Works matching IS 09434062 AND DT 2022 AND VI 37 AND IP 4
Results: 20
Estimation and inferences for varying coefficient partially nonlinear quantile models with censoring indicators missing at random.
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- Computational Statistics, 2022, v. 37, n. 4, p. 1727, doi. 10.1007/s00180-021-01192-2
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Prediction of times to failure of censored units under generalized progressive hybrid censoring scheme.
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- Computational Statistics, 2022, v. 37, n. 4, p. 2049, doi. 10.1007/s00180-021-01191-3
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Flexible, non-parametric modeling using regularized neural networks.
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- Computational Statistics, 2022, v. 37, n. 4, p. 2029, doi. 10.1007/s00180-021-01190-4
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Bivariate elliptical regression for modeling interval-valued data.
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- Computational Statistics, 2022, v. 37, n. 4, p. 2003, doi. 10.1007/s00180-021-01189-x
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Shapiro-Wilk test for multivariate skew-normality.
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- Computational Statistics, 2022, v. 37, n. 4, p. 1985, doi. 10.1007/s00180-021-01188-y
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A new non-archimedean metric on persistent homology.
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- Computational Statistics, 2022, v. 37, n. 4, p. 1963, doi. 10.1007/s00180-021-01187-z
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Hybrid MLP-IDW approach based on nearest neighbor for spatial prediction.
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- Computational Statistics, 2022, v. 37, n. 4, p. 1943, doi. 10.1007/s00180-021-01186-0
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A computationally efficient approach to estimating species richness and rarefaction curve.
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- Computational Statistics, 2022, v. 37, n. 4, p. 1919, doi. 10.1007/s00180-021-01185-1
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Unified mean-variance feature screening for ultrahigh-dimensional regression.
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- Computational Statistics, 2022, v. 37, n. 4, p. 1887, doi. 10.1007/s00180-021-01184-2
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RMSE-minimizing confidence intervals for the binomial parameter.
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- Computational Statistics, 2022, v. 37, n. 4, p. 1855, doi. 10.1007/s00180-021-01183-3
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Models under which random forests perform badly; consequences for applications.
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- Computational Statistics, 2022, v. 37, n. 4, p. 1839, doi. 10.1007/s00180-021-01182-4
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Reliability inference for multicomponent stress–strength model from Kumaraswamy-G family of distributions based on progressively first failure censored samples.
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- Computational Statistics, 2022, v. 37, n. 4, p. 1795, doi. 10.1007/s00180-021-01180-6
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The truncated g-and-h distribution: estimation and application to loss modeling.
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- Computational Statistics, 2022, v. 37, n. 4, p. 1771, doi. 10.1007/s00180-021-01179-z
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New classes of tests for the Weibull distribution using Stein's method in the presence of random right censoring.
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- Computational Statistics, 2022, v. 37, n. 4, p. 1751, doi. 10.1007/s00180-021-01178-0
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Gumbel's bivariate exponential distribution: estimation of the association parameter using ranked set sampling.
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- Computational Statistics, 2022, v. 37, n. 4, p. 1695, doi. 10.1007/s00180-021-01176-2
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Markovchart: an R package for cost-optimal patient monitoring and treatment using control charts.
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- Computational Statistics, 2022, v. 37, n. 4, p. 1653, doi. 10.1007/s00180-021-01175-3
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Penalized wavelet estimation and robust denoising for irregular spaced data.
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- Computational Statistics, 2022, v. 37, n. 4, p. 1621, doi. 10.1007/s00180-021-01174-4
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Statistical modeling of directional data using a robust hierarchical von mises distribution model: perspectives for wind energy.
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- Computational Statistics, 2022, v. 37, n. 4, p. 1599, doi. 10.1007/s00180-021-01173-5
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Accelerated failure time models for recurrent event data analysis and joint modeling.
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- Computational Statistics, 2022, v. 37, n. 4, p. 1569, doi. 10.1007/s00180-021-01171-7
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Modified minimum distance estimators: definition, properties and applications.
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- Computational Statistics, 2022, v. 37, n. 4, p. 1551, doi. 10.1007/s00180-021-01170-8
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