ABS metric or wavelet informative variance) affect the success of classification.
The article describes how different behavioral measures are used in psycholinguistic experiments.
He also studied how different performance measures, contracts and incentives can make supply chains more efficient among partners.
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