scalation

stat

package stat

The stat package contains classes, traits and objects for basic statistical functions and analyses.

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  1. class Anova extends AnyRef

    The Anova class provides the functions necessary for performing a one-way ANalysis Of VAriance (ANOVA) on the input data matrix x.

    The Anova class provides the functions necessary for performing a one-way ANalysis Of VAriance (ANOVA) on the input data matrix x. The data matrix: row i - i-th group/treatment column j - j-th replica

  2. class BatchVector extends AnyRef

    The BatchVector class contains a StatVector for maintaining experimental data in multiple batches and methods for computing statistics on these data.

    The BatchVector class contains a StatVector for maintaining experimental data in multiple batches and methods for computing statistics on these data. Ex: It can be used to support the Method of Batch Means (MBM).

  3. class GoodnessOfFit extends Error

    The GoodnessOfFit class is used to fit data to probability distibutions.

  4. class Histogram extends VizFrame

    The Histogram class takes a vector of values, counts the number of values in each of several intervals and displays the counts vertically in a histogram.

  5. class StatTable extends Frame

    The StatTable class display statistical results in a frame's table.

  6. class StatVector extends VectorD

    The StatVector class provides methods for computing common statistics on a data vector.

    The StatVector class provides methods for computing common statistics on a data vector. Both maximum likelihood (the default) and unbiased estimators are supported. Unbiased should only be used on sample (not population) data. Ex: It can be used to support the Method of Independent Replications (MIR).

  7. class Statistic extends Error

    The Statistic class is used to collect values and compute sample statistics on them (e.g., Waiting Time).

    The Statistic class is used to collect values and compute sample statistics on them (e.g., Waiting Time). Contrast with TimeStatistic defined below.

  8. class TimeStatistic extends Statistic

    The TimeStatistic class is used to collect values and compute time-persistent statistics on them (e.g., Number in Queue).

    The TimeStatistic class is used to collect values and compute time-persistent statistics on them (e.g., Number in Queue).

    See also

    http://staff.unak.is/andy/Year%203%20Simulation/Laboratories/v4manual/internal.htm

Value Members

  1. object AnovaTest extends App

    This object is used to test the Anova class.

    This object is used to test the Anova class.

    See also

    http://wiki.uiowa.edu/display/bstat/One-way+fixed+effects+ANOVA

  2. object BatchVectorTest extends App

    The BatchVectorTest object provides an example of how to use the BatchVector class to implement the Method of Batch Means (MBM).

  3. object GoodnessOfFitTest extends App

    The GoodnessOfFitTest object is used to test the GoodnessOfFit class.

    The GoodnessOfFitTest object is used to test the GoodnessOfFit class.

    See also

    http://www.seattlecentral.edu/qelp/sets/057/057.html

  4. object HistogramTest extends App

    The HistogramTest object is used to test the Histogram class.

  5. object MethodOfMoments

    The MethodOfMoments object provides methods for estimating parameters for popular probability distributions using the Method of Moments (MOM).

    The MethodOfMoments object provides methods for estimating parameters for popular probability distributions using the Method of Moments (MOM). The main alternative is to use Maximum Likelihood Estimators (MLE).

    See also

    http://www.math.uah.edu/stat/point/Moments.html

  6. object Q_Q_Plot

    The Q_Q_Plot object produces Quantile-Quantile plots that are used to compare probability distributions.

  7. object Q_Q_PlotTest extends App

    The Q_Q_PlotTest object is used to test the Q_Q_Plot object.

  8. object StatTableTest extends App

    The StatTableTest is used to test the StatTable class.

  9. object StatVector extends Serializable

    The StatVector companion object provides methods for building StatVectors.

  10. object StatVectorTest extends App

    The StatVectorTest object is used to test the StatVector class.

  11. object StatVectorTest2 extends App

    The StatVectorTest2 object provides an example of how to use the StatVector class to implement the Method of Independent Replications (MIR) following a simple two-stage procedure.

  12. object Statistic extends Error

    The Statistic companion object provides additional values and functions.

  13. object StatisticTest extends App

    The StatisticTest object is used to test the Statistic and TimeStatistic classes.

  14. object TimeStatistic extends Error

    The TimeStatistic companion object provides additional functions.

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