Works matching IS 09434062 AND DT 2014 AND VI 29 AND IP 5
Results: 25
Second-order least-squares estimation for regression models with autocorrelated errors.
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- Computational Statistics, 2014, v. 29, n. 5, p. 931, doi. 10.1007/s00180-013-0470-1
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On maximum likelihood estimation of the concentration parameter of von Mises-Fisher distributions.
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- Computational Statistics, 2014, v. 29, n. 5, p. 945, doi. 10.1007/s00180-013-0471-0
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On the zero-modified poisson model: Bayesian analysis and posterior divergence measure.
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- Computational Statistics, 2014, v. 29, n. 5, p. 959, doi. 10.1007/s00180-013-0473-y
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Estimation of relative risk using a log-binomial model with constraints.
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- Computational Statistics, 2014, v. 29, n. 5, p. 981, doi. 10.1007/s00180-013-0476-8
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Adaptive basis expansion via $$\ell _1$$ trend filtering.
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- Computational Statistics, 2014, v. 29, n. 5, p. 1005, doi. 10.1007/s00180-013-0477-7
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Bayesian approach for mixture models with grouped data.
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- Computational Statistics, 2014, v. 29, n. 5, p. 1025, doi. 10.1007/s00180-013-0478-6
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Phase and multifractality analyses of random price time series by finite-range interacting biased voter system.
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- Computational Statistics, 2014, v. 29, n. 5, p. 1045, doi. 10.1007/s00180-014-0479-0
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Statistical application of barycentric rational interpolants: an alternative to splines.
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- Computational Statistics, 2014, v. 29, n. 5, p. 1065, doi. 10.1007/s00180-014-0480-7
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Comparing exponential location parameters with several controls under heteroscedasticity.
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- Computational Statistics, 2014, v. 29, n. 5, p. 1083, doi. 10.1007/s00180-014-0481-6
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On the accuracy of statistical procedures in Microsoft Excel 2010.
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- Computational Statistics, 2014, v. 29, n. 5, p. 1095, doi. 10.1007/s00180-014-0482-5
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A sliced inverse regression approach for data stream.
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- Computational Statistics, 2014, v. 29, n. 5, p. 1129, doi. 10.1007/s00180-014-0483-4
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Improved confidence intervals for the scale parameter of Burr XII model based on record values.
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- Computational Statistics, 2014, v. 29, n. 5, p. 1153, doi. 10.1007/s00180-014-0484-3
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Comparing robust regression lines associated with two dependent groups when there is heteroscedasticity.
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- Computational Statistics, 2014, v. 29, n. 5, p. 1175, doi. 10.1007/s00180-014-0485-2
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A fast algorithm to sample the number of vertexes and the area of the random convex hull on the unit square.
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- Computational Statistics, 2014, v. 29, n. 5, p. 1187, doi. 10.1007/s00180-014-0486-1
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Recursive formulas for multinomial probabilities with applications.
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- Computational Statistics, 2014, v. 29, n. 5, p. 1207, doi. 10.1007/s00180-014-0487-0
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Validation tests for the innovation distribution in INAR time series models.
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- Computational Statistics, 2014, v. 29, n. 5, p. 1221, doi. 10.1007/s00180-014-0488-z
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Beran-based approach for single-index models under censoring.
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- Computational Statistics, 2014, v. 29, n. 5, p. 1243, doi. 10.1007/s00180-014-0489-y
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Bootstrap prediction intervals in beta regressions.
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- Computational Statistics, 2014, v. 29, n. 5, p. 1263, doi. 10.1007/s00180-014-0490-5
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Pitman closeness of $$k$$ -records from two sequences to progressive Type-II censored order statistics.
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- Computational Statistics, 2014, v. 29, n. 5, p. 1279, doi. 10.1007/s00180-014-0491-4
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Using RngStreams for parallel random number generation in C++ and R.
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- Computational Statistics, 2014, v. 29, n. 5, p. 1301, doi. 10.1007/s00180-014-0492-3
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An efficient algorithm for structured sparse quantile regression.
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- Computational Statistics, 2014, v. 29, n. 5, p. 1321, doi. 10.1007/s00180-014-0494-1
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A new resampling method for sampling designs without replacement: the doubled half bootstrap.
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- Computational Statistics, 2014, v. 29, n. 5, p. 1345, doi. 10.1007/s00180-014-0495-0
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Goodness-of-fit tests for a semiparametric model under random double truncation.
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- Computational Statistics, 2014, v. 29, n. 5, p. 1365, doi. 10.1007/s00180-014-0496-z
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Testing in linear composite quantile regression models.
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- Computational Statistics, 2014, v. 29, n. 5, p. 1381, doi. 10.1007/s00180-014-0497-y
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On the construction of an aggregated measure of the development of interval data.
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- Computational Statistics, 2014, v. 29, n. 5, p. 895, doi. 10.1007/s00180-013-0469-7
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