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#Org.apache.commons.math3.stat Classes and Interfaces - 81 results found.
| Name | Description | Type | Package | Framework |
| AbstractMultipleLinearRegression | Abstract base class for implementations of MultipleLinearRegression. | Class | org.apache.commons.math3.stat.regression | Apache Commons |
| AbstractStorelessUnivariateStatistic | Abstract implementation of the StorelessUnivariateStatistic interface. | Class | org.apache.commons.math3.stat.descriptive | Apache Commons |
| AbstractUnivariateStatistic | Abstract base class for all implementations of the UnivariateStatistic interface. | Class | org.apache.commons.math3.stat.descriptive | Apache Commons |
| AggregateSummaryStatistics | An aggregator for SummaryStatistics from several data sets or data set partitions. | Class | org.apache.commons.math3.stat.descriptive | Apache Commons |
| AgrestiCoullInterval | Class | org.apache.commons.math3.stat.interval | Apache Commons | |
| AlternativeHypothesis | enum AlternativeHypothesisRepresents an alternative hypothesis for a hypothesis test. | Class | org.apache.commons.math3.stat.inference | Apache Commons |
| BinomialConfidenceInterval | Interface to generate confidence intervals for a binomial proportion. | Interface | org.apache.commons.math3.stat.interval | Apache Commons |
| BinomialTest | Exact test for the statistical significance of deviations from a theoretically expected distribution of observations into two categories. | Class | org.apache.commons.math3.stat.inference | Apache Commons |
| ChiSquareTest | This implementation handles both known and unknown distributions. | Class | org.apache.commons.math3.stat.inference | Apache Commons |
| ClopperPearsonInterval | Class | org.apache.commons.math3.stat.interval | Apache Commons | |
| Cluster | Cluster holding a set of Clusterable points. | Class | org.apache.commons.math3.stat.clustering | Apache Commons |
| Clusterable | Interface for points that can be clustered together. | Interface | org.apache.commons.math3.stat.clustering | Apache Commons |
| ConfidenceInterval | Represents an interval estimate of a population parameter. | Class | org.apache.commons.math3.stat.interval | Apache Commons |
| Covariance | Computes covariances for pairs of arrays or columns of a matrix. | Class | org.apache.commons.math3.stat.correlation | Apache Commons |
| DBSCANClusterer | DBSCAN (density-based spatial clustering of applications with noise) algorithm. | Class | org.apache.commons.math3.stat.clustering | Apache Commons |
| DescriptiveStatistics | Maintains a dataset of values of a single variable and computes descriptive statistics based on stored data. | Class | org.apache.commons.math3.stat.descriptive | Apache Commons |
| EuclideanDoublePoint | A simple implementation of Clusterable for points with double coordinates. | Class | org.apache.commons.math3.stat.clustering | Apache Commons |
| EuclideanIntegerPoint | A simple implementation of Clusterable for points with integer coordinates. | Class | org.apache.commons.math3.stat.clustering | Apache Commons |
| Frequency | Maintains a frequency distribution. | Class | org.apache.commons.math3.stat | Apache Commons |
| GeometricMean | geometric mean of the available values. | Class | org.apache.commons.math3.stat.descriptive.moment | Apache Commons |
| GLSMultipleLinearRegression | The GLS implementation of multiple linear regression. | Class | org.apache.commons.math3.stat.regression | Apache Commons |
| GTest | This is known in statistical genetics as the McDonald-Kreitman test. | Class | org.apache.commons.math3.stat.inference | Apache Commons |
| IntervalUtils | Factory methods to generate confidence intervals for a binomial proportion. | Class | org.apache.commons.math3.stat.interval | Apache Commons |
| KendallsCorrelation | A pair of observations (x1, y1) and (x2, y2) are considered concordant if | Class | org.apache.commons.math3.stat.correlation | Apache Commons |
| KMeansPlusPlusClusterer | Clustering algorithm based on David Arthur and Sergei Vassilvitski k-means++ algorithm. | Class | org.apache.commons.math3.stat.clustering | Apache Commons |
| KMeansPlusPlusClusterer .EmptyClusterStrategy | Strategies to use for replacing an empty cluster. | Class | org.apache.commons.math3.stat.clustering.KMeansPlusPlusClusterer | Apache Commons |
| KolmogorovSmirnovTest | Kolmogorov-Smirnov (K-S) test for equality of continuous distributions. | Class | org.apache.commons.math3.stat.inference | Apache Commons |
| Kurtosis | Computes the Kurtosis of the available values. | Class | org.apache.commons.math3.stat.descriptive.moment | Apache Commons |
| MannWhitneyUTest | An implementation of the Mann-Whitney U test (also called Wilcoxon rank-sum test). | Class | org.apache.commons.math3.stat.inference | Apache Commons |
| Max | Returns the maximum of the available values. | Class | org.apache.commons.math3.stat.descriptive.rank | Apache Commons |
| Mean | Computes the arithmetic mean of a set of values. | Class | org.apache.commons.math3.stat.descriptive.moment | Apache Commons |
| Median | Returns the median of the available values. | Class | org.apache.commons.math3.stat.descriptive.rank | Apache Commons |
| MillerUpdatingRegression | This class is a concrete implementation of the UpdatingMultipleLinearRegression interface. | Class | org.apache.commons.math3.stat.regression | Apache Commons |
| Min | Returns the minimum of the available values. | Class | org.apache.commons.math3.stat.descriptive.rank | Apache Commons |
| ModelSpecificationException | Exception thrown when a regression model is not correctly specified. | Class | org.apache.commons.math3.stat.regression | Apache Commons |
| MultipleLinearRegression | The multiple linear regression can be represented in matrix-notation. | Interface | org.apache.commons.math3.stat.regression | Apache Commons |
| MultivariateSummaryStatistics | Computes summary statistics for a stream of n-tuples added using the addValue method. | Class | org.apache.commons.math3.stat.descriptive | Apache Commons |
| NaNStrategy | Strategies for handling NaN values in rank transformations. | Class | org.apache.commons.math3.stat.ranking | Apache Commons |
| NaturalRanking | Ranking based on the natural ordering on doubles. | Class | org.apache.commons.math3.stat.ranking | Apache Commons |
| NormalApproximationInterval | Class | org.apache.commons.math3.stat.interval | Apache Commons | |
| OLSMultipleLinearRegression | multiple linear regression model. | Class | org.apache.commons.math3.stat.regression | Apache Commons |
| OneWayAnova | Tests for differences between two or more categories of univariate data (for example, the body mass index of accountants, lawyers, doctors and | Class | org.apache.commons.math3.stat.inference | Apache Commons |
| PearsonsCorrelation | Computes Pearson's product-moment correlation coefficients for pairs of arrays or columns of a matrix. | Class | org.apache.commons.math3.stat.correlation | Apache Commons |
| Percentile | Provides percentile computation. | Class | org.apache.commons.math3.stat.descriptive.rank | Apache Commons |
| Percentile .EstimationType | An enum for various estimation strategies of a percentile referred in wikipedia on quantile | Class | org.apache.commons.math3.stat.descriptive.rank.Percentile | Apache Commons |
| Product | Returns the product of the available values. | Class | org.apache.commons.math3.stat.descriptive.summary | Apache Commons |
| PSquarePercentile | A StorelessUnivariateStatistic estimating percentiles using the Algorithm as explained by Raj | Class | org.apache.commons.math3.stat.descriptive.rank | Apache Commons |
| PSquarePercentile .PSquareMarkers | An interface that encapsulates abstractions of the P-square algorithm markers as is explained in the original works. | Interface | org.apache.commons.math3.stat.descriptive.rank.PSquarePercentile | Apache Commons |
| RankingAlgorithm | Interface representing a rank transformation. | Interface | org.apache.commons.math3.stat.ranking | Apache Commons |
| RegressionResults | Results of a Multiple Linear Regression model fit. | Class | org.apache.commons.math3.stat.regression | Apache Commons |
| SecondMoment | Computes a statistic related to the Second Central Moment. | Class | org.apache.commons.math3.stat.descriptive.moment | Apache Commons |
| SemiVariance | Computes the semivariance of a set of values with respect to a given cutoff value. | Class | org.apache.commons.math3.stat.descriptive.moment | Apache Commons |
| SemiVariance .Direction | The direction of the semivariance - either upside or downside. | Class | org.apache.commons.math3.stat.descriptive.moment.SemiVariance | Apache Commons |
| SimpleRegression | Estimates an ordinary least squares regression model with one independent variable. | Class | org.apache.commons.math3.stat.regression | Apache Commons |
| Skewness | Computes the skewness of the available values. | Class | org.apache.commons.math3.stat.descriptive.moment | Apache Commons |
| SpearmansCorrelation | Spearman's rank correlation. | Class | org.apache.commons.math3.stat.correlation | Apache Commons |
| StandardDeviation | Computes the sample standard deviation. | Class | org.apache.commons.math3.stat.descriptive.moment | Apache Commons |
| StatisticalMultivariateSummary | Reporting interface for basic multivariate statistics. | Interface | org.apache.commons.math3.stat.descriptive | Apache Commons |
| StatisticalSummary | Reporting interface for basic univariate statistics. | Interface | org.apache.commons.math3.stat.descriptive | Apache Commons |
| StatisticalSummaryValues | Value object representing the results of a univariate statistical summary. | Class | org.apache.commons.math3.stat.descriptive | Apache Commons |
| StatUtils | StatUtils provides static methods for computing statistics based on data stored in double[] arrays. | Class | org.apache.commons.math3.stat | Apache Commons |
| StorelessCovariance | Covariance implementation that does not require input data to be stored in memory. | Class | org.apache.commons.math3.stat.correlation | Apache Commons |
| StorelessUnivariateStatistic | increment(double) and incrementAll(double[]) methods for adding values and updating internal state. | Interface | org.apache.commons.math3.stat.descriptive | Apache Commons |
| Sum | Returns the sum of the available values. | Class | org.apache.commons.math3.stat.descriptive.summary | Apache Commons |
| SummaryStatistics | Computes summary statistics for a stream of data values added using the addValue method. | Class | org.apache.commons.math3.stat.descriptive | Apache Commons |
| SumOfLogs | Returns the sum of the natural logs for this collection of values. | Class | org.apache.commons.math3.stat.descriptive.summary | Apache Commons |
| SumOfSquares | Returns the sum of the squares of the available values. | Class | org.apache.commons.math3.stat.descriptive.summary | Apache Commons |
| SynchronizedDescriptiveStatistics | DescriptiveStatistics that is safe to use in a multithreaded environment. | Class | org.apache.commons.math3.stat.descriptive | Apache Commons |
| SynchronizedMultivariateSummaryStatistics | MultivariateSummaryStatistics that is safe to use in a multithreaded environment. | Class | org.apache.commons.math3.stat.descriptive | Apache Commons |
| SynchronizedSummaryStatistics | SummaryStatistics that is safe to use in a multithreaded environment. | Class | org.apache.commons.math3.stat.descriptive | Apache Commons |
| TestUtils | A collection of static methods to create inference test instances or to perform inference tests. | Class | org.apache.commons.math3.stat.inference | Apache Commons |
| TiesStrategy | Strategies for handling tied values in rank transformations. | Class | org.apache.commons.math3.stat.ranking | Apache Commons |
| TTest | An implementation for Student's t-tests. | Class | org.apache.commons.math3.stat.inference | Apache Commons |
| UnivariateStatistic | Base interface implemented by all statistics. | Interface | org.apache.commons.math3.stat.descriptive | Apache Commons |
| UpdatingMultipleLinearRegression | An interface for regression models allowing for dynamic updating of the data. | Interface | org.apache.commons.math3.stat.regression | Apache Commons |
| Variance | Computes the variance of the available values. | Class | org.apache.commons.math3.stat.descriptive.moment | Apache Commons |
| VectorialCovariance | Returns the covariance matrix of the available vectors. | Class | org.apache.commons.math3.stat.descriptive.moment | Apache Commons |
| VectorialMean | Returns the arithmetic mean of the available vectors. | Class | org.apache.commons.math3.stat.descriptive.moment | Apache Commons |
| WeightedEvaluation | Weighted evaluation for statistics. | Interface | org.apache.commons.math3.stat.descriptive | Apache Commons |
| WilcoxonSignedRankTest | An implementation of the Wilcoxon signed-rank test. | Class | org.apache.commons.math3.stat.inference | Apache Commons |
| WilsonScoreInterval | Class | org.apache.commons.math3.stat.interval | Apache Commons | |