LPML and LPMLE3 codes: local polynomial maximum likelihood estimator (semi-infinite and 3 point)

Datacite citation style:
van Berkel, Matthijs; Vandersteen, G (Gerd); Schneidewind, U (Uwe); Anibas, C. (Christian) (2018): LPML and LPMLE3 codes: local polynomial maximum likelihood estimator (semi-infinite and 3 point). Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/uuid:3e188459-4c0c-4bed-a3fb-0c804027a973
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite

Dataset

This package contains the LPML and LPMLE3 codes which has been cleaned up for external use. The codes are an updated version belonging to the publications: Determining groundwater-surface water exchange from temperature-time series: Combining a local polynomial method with a maximum likelihood estimator by G. Vandersteen, U. Schneidewind, C. Anibas, C. Schmidt, P. Seuntjens and O. Batelaan LPMLE3: A novel 1-D approach to study water flow in streambeds using heat as a tracer by U. Schneidewind, M. van Berkel, C. Anibas, G. Vandersteen, C. Schmidt, I. Joris,P. Seuntjens, O. Batelaan, and H. J. Zwart

History

  • 2018-12-20 first online, published, posted

Publisher

4TU.Centre for Research Data

Format

media types: application/pdf, application/zip, text/plain, text/x-matlab

Funding

  • Belgian Federal Government, IUAP VI/4
  • Euratom research and training program, 633053
  • Fund for Scientific Research (FWO- Vlaanderen). Institute for the Promotion of Innovation through Science and Technology in Flanders
  • Marie Curie Initial Training Network ADVOCATE— Advancing sustainable in situ remediation for contaminated land and groundwater, funded by the European Community’s Seventh Framework Programme, 265063
  • Strategic Research Program (SRP-19) of the Vrije Universiteit Brussel (VUB)

Organizations

Connected Waters Initiative Research Centre, UNSW Sydney, NSW 2052, Australia;
DIFFER - Dutch Institute for Fundamental Energy Research, De Zaale 20, 5612 AJ Eindhoven, The Netherlands;
Department of Civil and Environmental Engineering, Western University, London, Ontario, Canada;
Department of Engineering Geology and Hydrogeology, RWTH Aachen University, Aachen, Germany;
Department of Hydrology and Hydraulic Engineering, Vrije Universiteit Brussel, Brussels, Belgium,;
Department of Soil Management, Ghent University, Ghent, Belgium;
Eindhoven University of Technology, Dept.~of Mechanical Engineering, Control Systems Technology Group, PO Box 513, 5600MB Eindhoven, The Netherlands;
Environmental Modeling Unit, VITO—Flemish Institute for Technological Research, Mol, Belgium;
Vrije Universiteit Brussel (VUB), Dept.~of Fundamental Electricity and Instrumentation, Pleinlaan 2, 1050 Brussels, Belgium;
Water Research Laboratory, School of Civil and Environmental Engineering, UNSW Australia, Sydney, NSW 2052, Australia

DATA

Files (1)

  • 372,724 bytesMD5:3e48d47b1312e1288240960d93a82042data.zip