Results 41 to 50 of about 331,520 (189)
A Nonparametric Efficiency Analysis of California Cotton Ginning Cooperatives
In the spirit of Leamer's commitment to sensitivity analysis, we employ Farrell's nonparametric efficiency methodology and compare our results with those of Sexton, Wilson, and Wann.
Michael R. Caputo, Lori Lynch
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Bayesian nonparametric analysis of reversible Markov chains [PDF]
We introduce a three-parameter random walk with reinforcement, called the $(\theta,\alpha,\beta)$ scheme, which generalizes the linearly edge reinforced random walk to uncountable spaces.
Bacallado, Sergio +2 more
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Adaptive goodness-of-fit tests based on signed ranks [PDF]
Within the nonparametric regression model with unknown regression function $l$ and independent, symmetric errors, a new multiscale signed rank statistic is introduced and a conditional multiple test of the simple hypothesis $l=0$ against a nonparametric ...
Rohde, Angelika
core +4 more sources
This review article presents an assessment of trends in statistical methods and an evaluation of their appropriateness in articles published in the Archives of Plastic Surgery (APS) from 2012 to 2017.
Kyunghwa Han, Inkyung Jung
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Consistency of cross validation for comparing regression procedures
Theoretical developments on cross validation (CV) have mainly focused on selecting one among a list of finite-dimensional models (e.g., subset or order selection in linear regression) or selecting a smoothing parameter (e.g., bandwidth for kernel ...
Yang, Yuhong
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Non-Parametric Anova Methods Applied on Students' Performance Development in Course of Statistics
This study intends to use non-parametric statistical methods for comparison of mean values in assessing the changes of overall grades in basic statistics at the College of Polytechnics in Jihlava.
Martina Zámková +2 more
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Logarithmic Quantile Estimation for Rank Statistics [PDF]
We prove an almost sure weak limit theorem for simple linear rank statistics for samples with continuous distributions functions. As a corollary the result extends to samples with ties, and the vector version of an a.s.
Denker, Manfred, Tabacu, Lucia
core
We study semiparametric varying-coefficient partially linear models when some linear covariates are not observed, but ancillary variables are available.
Liang, Hua, Zhou, Yong
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Rates of convergence for the posterior distributions of mixtures of Betas and adaptive nonparametric estimation of the density [PDF]
In this paper, we investigate the asymptotic properties of nonparametric Bayesian mixtures of Betas for estimating a smooth density on $[0,1]$. We consider a parametrization of Beta distributions in terms of mean and scale parameters and construct a ...
Judith Rousseau +1 more
core +3 more sources
ANALISIS REGRESI NONPARAMETRIK SPLINE MULTIVARIAT UNTUK PEMODELAN INDIKATOR KEMISKINAN DI INDONESIA
The aim of this study is to obtain statistics models which explain the relationship between variables that influence the poverty indicators in Indonesia using multivariate spline nonparametric regression method.
DESAK AYU WIRI ASTITI +2 more
doaj +1 more source

