Name
Title | ||
|---|---|---|
A Statistical Inference Comparison for Measurement Estimation Using Stochastic Simulation Techniques |
Abstract | ||
|---|---|---|
The purpose of this paper is to present a comparison of different techniques for making statistical inference about a measurement system model. This comparison involves results when two main assumptions are made: 1) the unknowable behavior of the probability density function (pdf) p (e) of errors since the real measurement systems are always exposed to continuous perturbations of an unknown nature... |
Year | DOI | Venue |
|---|---|---|
2008 | 10.1109/TIM.2008.922098 | IEEE Transactions on Instrumentation and Measurement |
Keywords | Field | DocType |
Stochastic processes,Kernel,Signal processing,Probability density function,Density measurement,Bayesian methods,Monte Carlo methods,Entropy,Stochastic systems,Signal processing algorithms | Applied mathematics,Markov process,Markov chain Monte Carlo,Control engineering,Statistical inference,Artificial intelligence,Monte Carlo method,Pattern recognition,Stochastic process,Kernel method,Probability density function,Mathematics,Bayesian probability | Journal |
Volume | Issue | ISSN |
57 | 10 | 0018-9456 |
Citations | PageRank | References |
0 | 0.34 | 8 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| José Ismael de la Rosa Vargas | 1 | 10 | 5.29 |
| Gerardo Miramontes | 2 | 0 | 0.34 |
| Lyle E. McBride | 3 | 0 | 0.68 |
| J. de Jesus Villa | 4 | 0 | 0.34 |
| G. A. Fleury | 5 | 151 | 27.74 |
| M. Davoust | 6 | 3 | 1.44 |