Add to ORKGThis article describes an optimal method (conflation) to consolidate data from different experiments, and illustrates the advantages of conflation by graphical examples involving gaussian input distributions, and by a concrete numerical example involving the values of lattice spacing of silicon crystals used in determination of the current values of Planck\u27s constant and the Avogadro constant
A method is discussed that allows combining sets of differential or inclusive measurements. It is as...
Most previous work on multiple models has been done on a few domains. We present a comparsion of thr...
Interest in combining probabilities has a long history in the global statistical community. The firs...
This paper describes a new mathematical method called conflation for consolidating data from indepen...
Modern data analysis frequently involves multiple large and diverse data sets generated from current...
Measurements of different physical quantities are often correlated when they are performed by the sa...
Statistical analyses always lead to results that include an imprecision to a degree. Combining infor...
Statistical analyses always lead to results that include an imprecision to a degree. Combining infor...
The problem of combining information related to I binomial experiments, each having a distinct proba...
In many contexts, it is extremely costly to perform enough high-quality experimental measurements to...
Aggregation of comparisons data to rank experimental results and take decisions is being more and mo...
Thesis (Ph.D.)--University of Washington, 2023This dissertation introduced a general framework and a...
When averages of different experimental determinations of the same quantity are computed, each with ...
Passive probes continuously generate statistics on large number of metrics, that are possibly repres...
A fundamental aspect of statistics is the integration of data from different sources. Classically, F...
A method is discussed that allows combining sets of differential or inclusive measurements. It is as...
Most previous work on multiple models has been done on a few domains. We present a comparsion of thr...
Interest in combining probabilities has a long history in the global statistical community. The firs...
This paper describes a new mathematical method called conflation for consolidating data from indepen...
Modern data analysis frequently involves multiple large and diverse data sets generated from current...
Measurements of different physical quantities are often correlated when they are performed by the sa...
Statistical analyses always lead to results that include an imprecision to a degree. Combining infor...
Statistical analyses always lead to results that include an imprecision to a degree. Combining infor...
The problem of combining information related to I binomial experiments, each having a distinct proba...
In many contexts, it is extremely costly to perform enough high-quality experimental measurements to...
Aggregation of comparisons data to rank experimental results and take decisions is being more and mo...
Thesis (Ph.D.)--University of Washington, 2023This dissertation introduced a general framework and a...
When averages of different experimental determinations of the same quantity are computed, each with ...
Passive probes continuously generate statistics on large number of metrics, that are possibly repres...
A fundamental aspect of statistics is the integration of data from different sources. Classically, F...
A method is discussed that allows combining sets of differential or inclusive measurements. It is as...
Most previous work on multiple models has been done on a few domains. We present a comparsion of thr...
Interest in combining probabilities has a long history in the global statistical community. The firs...