StatsUtil (MeteoInfoLib 1.8 API)

java.lang.Object
- org.meteoinfo.math.stats.StatsUtil

```
public class StatsUtil
extends Object
```
作者:

Yaqiang Wang

构造器概要

构造器
构造器说明

StatsUtil()

构造器
构造器	说明
`StatsUtil()`

方法概要

所有方法静态方法具体方法
限定符和类型	方法	说明
`static double[]`	`chiSquareTest(ucar.ma2.Array o)`	Chi-square test of independence
`static double[]`	`chiSquareTest(ucar.ma2.Array e, ucar.ma2.Array o)`	Chi-square test
`static Object`	`cov(ucar.ma2.Array a, boolean bias)`	Computes covariances for columns of a matrix.
`static ucar.ma2.Array`	`cov(ucar.ma2.Array x, ucar.ma2.Array y, boolean bias)`	Computes covariances for pairs of arrays or columns of a matrix.
`static double`	`covariance(ucar.ma2.Array x, ucar.ma2.Array y, boolean bias)`	Computes covariance of two arrays.
`static double`	`kendalltau(ucar.ma2.Array x, ucar.ma2.Array y)`	Calculates Kendall's tau, a correlation measure for ordinal data.
`static ucar.ma2.Array[]`	`multipleLineRegress_OLS(ucar.ma2.Array y, ucar.ma2.Array x)`	Implements ordinary least squares (OLS) to estimate the parameters of a multiple linear regression model.
`static ucar.ma2.Array[]`	`multipleLineRegress_OLS(ucar.ma2.Array y, ucar.ma2.Array x, boolean noIntercept)`	Implements ordinary least squares (OLS) to estimate the parameters of a multiple linear regression model.
`static double[]`	`pairedTTest(ucar.ma2.Array a, ucar.ma2.Array b)`	Paired test evaluating the null hypothesis that the mean difference between corresponding (paired) elements of the double[] arrays sample1 and sample2 is zero.
`static double[]`	`pearsonr(ucar.ma2.Array x, ucar.ma2.Array y)`	Calculates a Pearson correlation coefficient.
`static ucar.ma2.Array[]`	`pearsonr(ucar.ma2.Array x, ucar.ma2.Array y, int axis)`	Calculates a Pearson correlation coefficient.
`static double`	`percentile(ucar.ma2.Array a, double p)`	Returns an estimate of the pth percentile of the values in the array.
`static ucar.ma2.Array`	`percentile(ucar.ma2.Array a, double p, int axis)`	Returns an estimate of the pth percentile of the values in the array along an axis.
`static Object`	`spearmanr(ucar.ma2.Array a)`	Computes Spearman's rank correlation for columns of a matrix.
`static ucar.ma2.Array`	`spearmanr(ucar.ma2.Array x, ucar.ma2.Array y)`	Computes Spearman's rank correlation for pairs of arrays or columns of a matrix.
`static double[]`	`tTest(ucar.ma2.Array a, double mu)`	One sample t test
`static double[]`	`tTest(ucar.ma2.Array a, ucar.ma2.Array b)`	unpaired, two-sided, two-sample t-test.

从类继承的方法 java.lang.Object
clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

- 构造器详细资料
  - StatsUtil
```
public StatsUtil()
```
- 方法详细资料
  - covariance
```
public static double covariance(ucar.ma2.Array x,
                                ucar.ma2.Array y,
                                boolean bias)
```
    Computes covariance of two arrays.
    
    参数:
    
    x - X data
    
    y - Y data
    
    bias - If true, returned value will be bias-corrected
    
    返回:
    
    The covariance
  - cov
```
public static ucar.ma2.Array cov(ucar.ma2.Array x,
                                 ucar.ma2.Array y,
                                 boolean bias)
```
    Computes covariances for pairs of arrays or columns of a matrix.
    
    参数:
    
    x - X data
    
    y - Y data
    
    bias - If true, returned value will be bias-corrected
    
    返回:
    
    The covariance matrix
  - cov
```
public static Object cov(ucar.ma2.Array a,
                         boolean bias)
```
    Computes covariances for columns of a matrix.
    
    参数:
    
    a - Matrix data
    
    bias - If true, returned value will be bias-corrected
    
    返回:
    
    Covariant matrix or value
  - kendalltau
```
public static double kendalltau(ucar.ma2.Array x,
                                ucar.ma2.Array y)
```
    Calculates Kendall's tau, a correlation measure for ordinal data.
    
    参数:
    
    x - X data
    
    y - Y data
    
    返回:
    
    Kendall's tau correlation.
  - pearsonr
```
public static double[] pearsonr(ucar.ma2.Array x,
                                ucar.ma2.Array y)
```
    Calculates a Pearson correlation coefficient.
    
    参数:
    
    x - X data
    
    y - Y data
    
    返回:
    
    Pearson correlation and p-value.
  - pearsonr
```
public static ucar.ma2.Array[] pearsonr(ucar.ma2.Array x,
                                        ucar.ma2.Array y,
                                        int axis)
                                 throws ucar.ma2.InvalidRangeException
```
    Calculates a Pearson correlation coefficient.
    
    参数:
    
    x - X data
    
    y - Y data
    
    axis - Special axis for calculation
    
    返回:
    
    Pearson correlation and p-value.
    
    抛出:
    
    ucar.ma2.InvalidRangeException
  - spearmanr
```
public static ucar.ma2.Array spearmanr(ucar.ma2.Array x,
                                       ucar.ma2.Array y)
```
    Computes Spearman's rank correlation for pairs of arrays or columns of a matrix.
    
    参数:
    
    x - X data
    
    y - Y data
    
    返回:
    
    Spearman's rank correlation
  - spearmanr
```
public static Object spearmanr(ucar.ma2.Array a)
```
    Computes Spearman's rank correlation for columns of a matrix.
    
    参数:
    
    a - Matrix data
    
    返回:
    
    Spearman's rank correlation
  - multipleLineRegress_OLS
```
public static ucar.ma2.Array[] multipleLineRegress_OLS(ucar.ma2.Array y,
                                                       ucar.ma2.Array x)
```
    Implements ordinary least squares (OLS) to estimate the parameters of a multiple linear regression model.
    
    参数:
    
    y - Y sample data - one dimension array
    
    x - X sample data - two dimension array
    
    返回:
    
    Estimated regression parameters and residuals
  - multipleLineRegress_OLS
```
public static ucar.ma2.Array[] multipleLineRegress_OLS(ucar.ma2.Array y,
                                                       ucar.ma2.Array x,
                                                       boolean noIntercept)
```
    Implements ordinary least squares (OLS) to estimate the parameters of a multiple linear regression model.
    
    参数:
    
    y - Y sample data - one dimension array
    
    x - X sample data - two dimension array
    
    noIntercept - No intercept
    
    返回:
    
    Estimated regression parameters and residuals
  - percentile
```
public static double percentile(ucar.ma2.Array a,
                                double p)
```
    Returns an estimate of the pth percentile of the values in the array.
    
    参数:
    
    a - Input array
    
    p - The percentile value to compute
    
    返回:
    
    The pth percentile
  - percentile
```
public static ucar.ma2.Array percentile(ucar.ma2.Array a,
                                        double p,
                                        int axis)
                                 throws ucar.ma2.InvalidRangeException
```
    Returns an estimate of the pth percentile of the values in the array along an axis.
    
    参数:
    
    a - Input array
    
    p - The percentile value to compute
    
    axis - The axis
    
    返回:
    
    The pth percentile
    
    抛出:
    
    ucar.ma2.InvalidRangeException
  - tTest
```
public static double[] tTest(ucar.ma2.Array a,
                             double mu)
```
    One sample t test
    
    参数:
    
    a - Input data
    
    mu - Expected value in null hypothesis
    
    返回:
    
    t_statistic and p_value
  - tTest
```
public static double[] tTest(ucar.ma2.Array a,
                             ucar.ma2.Array b)
```
    unpaired, two-sided, two-sample t-test.
    
    参数:
    
    a - Sample a.
    
    b - Sample b.
    
    返回:
    
    t_statistic and p_value
  - pairedTTest
```
public static double[] pairedTTest(ucar.ma2.Array a,
                                   ucar.ma2.Array b)
```
    Paired test evaluating the null hypothesis that the mean difference between corresponding (paired) elements of the double[] arrays sample1 and sample2 is zero.
    
    参数:
    
    a - Sample a.
    
    b - Sample b.
    
    返回:
    
    t_statistic and p_value
  - chiSquareTest
```
public static double[] chiSquareTest(ucar.ma2.Array e,
                                     ucar.ma2.Array o)
```
    Chi-square test
    
    参数:
    
    e - Expected.
    
    o - Observed.
    
    返回:
    
    Chi-square_statistic and p_value
  - chiSquareTest
```
public static double[] chiSquareTest(ucar.ma2.Array o)
```
    Chi-square test of independence
    
    参数:
    
    o - Observed.
    
    返回:
    
    Chi-square_statistic and p_value

类 StatsUtil

构造器概要

方法概要

从类继承的方法 java.lang.Object

构造器详细资料

StatsUtil

方法详细资料

covariance

cov

cov

kendalltau

pearsonr

pearsonr

spearmanr

spearmanr

multipleLineRegress_OLS

multipleLineRegress_OLS

percentile

percentile

tTest

tTest

pairedTTest

chiSquareTest

chiSquareTest