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  2. Williams–Landel–Ferry equation - Wikipedia

    en.wikipedia.org/wiki/Williams–Landel–Ferry...

    With the master curve and associated WLF equation it is possible to predict the mechanical properties of the polymer out of time scale of the machine (typically to Hz), thus extrapolating the results of multi-frequency analysis to a broader range, out of measurement range of machine.

  3. Multiple factor analysis - Wikipedia

    en.wikipedia.org/wiki/Multiple_factor_analysis

    Multiple factor analysis (MFA) is a factorial method [1] devoted to the study of tables in which a group of individuals is described by a set of variables (quantitative and / or qualitative) structured in groups. It is a multivariate method from the field of ordination used to simplify multidimensional data structures. MFA treats all involved ...

  4. Time–temperature superposition - Wikipedia

    en.wikipedia.org/wiki/Time–temperature...

    Master curves for the instantaneous modulus E′ and the loss factor tanδ as a function of frequency. The data have been fit to a polynomial of degree 7. The principle of time-temperature superposition requires the assumption of thermorheologically simple behavior (all curves have the same characteristic time variation law with temperature).

  5. Kaiser–Meyer–Olkin test - Wikipedia

    en.wikipedia.org/wiki/Kaiser–Meyer–Olkin_test

    The Kaiser–Meyer–Olkin (KMO) test is a statistical measure to determine how suited data is for factor analysis. The test measures sampling adequacy for each variable in the model and the complete model. The statistic is a measure of the proportion of variance among variables that might be common variance.

  6. Linear trend estimation - Wikipedia

    en.wikipedia.org/wiki/Linear_trend_estimation

    Black = unfiltered data; red = data averaged every 10 points; blue = data averaged every 100 points. All have the same trend, but more filtering leads to higher r 2 of fitted trend line. The least-squares fitting process produces a value, r-squared ( r 2 ), which is 1 minus the ratio of the variance of the residuals to the variance of the ...

  7. 42 Billion Reasons Investors Should Be Extra Careful With ...

    www.aol.com/42-billion-reasons-investors-extra...

    MSTR data by YCharts. The danger for investors, however, is that raising capital to acquire a digital asset like Bitcoin can be an extremely risky move. If there's a downturn or a drop in Bitcoin ...

  8. Mean squared prediction error - Wikipedia

    en.wikipedia.org/wiki/Mean_squared_prediction_error

    First, with a data sample of length n, the data analyst may run the regression over only q of the data points (with q < n), holding back the other n – q data points with the specific purpose of using them to compute the estimated model’s MSPE out of sample (i.e., not using data that were used in the model estimation process).

  9. MicroStrategy stock plummets 16% after new short bet with ...

    www.aol.com/finance/microstrategy-stock-faces...

    MicroStrategy shares plummeted more than 16% after short seller Citron Research said it had taken a new bet against the stock, which has gained over 500% this year.Even with Thursday's decline ...