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This project explores the potential of the analysis of miniscule artifacts excavated from archaeological sites worldwide to investigate the degree of cultural information lost when only examining larger artifacts.
The Akaike information criterion (AIC) measures the information lost when a given model is used to describe population characteristics.
AIC and BIC provide estimates of the information lost when a given model is used to represent the process that generates a given dataset.
AIC offers a relative estimation of the information lost when the given model is used to generate data (Akaike 1974; Kline 2010; Hoyle 2011).
The best model in this approach is the model that minimizes the information lost when the model is used to approximate the truth model (the perfect model to represent the data with the highest possible accuracy).
The r 2 is a measure of goodness of fit of the model while AIC offers a relative estimate of the information lost when a given model is used to represent the process that generates the data.
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An important amount of information is lost when the data are analyzed as they do.
This innovative use of accompanying survey data meant that no information was lost when participants chose the status quo option, as attributes and levels for this alternative could be defined on an individual level.
In the mobile phone data, a user's location information is lost when he/she does not use his/her phone, but by defining the transient origin and destination with movements within one hour, we can capture the distribution of travel demands.
For instance, it is unclear whether this tool is responsive to treatment-related changes or whether clinically meaningful information is lost when it replaces multiple risk questionnaires.
Submitting biopsy cores individually raises the cost of pathologic evaluation significantly while important prognostic information is lost when the samples are bundled into fewer containers.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com