Analytical ChemistryRandom ErrorNew Books Sistematicheskie i Sluchainye Pogreshnosti Khimicheskogo Analiza (Systematic and Random Errors in Chemical Analysis), Chernov'yants, M.S., Ed., Moscow: Akademkniga, 2004, 157 pp.doi:10.1007/s10809-005-0203-xNone...
摘要: New Books Sistematicheskie i Sluchainye Pogreshnosti Khimicheskogo Analiza (Systematic and Random Errors in Chemical Analysis), Chernov'yants, M.S., Ed., Moscow: Akademkniga, 2004, 157 pp. 关键词: Analytical Chemistry Random Error DOI: 10.1007/s10809-005-0203-x 年份: 2005 收...
Computational models used in the estimation of thermodynamic quantities of large chemical systems often require approximate energy models that rely on para... JC Faver,Y Wei,KM Merz - 《Journal of Chemical Theory & Computation》 被引量: 32发表: 2012年 Effects of errors-in-variables on weighted...
An exponential and heavy tail analysis method is presented to study the effect of systematic and random errors present in thermodynamic data on chemical process design and simulation. The true distribution tail characteristics (important for high levels of quality assurance) can be far from the estima...
(Step 5) or fatal errors are introduced into the viral DNA during reverse transcription (Step 5f). Once in the nucleus, viral DNA is integrated into the cell DNA (Step 6) and can later be used for virus replication. (B) An IAV virion attaches to the cell surface (Step 1). The ...
Performance is assessed by analysis metrics, including ROC and statistical errors. The primary data set encompasses distinct categories, including household wastes, hospital wastes, clinics wastes, and unknown-originated susceptible waste which is categorized in Infected items, PPEs, SUPs, Test kits, ...
Such models have been used in satellite attitute control [4], in macroeconomic theory [5], population dynamics [6],[7],vibrations analysis [8], to model roundoff errors in digital control computations [9], chemical reactor stability [10], etc. In modelling systems with large changes in ...
On the whiteness of high-resolution quantization errors A common belief in quantization theory says that the quantization noise process resulting from uniform scalar quantization of a correlated discrete-time pr... Harish Viswanathan,Ram Zamir - 《IEEE Transactions on Information Theory》 被引量: 47发...
Nonsampling Errors RaghunathArnab, inSurvey Sampling Theory and Applications, 2017 15.4.2.1Classification of Response Probabilities Missing completely at random (MCAR): If the probabilityθiis independent of the study variabley, then the missing data are called MCAR. Here, missingness does not depend...
It allows the identification of multiple markers, which can be organized into three groups, according to their laboratory method assessment: physical, chemical, and microscopic characters. However, evidence regarding its role and power is still not unanimous, at least in some diseases, and future ...