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  2. Informant (statistics) - Wikipedia

    en.wikipedia.org/wiki/Informant_(statistics)

    Since the score is a function of the observations, which are subject to sampling error, it lends itself to a test statistic known as score test in which the parameter is held at a particular value. Further, the ratio of two likelihood functions evaluated at two distinct parameter values can be understood as a definite integral of the score ...

  3. Score test - Wikipedia

    en.wikipedia.org/wiki/Score_test

    If the null hypothesis is true, the likelihood ratio test, the Wald test, and the Score test are asymptotically equivalent tests of hypotheses. [8] [9] When testing nested models, the statistics for each test then converge to a Chi-squared distribution with degrees of freedom equal to the difference in degrees of freedom in the two models. If ...

  4. Multiple correspondence analysis - Wikipedia

    en.wikipedia.org/wiki/Multiple_correspondence...

    MCA is performed by applying the CA algorithm to either an indicator matrix (also called complete disjunctive table – CDT) or a Burt table formed from these variables. [citation needed] An indicator matrix is an individuals × variables matrix, where the rows represent individuals and the columns are dummy variables representing categories of the variables. [1]

  5. Levene's test - Wikipedia

    en.wikipedia.org/wiki/Levene's_test

    If the resulting p-value of Levene's test is less than some significance level (typically 0.05), the obtained differences in sample variances are unlikely to have occurred based on random sampling from a population with equal variances. Thus, the null hypothesis of equal variances is rejected and it is concluded that there is a difference ...

  6. Partial autocorrelation function - Wikipedia

    en.wikipedia.org/wiki/Partial_autocorrelation...

    Partial autocorrelation function of Lake Huron's depth with confidence interval (in blue, plotted around 0). In time series analysis, the partial autocorrelation function (PACF) gives the partial correlation of a stationary time series with its own lagged values, regressed the values of the time series at all shorter lags.

  7. Jarque–Bera test - Wikipedia

    en.wikipedia.org/wiki/Jarque–Bera_test

    [2] MATLAB includes an implementation of the Jarque–Bera test, the function "jbtest". Python statsmodels includes an implementation of the Jarque–Bera test, "statsmodels.stats.stattools.py". R includes implementations of the Jarque–Bera test: jarque.bera.test in the package tseries, [3] for example, and jarque.test in the package moments. [4]

  8. Bitcoin could soar to $500,000 if the US starts buying the ...

    www.aol.com/bitcoin-could-soar-500-000-195728585...

    Bitcoin could soar to $500,000 if Trump creates a national reserve, Bitwise CIO Matt Hougan said.. The US creating a national stockpile will influence other countries to follow suit, he predicted ...

  9. Wald test - Wikipedia

    en.wikipedia.org/wiki/Wald_test

    [15] [5] For example, asking whether R = 1 is the same as asking whether log R = 0; but the Wald statistic for R = 1 is not the same as the Wald statistic for log R = 0 (because there is in general no neat relationship between the standard errors of R and log R, so it needs to be approximated).