20d49b58ff201bc44af1 · Parameter Estimation and Uncertainty Evaluation in a Low Rician K-Factor Reverberation-Chamber Environment
Parameter Estimation and Uncertainty Evaluation in a Low Rician K-Factor Reverberation-Chamber Environment
In this paper we study statistical methods for estimating the Rician K-factor when this parameter is small. A fiducial approach for making statistical inference on the K-factor is discussed. The approach requires a Monte Carlo method to compute the
{
"title_en": "Parameter Estimation and Uncertainty Evaluation in a Low Rician K-Factor Reverberation-Chamber Environment",
"designation": "",
"series": "",
"status": "",
"date": "2014-10-15",
"date_original": "October 15, 2014",
"url": "https://www.nist.gov/publications/parameter-estimation-and-uncertainty-evaluation-low-rician-k-factor-reverberation",
"source": "NIST Publications",
"display_en": "",
"authors_en": "Chih-Ming Wang , Catherine A. Remley , Ansgar T. Kirk, Ryan J. Pirkl , Christopher L. Holloway , Dylan F. Williams , Paul D. Hale",
"abstract_excerpt_en": "In this paper we study statistical methods for estimating the Rician K-factor when this parameter is small. A fiducial approach for making statistical inference on the K-factor is discussed. The approach requires a Monte Carlo method to compute the",
"id": "20d49b58ff201bc44af1",
"sources": [
"NIST Publications"
],
"source_records": [
{
"title_en": "Parameter Estimation and Uncertainty Evaluation in a Low Rician K-Factor Reverberation-Chamber Environment",
"designation": "",
"series": "",
"status": "",
"date": "2014-10-15",
"date_original": "October 15, 2014",
"url": "https://www.nist.gov/publications/parameter-estimation-and-uncertainty-evaluation-low-rician-k-factor-reverberation",
"source": "NIST Publications",
"display_en": "",
"authors_en": "Chih-Ming Wang , Catherine A. Remley , Ansgar T. Kirk, Ryan J. Pirkl , Christopher L. Holloway , Dylan F. Williams , Paul D. Hale",
"abstract_excerpt_en": "In this paper we study statistical methods for estimating the Rician K-factor when this parameter is small. A fiducial approach for making statistical inference on the K-factor is discussed. The approach requires a Monte Carlo method to compute the"
}
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}