• LIBRA

  • Referenced in 27 articles [sw10553]
  • univariate location, scale and skewness, multivariate location and covariance estimation (MCD), regression (LTS, MCD-regression ... classification (RDA, RSIMCA), clustering, outlier detection for skewed data (including the bagplot based on halfspace...
  • libstableR

  • Referenced in 3 articles [sw26128]
  • Evaluation, Random Number Generation and Parameter Estimation of Skew Stable Distributions. Tools for fast ... skew stable distributions (CDF, PDF and quantile functions), random number generation and parameter estimation...
  • SIMCAT

  • Referenced in 1 article [sw24662]
  • SIMCAT 1.0 also computes empirical and estimated skewness and kurtosis coefficients, such as the standard ... estimation method: standard error and bias, like the skewness and kurtosis coefficients...
  • betategarch

  • Referenced in 2 articles [sw26713]
  • package betategarch: Simulation, Estimation and Forecasting of Beta-Skew-t-EGARCH Models. Simulation, estimation...
  • gbs

  • Referenced in 24 articles [sw06078]
  • Birnbaum-Saunders (BS) model is a positively skewed statistical distribution that has received great attention ... random number generators from GBS distributions. Parameter estimates for censored and uncensored data can also...
  • LambertW

  • Referenced in 10 articles [sw06066]
  • skewed and heavy-tailed data: data can be simulated, parameters can be estimated from real...
  • Mesquite

  • Referenced in 36 articles [sw10590]
  • local size control, Improve angles, orthogonality, and skew, Increase minimum edge-lengths for increased time ... adapt meshes to solutions using error estimates. Mesquite improves surface or volume meshes which...
  • mvst

  • Referenced in 2 articles [sw15980]
  • package mvst. Estimates the multivariate skew-t and nested models, as described in the articles...
  • NEEP

  • Referenced in 1 article [sw36005]
  • high-throughput molecular survival analysis. Null Empirically Estimated P-values (NEEP) is a non-parametric ... across all molecular objects will be skewed. To estimate the correct p-values, we sample...
  • SSE

  • Referenced in 3 articles [sw15703]
  • methods implemented in the SSE (Self-similar Estimator) have been tested by computer simulation applying ... interval [1.43, 1.89], the skewness not observed because the estimated...
  • QMPE

  • Referenced in 2 articles [sw09192]
  • estimates, particularly when samples are small and skew is low, highlighting the difficulties of estimating...
  • skewtools

  • Referenced in 1 article [sw30335]
  • Kullback-Leibler divergence for Multivariate Skew-Elliptical distributions. 2. Estimation of Growth models parameters ... Regression Growth model with scale mixture of Skew-Normal distributions (Normal, T-Student ... Skew-Normal and Skew-t). Include Bootstrap and Jackknife methods to estimate the Variance-Covariance...
  • DiscreteLaplace

  • Referenced in 1 article [sw28039]
  • quantile function, random generation and estimation for the skew discrete Laplace distributions...
  • sld

  • Referenced in 2 articles [sw12208]
  • Estimation and Use of the Quantile-Based Skew Logistic Distribution. The skew logistic distribution ... Quantile plots and method of L-Moments estimation (including asymptotic standard errors) for the distribution...
  • MAINT.Data

  • Referenced in 1 article [sw17225]
  • possible configuration structures. The Skew-Normal parameters can be estimated by maximum likelihood, while Normal...
  • alphastable

  • Referenced in 1 article [sw26113]
  • stable distributions; 3- estimating the parameters of univariate symmetric stable, skew stable, Cauchy, multivariate elliptically...
  • normalr

  • Referenced in 0 articles [sw18450]
  • provide original and transformed estimates of skewness, kurtosis, and other inferential assessments of normality...
  • steadyICA

  • Referenced in 1 article [sw35833]
  • mutual independence based on distance covariance; -estimate independent components via infomax (a popular method ... order indepedent components by skewness; -match independent components from multiple estimates; -other functions useful...
  • Distributions.jl

  • Referenced in 5 articles [sw23197]
  • Particularly, Distributions implements: Moments (e.g mean, variance, skewness, and kurtosis), entropy, and other properties; Probability ... population or from a distribution; Maximum likelihood estimation...
  • LSDE

  • Referenced in 7 articles [sw15811]
  • graphical display, optimal filtering and maximum likelihood estimation of Linear Stochastic Differential Equations. Continuous time ... GGHF) utilizing higher order moments such as skewness and kurtosis...