Claas Wagner

Originally trained as an economist, Claas Wagner realized that his real interests were with environmental and energy related topics. Sustainable resource management, emission reduction procedures and energy efficiency issues share common ground: decisions need to be based on valid data. This led to Claas’ PhD on representative sampling and data analysis for quality monitoring in large-scale combustion plants. Currently, Claas combines his fields of interest as a consultant for various industries, providing quality assurance approaches. Throughout all of his work reigns representative sampling.

Content by Claas Wagner:

Techniques & Tools Data Analysis

Why We Need the Theory of Sampling

10/22/2014 | Kim H. Esbensen, Claas Wagner

Without representative sampling, measurement uncertainty is compromised. Here, we present the current Theory of Sampling versus Measurement Uncertainty debate.