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Statistical software

Thioulouse, J., Chessel, D., Dolidec, S., and Olivier, J. M. (1997) ADE-4 a multivariate analysis and graphical display software. Statistics and Computing 7, 75-83. [Pg.275]

CPFR (collaborative planning, forecasting, and replenishment) Implementation Software packages Forecasting software Statistical packages... [Pg.185]

In addition, the proposed method can also be used in different fields and not just for display information, by modifying the failure categories and guidewords. Furthermore, the method can also be used for functionality which is given by hardware or combinations of hardware and software. Statistical failure rates cannot be determined because of the qualitative character of the method. [Pg.1272]

ABSTRACT The present paper introduces a technology-enhanced teaching method that promotes deep learning. Four stages that correspond to four difFerent student cohorts were used for its development and to analyse its effectiveness. The effectiveness of the method has been assessed in terms of examination results as well as results obtained from class response system software statistics. The evidence gathered indicates that the method developed is very effective and its implementation is straightforward. Furthermore, its success in achieving results seems to be independent of the skills and/or experience of the lecturer. [Pg.183]

All the conclusions and statements provided so far were based on the results of final examination marks. It was of particular interest to analyse if the same conclusions could be derived when the CRS software statistics were studied. Figure 1 shows the percentages obtained by the students for the correct answer to 5 questions at the three stages when the corresponding... [Pg.189]

The effectiveness of the method has been evaluated in terms of examination results as well as results obtained from CRS software statistics. It is recognised that the evidence gathered so far might be limited, but it does seem to demonstrate that the method is highly effective. [Pg.191]

Calculation of error propagation is an important feature of a TLC evaluation software. Statistical results can be expressed as cv (relative standard deviation of the unknowns only) and as ci (confidence interval). The ci value includes the statistical error of the calibration and that of the unknowns. Therefore, ci is the better measure for the reliability of a method. [Pg.144]

Eick, S.G., Steffen, J.L., Sumner, E.E.J. Seesoft-a tool for visualizing line oriented software statistics. IEEE Trans. Softw. Eng. 18(11), 957-968 (1992)... [Pg.316]

A comprehensive and up-to-date introduction to the ideas of molecular dynamics and Monte Carlo, with statistical mechanical background, advanced teclmiques and case studies, supported by a Web page for software download. [Pg.2290]

Similarity is often used as a general term to encompass either similarity or dissimilarity or both (see Section 6.4.3, on similarity measures, below). The terms "proximity" and distance are used in statistical software packages, but have not gained wide acceptance in the chemical literature. Similarity and dissimilarity can in principle lead to different rankings. [Pg.303]

TableCurve is available from Systat Software Inc., 501 Canal Boulevard, Suite E, Richmond, CA 94804-2028 (http //www.systat.com/products/tablecurve2d/). A free trial version of TableCurve is available at this web site. Systat offers other curvefitting and statistical software. TableCurve is available from Systat Software Inc., 501 Canal Boulevard, Suite E, Richmond, CA 94804-2028 (http //www.systat.com/products/tablecurve2d/). A free trial version of TableCurve is available at this web site. Systat offers other curvefitting and statistical software.
The linear regression calculations for a 2 factorial design are straightforward and can be done without the aid of a sophisticated statistical software package. To simplify the computations, factor levels are coded as +1 for the high level, and -1 for the low level. The relationship between a factor s coded level, Xf, and its actual value, Xf, is given as... [Pg.677]

A number of statistics and spreadsheet software packages are available to perform ANOVA calculations. [Pg.695]

Laboratory Information Management System. The QC lab must analy2e raw material, in-process, and finished product samples adhere to cahbration schedules record data and perform statistical analyses. These activities lend themselves to the appHcation of software packages such as a laboratory information management system (LIMS) (qv). An inexpensive LIMS is within the reach of even small laboratories. [Pg.368]

The LIMS software is essentially a database for tracking, reporting, and archiving lab data as well as scheduling and guiding lab activities. Graphical and statistical treatment of data for improved process control (qv) as well as preparation of certificates of analysis (COA) for the customer are some of the other features of a comprehensive LIMS package (30). [Pg.368]

The development of the probabilistic design approach, as already touched on, includes elements of probability theory and statistics. The introductory statistical methods discussed in Appendix I provide a useful background for some of the more advanced topics covered next. Wherever possible, the application of the statistical methods is done so through the use of realistic examples, and in some cases with the aid of computer software. [Pg.135]

Another recent database, still in evolution, is the Linus Pauling File (covering both metals and other inorganics) and, like the Cambridge Crystallographic Database, it has a "smart software part which allows derivative information, such as the statistical distribution of structures between symmetry types, to be obtained. Such uses are described in an article about the file (Villars et al. 1998). The Linus Pauling File incorporates other data besides crystal structures, such as melting temperature, and this feature allows numerous correlations to be displayed. [Pg.495]

There is a large amount of commercial software available for performing the statistical calculations described later in this chapter, and for more advanced statistical tests beyond the scope of this text. [Pg.134]


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See also in sourсe #XX -- [ Pg.40 , Pg.45 ]

See also in sourсe #XX -- [ Pg.315 ]

See also in sourсe #XX -- [ Pg.315 ]




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