Uses of Interface
com.numericalmethod.suanshu.stats.random.sampler.resampler.bootstrap.block.PattonPolitisWhite2009ForObject.AutoCorrelationForObject

Packages that use PattonPolitisWhite2009ForObject.AutoCorrelationForObject

Package	Description
com.numericalmethod.suanshu.stats.random.sampler.resampler.bootstrap.block

Uses of PattonPolitisWhite2009ForObject.AutoCorrelationForObject in com.numericalmethod.suanshu.stats.random.sampler.resampler.bootstrap.block

Methods in com.numericalmethod.suanshu.stats.random.sampler.resampler.bootstrap.block with parameters of type PattonPolitisWhite2009ForObject.AutoCorrelationForObject

Modifier and Type	Method and Description
static long	PattonPolitisWhite2009ForObject.getOptimalBlockLength(Object[] x, PattonPolitisWhite2009ForObject.AutoCorrelationForObject autoCorrelation, PattonPolitisWhite2009ForObject.AutoCovarianceForObject autoCovariance, PattonPolitisWhite2009ForObject.Type type) Computes the optimal of block length.
static long	PattonPolitisWhite2009ForObject.getOptimalLag(Object[] x, PattonPolitisWhite2009ForObject.AutoCorrelationForObject R) Finds the smallest lag \(\hat{m}\) such that the autocorrelation for lags \((\hat{m} + k),~k=1,\dots,K_N\) are all insignificant regarding to the critical value.

Constructors in com.numericalmethod.suanshu.stats.random.sampler.resampler.bootstrap.block with parameters of type PattonPolitisWhite2009ForObject.AutoCorrelationForObject

Constructor and Description
PattonPolitisWhite2009ForObject(X[] sample, Class<X> clazz, PattonPolitisWhite2009ForObject.AutoCorrelationForObject autoCorrelation, PattonPolitisWhite2009ForObject.AutoCovarianceForObject autoCovariance) Constructs a block bootstrap sample generator.
PattonPolitisWhite2009ForObject(X[] sample, Class<X> clazz, PattonPolitisWhite2009ForObject.AutoCorrelationForObject autoCorrelation, PattonPolitisWhite2009ForObject.AutoCovarianceForObject autoCovariance, PattonPolitisWhite2009ForObject.Type type) Constructs a block bootstrap sample generator.
PattonPolitisWhite2009ForObject(X[] sample, Class<X> clazz, PattonPolitisWhite2009ForObject.AutoCorrelationForObject autoCorrelation, PattonPolitisWhite2009ForObject.AutoCovarianceForObject autoCovariance, PattonPolitisWhite2009ForObject.Type type, RandomLongGenerator uniform, RandomNumberGenerator rng) Constructs a block bootstrap sample generator.