Name
Abstract | ||
|---|---|---|
An estimate of a measurand using a nonlinear function of uncorrelated input quantities can be done by either applying the nonlinear function to the means of the input quantities (Method 1) or calculating the mean of a set of values obtained from propagating individual measurement values through the nonlinear function (Method 2). This paper proposes an improvement over the standard Method 2 procedu... |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1109/TIM.2017.2658000 | IEEE Transactions on Instrumentation and Measurement |
Keywords | Field | DocType |
Measurement uncertainty,Uncertainty,Temperature measurement,Soil measurements,Random variables,Estimation,Computers | Applied mathematics,Mathematical optimization,Random variable,Monte Carlo method,Nonlinear system,Multiplicative function,Measured quantity,Measurement uncertainty,Control engineering,Mathematics,Independence (probability theory),Estimator | Journal |
Volume | Issue | ISSN |
66 | 4 | 0018-9456 |
Citations | PageRank | References |
0 | 0.34 | 7 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ye Chow Kuang | 1 | 72 | 19.81 |
| Arvind Rajan | 2 | 6 | 4.06 |
| Melanie Po-Leen Ooi | 3 | 70 | 18.35 |
| Serge N. Demidenko | 4 | 84 | 19.38 |