Search Results - "Communications in statistics. Theory and methods"
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Unbiased variable importance for random forests
Published in Communications in statistics. Theory and methods (04-03-2022)“…The default variable-importance measure in random forests, Gini importance, has been shown to suffer from the bias of the underlying Gini-gain splitting…”
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Reliability analysis for stress-strength model from a general family of truncated distributions under censored data
Published in Communications in statistics. Theory and methods (02-08-2020)“…Under progressive Type-II censoring, inference of stress-strength reliability (SSR) is studied for a general family of lower truncated distributions. When the…”
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A note on Whittaker-Henderson graduation: Bisymmetry of the smoother matrix
Published in Communications in statistics. Theory and methods (02-04-2020)“…Whittaker-Henderson (WH) graduation is a popular smoothing method that has been used for mortality table construction in the actuarial sciences and for the…”
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Multi-sample test for high-dimensional covariance matrices
Published in Communications in statistics. Theory and methods (03-07-2018)Get full text
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Some Results for Beta Fréchet Distribution
Published in Communications in statistics. Theory and methods (01-01-2011)“…Nadarajah and Gupta ( 2004 ) introduced the beta Fréchet (BF) distribution, which is a generalization of the exponentiated Fréchet (EF) and Fréchet…”
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Kernel Density Estimator From Ranked Set Samples
Published in Communications in statistics. Theory and methods (15-05-2014)“…We study kernel density estimator from the ranked set samples (RSS). In the kernel density estimator, the selection of the bandwidth gives strong influence on…”
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The logistic-X family of distributions and its applications
Published in Communications in statistics. Theory and methods (16-12-2016)“…The logistic distribution has a prominent role in the theory and practice of statistics. We introduce a new family of continuous distributions generated from a…”
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A class of general pretest estimators for the univariate normal mean
Published in Communications in statistics. Theory and methods (18-04-2023)“…In this paper, we propose a class of general pretest estimators for the univariate normal mean. The main mathematical idea of the proposed class is the…”
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A new method for generating distributions with an application to exponential distribution
Published in Communications in statistics. Theory and methods (03-07-2017)“…A new method has been proposed to introduce an extra parameter to a family of distributions for more flexibility. A special case has been considered in detail,…”
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High-dimensional asymptotic expansion of the null distribution for Schott's test statistic for complete independence of normal random variables
Published in Communications in statistics. Theory and methods (01-02-2024)“…This article is concerned with the testing complete independence for the elements of observed vector. Schott proposed the testing statistic T and gave limiting…”
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Adaptive optimal scaling of Metropolis-Hastings algorithms using the Robbins-Monro process
Published in Communications in statistics. Theory and methods (01-09-2016)“…We present an adaptive method for the automatic scaling of random-walk Metropolis-Hastings algorithms, which quickly and robustly identifies the scaling factor…”
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A robust Spearman correlation coefficient permutation test
Published in Communications in statistics. Theory and methods (18-03-2024)“…In this work, we show that Spearman's correlation coefficient test about H 0 : ρ s = 0 found in most statistical software is theoretically incorrect and…”
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Coordinate optimization for generalized fused Lasso
Published in Communications in statistics. Theory and methods (11-11-2021)“…Fused Lasso is one of extensions of Lasso to shrink differences of parameters. We focus on a general form of it called generalized fused Lasso (GFL). The…”
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A mixture autoregressive model based on Student's t-distribution
Published in Communications in statistics. Theory and methods (17-01-2023)“…A new mixture autoregressive model based on Student's t-distribution is proposed. A key feature of our model is that the conditional t-distributions of the…”
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