The Statistical Construction of a Single Standard from Several Available Standards
- 1 December 1964
- journal article
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Transactions on Instrumentation and Measurement
- Vol. IM-13 (4) , 180-185
- https://doi.org/10.1109/tim.1964.4313401
Abstract
In the case of physical quantities for which no international standards exist, such as microwave power and microwave noise, it may be desirable to establish an international standard by combination of the data from several laboratory standards. Even if there is an international standard, it conceivably might be replaced by a new composite standard, for example the mean of several laboratory atomic-time standards. A weighted mean may be preferable. It is noted that the "best" combination of observations for estimating a theoretical mean or median value depends on the theoretical frequency distribution from which the observations are drawn. Since the theoretical distribution for observations from different laboratories would in general be unknown, two weighted means are suggested which are reasonably good for many distributions, allowing for wild observations particularly, and in which the weight of each observation depends only on its order when the observations are ordered in size. The efficiencies of these and other estimates are evaluated for each of four distributions.Keywords
This publication has 9 references indexed in Scilit:
- A Note on Estimation from a Cauchy SampleJournal of the American Statistical Association, 1964
- Robust Estimation of a Location ParameterThe Annals of Mathematical Statistics, 1964
- The Speed of LightIRE Transactions on Instrumentation, 1962
- The Atomic Time ScaleIRE Transactions on Instrumentation, 1962
- The Future of Data AnalysisThe Annals of Mathematical Statistics, 1962
- Variance of the Median of Samples from a Cauchy DistributionJournal of the American Statistical Association, 1960
- Estimation of the Mean and Standard Deviation by Order StatisticsThe Annals of Mathematical Statistics, 1954
- Processing Data for OutliersPublished by JSTOR ,1953
- Ratios Involving Extreme ValuesThe Annals of Mathematical Statistics, 1951