Choice of Parametric and Nonparametric Statistical Procedures in Clinical and Biomedical Research
Sokoto Journal of Medical Laboratory Science, 2019 Statistical literacy is essential in biomedical research as an author or reader. Lack of basic statistical knowledge as well as inappropriate statistical tool choice hinders understanding of biomedical research as well as its application.
Okoroiwu, U.H.* and Akwiwu C.E.
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SCAD-penalized regression in high-dimensional partially linear models
, 2009 We consider the problem of simultaneous variable selection and estimation in partially linear models with a divergent number of covariates in the linear part, under the assumption that the vector of regression coefficients is sparse.
Huang, Jian, Xie, Huiliang
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Estimation of the density of regression errors
, 2006 Estimation of the density of regression errors is a fundamental issue in regression analysis and it is typically explored via a parametric approach. This article uses a nonparametric approach with the mean integrated squared error (MISE) criterion.
Efromovich, Sam
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A loss function approach to model specification testing and its relative efficiency
, 2013 The generalized likelihood ratio (GLR) test proposed by Fan, Zhang and Zhang [Ann. Statist. 29 (2001) 153-193] and Fan and Yao [Nonlinear Time Series: Nonparametric and Parametric Methods (2003) Springer] is a generally applicable nonparametric inference
Hong, Yongmiao, Lee, Yoon-Jin
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ANALISIS MODEL REGRESI NONPARAMETRIK SIRKULAR-LINEAR BERGANDA
E-Jurnal Matematika, 2016 Circular data are data which the value in form of vector is circular data. Statistic analysis that is used in analyzing circular data is circular statistics analysis.
KOMANG CANDRA IVAN +2 more
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Spectral statistics of large dimensional Spearman's rank correlation matrix and its application
, 2015 Let $\mathbf{Q}=(Q_1,\ldots,Q_n)$ be a random vector drawn from the uniform distribution on the set of all $n!$ permutations of $\{1,2,\ldots,n\}$. Let $\mathbf{Z}=(Z_1,\ldots,Z_n)$, where $Z_j$ is the mean zero variance one random variable obtained by ...
Bao, Zhigang +3 more
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The benchden Package: Benchmark Densities for Nonparametric Density Estimation
Journal of Statistical Software, 2012 This article describes the benchden package which implements a set of 28 example densities for nonparametric density estimation in R. In addition to the usual functions that evaluate the density, distribution and quantile functions or generate random ...
Thoralf Mildenberger, Henrike Weinert
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Sparsity oracle inequalities for the Lasso
, 2007 This paper studies oracle properties of $\ell_1$-penalized least squares in nonparametric regression setting with random design. We show that the penalized least squares estimator satisfies sparsity oracle inequalities, i.e., bounds in terms of the ...
Bunea, Florentina +2 more
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Estimation and model specification testing in nonparametric and semiparametric econometric models [PDF]
This paper considers two classes of semiparametric nonlinear regression models, in which nonlinear components are introduced to reflect the nonlinear fluctuation in the mean.
Gao, Jiti, King, Maxwell
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Nonparametric Statistics on Magnetic Properties at the Footpoints of Erupting Magnetic Flux Ropes
The Astrophysical JournalIt is under debate whether the magnetic field in the solar atmosphere carries neutralized electric currents, in particular, whether a magnetic flux rope (MFR), which is considered the core structure of coronal mass ejections, carries neutralized electric
Rui Liu, Wensi Wang
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