Anders Larsen

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The Replication Myth 2: Quantifying Empirical Sampling Plus Analysis Variability

Paul Geladi, Kim H. Esbensen, Anders Larsen, 2013 .

Myth: Process near Infrared Calibration Spectra and Reference Samples Can Always Be Made to Match Properly

Paul Geladi, Kim H. Esbensen, Anders Larsen, 2013 .

Myth: Data Analytical Residuals Only Contain Errors—They are Noise! Mythbuster: No, Residuals May Be(Come) Your Best Friend!

Paul Geladi, Kim H. Esbensen, Anders Larsen, 2014 .

One Can Always Assign a Wavelength/Wavelength Region Specific for One's Application

Paul Geladi, Kim H. Esbensen, Phil Williams, 2015 .

Resolving the Resolution Myth

Paul Geladi, Kim H. Esbensen, Anders Larsen, 2012 .

“The Goal for My on-line NIR is to Be an Automated Copy of the Lab Technician”

Paul Geladi, Kim H. Esbensen, Anders Larsen, 2014 .

Understanding Principal Component Analysis (PCA) is the Responsibility of the Data Analyst—PCA is Not an Automatic Shotgun Solution for All Data Matrices

Paul Geladi, Kim H. Esbensen, Anders Larsen, 2014 .

Evaluations of energy audits and the regulator

Anders Larsen, Mette Jensen, A. Larsen, 1999 .

Myth 2: The Myth of the Small Validation Error Goal—Beware of Over-Fitting

Paul Geladi, Kim H. Esbensen, Anders Larsen, 2012 .