The Cramer—Rao Inequality to Improve the Resolution of the Least-Squares Method in Track Fitting
Gregorio Landi, Giovanni E. Landi
Journal
- ISSN / E-ISSN
- — / —
- DOI
- 10.3390/instruments4010002 ↗
- Volume · Issue · Pages
- 4 · 1 · 2-2
- Publisher
- MDPI AG
- Article URL
- http://dx.doi.org/10.3390/instruments4010002 ↗
- Article details
- Unverified
Publication date (each date has its type and source)
04 Jan 2020
OpenAlex publication date · source: OpenAlex
| Type | Date | Source |
|---|---|---|
| OpenAlex publication date | 04 Jan 2020 | OpenAlex |
Keywords (as given): Cramer-Rao lower bound; track fitting; least squares; resolution enhancement; weighted least squares; estimator efficiency; Gaussian model; parameter estimation
HEC Status at Publication Not the journal's current status
HEC Status at PublicationNot conclusive
Historical status could not be conclusively determined.
- HEC status cannot be determined for this date: no HEC list is recorded as in effect on it.
Best available information, not a definitive status: HEC status cannot be determined for this date: no HEC list is recorded as in effect on it.
- Journal
- Instruments
- Publication date used
- 04 Jan 2020 (OpenAlex publication date)
- Applicable HEC period
- None recorded for this date
- Category
- —
- Recognition status
- Unknown (NO_PERIOD_FOR_DATE)
- Source
- —
- Verification status
- Not available
This is an automatically generated summary based on the information available on the publication date. Terms & conditions apply.