Version 1.2.0 New features Maximum Entropy bootstrapping for dependent and non-stationary datasets (MaximumEntropySampling), contributed by Rory Finnegan (@rofinn). Changes Transition tests from FactCheck to Base.Test. Introduces StatsModels as a new dependency which is now the new home of Formulas. Use vectorized function calls for Distribution functions. Removes the dependency on Compat. Support Requires julia 0.6 or newer Drops support for julia 0.
We provide a unified framework for analyzing bootstrapped extremum estimators of nonlinear dynamic m...
The bootstrap is a method for estimating the distribution of an estimator or test statistic by resam...
Version 2.0.1 Changes Fix Documenter version to v0.19 for building the documentation (#35) Fix conv...
Version 1.1.0 Changes Adds compatibility with julia 0.6 development versions, including automated t...
Version 2.2.0 Changes Support StatsModels v0.6 with FormulaTerm. Contributed by Dave Kleinschmidt (...
Version 2.3.0 Changes Performance improvements through parameterized types. Contributed by David Wi...
Version 2.2.1 Changes Use upper bounds for dependencies. Contributed by Milan Bouchet-Valat (@nalim...
Version 2.0.0 Interface changes Put the function argument first in the signatures (#26): Changes th...
A bootstrap approach is a superior statistical method for the comparison of non-normal data with dif...
The Bootstrap is the most widely used resampling statistical method. This method becomes very popula...
Version 2.1.0 Changes Update continuous integration configuration (#39) Widen the signature for dra...
Version 2.3.2 Changes Extend supported versions of DataFrames to v1.0. Contributed by Bogumił Kamiń...
DataEnvelopmentAnalysis v0.8.0 Diff since v0.7.3 Add Bootstrap Radial DEA Model. Add Returns to Sca...
Abstract. Bootstrap ideas yield remarkably effective algorithms for realizing certain pro-grams in s...
International audienceThe bootstrap is a technique for performing statistical inference. The underly...
We provide a unified framework for analyzing bootstrapped extremum estimators of nonlinear dynamic m...
The bootstrap is a method for estimating the distribution of an estimator or test statistic by resam...
Version 2.0.1 Changes Fix Documenter version to v0.19 for building the documentation (#35) Fix conv...
Version 1.1.0 Changes Adds compatibility with julia 0.6 development versions, including automated t...
Version 2.2.0 Changes Support StatsModels v0.6 with FormulaTerm. Contributed by Dave Kleinschmidt (...
Version 2.3.0 Changes Performance improvements through parameterized types. Contributed by David Wi...
Version 2.2.1 Changes Use upper bounds for dependencies. Contributed by Milan Bouchet-Valat (@nalim...
Version 2.0.0 Interface changes Put the function argument first in the signatures (#26): Changes th...
A bootstrap approach is a superior statistical method for the comparison of non-normal data with dif...
The Bootstrap is the most widely used resampling statistical method. This method becomes very popula...
Version 2.1.0 Changes Update continuous integration configuration (#39) Widen the signature for dra...
Version 2.3.2 Changes Extend supported versions of DataFrames to v1.0. Contributed by Bogumił Kamiń...
DataEnvelopmentAnalysis v0.8.0 Diff since v0.7.3 Add Bootstrap Radial DEA Model. Add Returns to Sca...
Abstract. Bootstrap ideas yield remarkably effective algorithms for realizing certain pro-grams in s...
International audienceThe bootstrap is a technique for performing statistical inference. The underly...
We provide a unified framework for analyzing bootstrapped extremum estimators of nonlinear dynamic m...
The bootstrap is a method for estimating the distribution of an estimator or test statistic by resam...
Version 2.0.1 Changes Fix Documenter version to v0.19 for building the documentation (#35) Fix conv...