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Advanced Analysis of Long Time Stability of Density Measurement by Vibrating Tube Density Meter.
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SYSNO ASEP 0496725 Druh ASEP C - Konferenční příspěvek (mezinárodní konf.) Zařazení RIV Záznam nebyl označen do RIV Název Advanced Analysis of Long Time Stability of Density Measurement by Vibrating Tube Density Meter. Tvůrce(i) Wagner, Zdeněk (UCHP-M) RID, SAI, ORCID
Bendová, Magdalena (UCHP-M) RID, ORCID, SAI
Rotrekl, Jan (UCHP-M) RID, ORCID, SAI
Andresová, Adéla (UCHP-M) RID, SAI
Čanji, Maja (UCHP-M) RID, SAIZdroj.dok. Book of Abstracts. - -, 2017 - ISBN N. Poč.str. 1 s. Forma vydání Online - E Akce World Congress of Chemical Engineering /10./ Datum konání 01.10.2017 - 05.10.2017 Místo konání Barcelona Země ES - Španělsko Typ akce WRD Jazyk dok. eng - angličtina Země vyd. ES - Španělsko Klíč. slova analysis ; vibrating tube density meter ; stability Vědní obor RIV CF - Fyzikální chemie a teoretická chemie Obor OECD Physical chemistry Institucionální podpora UCHP-M - RVO:67985858 Anotace In this work the results of the last two years of measurement were analyzed. Although the overall data sample is large, it contains measurements of densities of several pure compounds and hence the samples of comparable data are not large enough for a reliable statistical analysis. For this reason mathematical gnostics was applied for data analysis. It is a nonstatistical method derived from the fundamental laws of nature, such as thermodynamics and special theory of relativity. Being based on the theory of measurement and properties of each single measured datum, the estimators derived from matmematical gnostics are valid even for small data samples. In addition, no assumption of the type of the distribution of experimental errors is used, the distribution function is estimated during the analysis. This approach allowed us to obtain more robust results identifying the impact of all sources of uncertainty and estimate the typical shape of the distribution function of the measured density and excess volume.. Pracoviště Ústav chemických procesů Kontakt Eva Jirsová, jirsova@icpf.cas.cz, Tel.: 220 390 227 Rok sběru 2019
Počet záznamů: 1