Naar efficiënte experimenten

Dr H. C. Hamaker

Statistica Neerlandica, 1955, vol. 9, issue 1‐2, 7-25

Abstract: Towards efficient experiments. Under industrial conditions, where we encounter large random fluctuations, large numbers of observations, and a multiplicity of influencing factors, a proper analysis of the data on a statistical basis has become an essential part of our experimental techniques, which ultimately leads to more efficient methods of experimentation. This is illustrated by 7 practical examples. The first 4 examples deal with simple experiments for comparing two batches of raw materials when disturbing factors such as a time trend must be eliminated. The last 3 examples discuss more complex cases, namely a three‐factor experiment in the foundry, a latin square experiment in nylon spinning, and a five‐factor experiment of a mixed kind on gear‐noise testing. An attempt is made to explain in a simple form the relation between the statistical analysis of and the technical conclusions to be drawn from the result of a properly designed experiment.

Date: 1955
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