Matches in SemOpenAlex for { <https://semopenalex.org/work/W2953048986> ?p ?o ?g. }
- W2953048986 endingPage "8722" @default.
- W2953048986 startingPage "8715" @default.
- W2953048986 abstract "Inverse variance weighting ensures optimal parameter estimation in least-squares fitting, with exact parameter standard errors for linear least-squares with known data variance. In this Feature, I emphasize the virtues of numerical methods for estimating data variance functions and for determining these limits for any calibration model, linear or nonlinear." @default.
- W2953048986 created "2019-06-27" @default.
- W2953048986 creator A5071742684 @default.
- W2953048986 date "2019-06-10" @default.
- W2953048986 modified "2023-09-27" @default.
- W2953048986 title "Calibration: Detection, Quantification, and Confidence Limits Are (Almost) Exact When the Data Variance Function Is Known" @default.
- W2953048986 cites W1967514664 @default.
- W2953048986 cites W1978065911 @default.
- W2953048986 cites W1982448069 @default.
- W2953048986 cites W1982897420 @default.
- W2953048986 cites W1985136161 @default.
- W2953048986 cites W1987405912 @default.
- W2953048986 cites W1988707690 @default.
- W2953048986 cites W1989671297 @default.
- W2953048986 cites W1991359408 @default.
- W2953048986 cites W1994315372 @default.
- W2953048986 cites W1998345146 @default.
- W2953048986 cites W2000018921 @default.
- W2953048986 cites W2001031803 @default.
- W2953048986 cites W2003187747 @default.
- W2953048986 cites W2003255499 @default.
- W2953048986 cites W2005410217 @default.
- W2953048986 cites W2006968004 @default.
- W2953048986 cites W2008385258 @default.
- W2953048986 cites W2024886588 @default.
- W2953048986 cites W2025346210 @default.
- W2953048986 cites W2026390461 @default.
- W2953048986 cites W2029260608 @default.
- W2953048986 cites W2030326907 @default.
- W2953048986 cites W2037174714 @default.
- W2953048986 cites W2039657803 @default.
- W2953048986 cites W2039750943 @default.
- W2953048986 cites W2040953489 @default.
- W2953048986 cites W2041360103 @default.
- W2953048986 cites W2049650340 @default.
- W2953048986 cites W2050110981 @default.
- W2953048986 cites W2050713432 @default.
- W2953048986 cites W2050984126 @default.
- W2953048986 cites W2054042699 @default.
- W2953048986 cites W2058007135 @default.
- W2953048986 cites W2062470093 @default.
- W2953048986 cites W2064675162 @default.
- W2953048986 cites W2071705903 @default.
- W2953048986 cites W2083902817 @default.
- W2953048986 cites W2084414887 @default.
- W2953048986 cites W2092725592 @default.
- W2953048986 cites W2093451884 @default.
- W2953048986 cites W2093947668 @default.
- W2953048986 cites W2099819631 @default.
- W2953048986 cites W2117203453 @default.
- W2953048986 cites W2126404535 @default.
- W2953048986 cites W2131240051 @default.
- W2953048986 cites W2137473222 @default.
- W2953048986 cites W2143228794 @default.
- W2953048986 cites W2153966662 @default.
- W2953048986 cites W2215848943 @default.
- W2953048986 cites W2256689892 @default.
- W2953048986 cites W2278282601 @default.
- W2953048986 cites W2332357679 @default.
- W2953048986 cites W2579972301 @default.
- W2953048986 cites W2583190277 @default.
- W2953048986 cites W2778893414 @default.
- W2953048986 cites W2800675261 @default.
- W2953048986 cites W2915845297 @default.
- W2953048986 cites W4253725159 @default.
- W2953048986 cites W72721951 @default.
- W2953048986 cites W2589879953 @default.
- W2953048986 doi "https://doi.org/10.1021/acs.analchem.9b00119" @default.
- W2953048986 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/31180654" @default.
- W2953048986 hasPublicationYear "2019" @default.
- W2953048986 type Work @default.
- W2953048986 sameAs 2953048986 @default.
- W2953048986 citedByCount "12" @default.
- W2953048986 countsByYear W29530489862020 @default.
- W2953048986 countsByYear W29530489862021 @default.
- W2953048986 countsByYear W29530489862022 @default.
- W2953048986 countsByYear W29530489862023 @default.
- W2953048986 crossrefType "journal-article" @default.
- W2953048986 hasAuthorship W2953048986A5071742684 @default.
- W2953048986 hasBestOaLocation W29530489861 @default.
- W2953048986 hasConcept C105795698 @default.
- W2953048986 hasConcept C108311543 @default.
- W2953048986 hasConcept C120488996 @default.
- W2953048986 hasConcept C121955636 @default.
- W2953048986 hasConcept C126838900 @default.
- W2953048986 hasConcept C14036430 @default.
- W2953048986 hasConcept C144133560 @default.
- W2953048986 hasConcept C152587130 @default.
- W2953048986 hasConcept C163175372 @default.
- W2953048986 hasConcept C165838908 @default.
- W2953048986 hasConcept C167928553 @default.
- W2953048986 hasConcept C183115368 @default.
- W2953048986 hasConcept C185429906 @default.
- W2953048986 hasConcept C196083921 @default.
- W2953048986 hasConcept C207467116 @default.
- W2953048986 hasConcept C2524010 @default.
- W2953048986 hasConcept C28826006 @default.
- W2953048986 hasConcept C33923547 @default.