Searched for: subject%3A%22Multivariate%255C+Linear%255C+Regression%22
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Dommerholt, Naomi (author)
This study investigates the connection between macro-scale parameters (MSP) and micro-scale water quality parameters (MSWQP) in the Brantas River, employing a multivariate linear regression (MLR) modelling approach. The analysis reveals several critical insights into the complex dynamics of water quality in this river system.<br/><br/>Key...
master thesis 2023
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Vintges, Mark (author)
Urbanization is a worldwide trend that drives an immense increase in air traffic demand. The worldwide aviation network makes global business possible which generates economic growth, creates jobs and facilitates international tourism and trade. Many of the world's transport hubs like The Greater London Area have allocated this demand over...
master thesis 2022
document
Adank, Marloes (author)
Objective: Recent studies have suggested an association between age-related hearing loss and cognitive decline. Yet, the underlying mechanism explaining this relation remains unknown. In this regard, several studies investigated gray matter (GM) differences in age-related hearing loss but presented inconsistent results regarding the association...
master thesis 2019
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Arush, Ilan (author), Pavel, M.D. (author)
Helicopter performance relies heavily on the available output power of the engine(s) installed. A simplistic single-variable analysis approach is often used within the flight-testing community to reduce raw flight-test data in order to predict the available output power under different atmospheric conditions. This simplistic analysis approach...
journal article 2017
document
De Blok, S. (author)
Airports in The Netherlands are subjected to tangent environmental laws to restrain pollution and noise nuisance. Amsterdam Airport Schiphol (AAS) is one airport dealing with this regulatory framework but nevertheless they are resolute to continue growth with respect to aircraft movements. To cope with the law related to aircraft noise, the...
master thesis 2015
Searched for: subject%3A%22Multivariate%255C+Linear%255C+Regression%22
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