Big Chemical Encyclopedia

Chemical substances, components, reactions, process design ...

Articles Figures Tables About

Statistical analysis applications

Statistical Analysis. Application of statistical methods to analytical data on wines has not been common. Oliveira (1941), however, made a detailed statistical study of the analyses of various constituents in 600 white and 1071 red port wines. The frequency curves are somewhat asymmetric, particularly for the volatile acidity this is, perhaps, to be expected in dessert wines—where a small constant amount is formed during fermentation and where the quantity present increases slowly during aging. The averages were ... [Pg.358]

In general, the first step in virtual screening is the filtering by the application of Lipinski s Rule of Five [20]. Lipinski s work was based on the results of profiling the calculated physical property data in a set of 2245 compounds chosen from the World Drug Index. Polymers, peptides, quaternary ammonium, and phosphates were removed from this data set. Statistical analysis of this data set showed that approximately 90% of the remaining compounds had ... [Pg.607]

Table 1 presents the distribution of tantalum and niobium processor shipments for 1999, 2000 and 2001. The values presented in Table 1 were estimated based on graphs given by Mosheim in a comprehensive statistical analysis [20]. Breakdown of the total worldwide amount of tantalum and niobium used in 2000 in main applications is given in Figs.l and 2, respectively. [Pg.2]

Sobel E, Lange K. Descent graphs in pedigree analysis applications to haplotyping, location scores and marker sharing statistics. Am J Hum Genet 1996 58 1323-1337. [Pg.57]

In order to establish such a correlation, however, a statistical analysis of a very large number of patterns would be necessary. This is one possible area for application for the pattern recognition techniques mentioned above. For thin single crystal substrates, any epitaxial relationship of the metal particles to the support is clearly evidenced because the patterns are superimposed in nanodiffraction. A comparison can be made of the patterns obtained with the beam on and just off the particle. [Pg.352]

Weil, C.S. (1962). Applications of methods of statistical analysis to efficient repeated-dose toxicological tests. I. General considerations and problems involved. Sex differences in rat liver and kidney weights. Toxicol. Appl. Pharmacol. 4 561-571. [Pg.969]

However, the application of statistical analysis to experiment data is not always straightforward and may be fraught with inconsistencies due to the assumptions that are involved in the statistical development an interpretation of the data. Statistical analysis of the data is only a part of the picture the decision process has to be viewed as a coherent whole. A decision can be made only by taking into... [Pg.172]

For a statistical analysis to adequately characterize the distribution of a component, the data should first be processed to obtain the optimum selectivity for that component. In this application the PLS model produces a score image that effectively separates the spectral response of the API from the excipients. Even though there is very little observable contrast in the images of the well blended samples, the results from the poorly blended samples convey conhdence that the method is effective at tracking the API distribution. [Pg.275]

For example, a single estimate for total PCB s has been historically collected in the NHATS program. Current advances in chemical analysis protocols now allow for the determination of isomer specific resolution of PCB s. Given the 209 PCB s that are now possible to detect, an adequate evaluation of the data without the use of pattern recognition techniques seems impossible. From a QA/QC perspective, these methods can facilitate the detection of outliers and aid in the interpretation of human chemical residue data. The application of statistical analysis must keep abreast with these advances made in chemisty. To handle the complexity and quantity of such data, the use of more sophisticated statistical analyses is needed. [Pg.92]


See other pages where Statistical analysis applications is mentioned: [Pg.322]    [Pg.322]    [Pg.344]    [Pg.360]    [Pg.25]    [Pg.211]    [Pg.313]    [Pg.100]    [Pg.494]    [Pg.31]    [Pg.463]    [Pg.114]    [Pg.88]    [Pg.490]    [Pg.268]    [Pg.356]    [Pg.677]    [Pg.37]    [Pg.110]    [Pg.102]    [Pg.255]    [Pg.95]    [Pg.774]    [Pg.96]    [Pg.243]    [Pg.254]    [Pg.237]    [Pg.273]    [Pg.108]    [Pg.410]    [Pg.337]    [Pg.442]    [Pg.251]    [Pg.257]    [Pg.257]    [Pg.355]    [Pg.47]    [Pg.70]   
See also in sourсe #XX -- [ Pg.23 , Pg.24 ]




SEARCH



Analysis, applications

Applications of statistical methods in water analysis

Multivariate statistical analysis applications

Statistical analysis

Statistical network analysis applications

Statistics applications

© 2024 chempedia.info