نتایج جستجو برای: nonparametric quintile regression

تعداد نتایج: 333001  

Journal: :jundishapur journal of health sciences 0
abolfazl payandeh department of biostatistics, mashhad university of medical sciences, mashhad, ir iran mohammad taghi shakeri department of community medicine, mashhad university of medical sciences, mashhad, ir iran mohammad safarian department of biostatistics, mashhad university of medical sciences, mashhad, ir iran hamed tabesh

reference curves are useful tools to monitor children’s growth status and can promote growth velocity in infants. in this regard, various parametric and semi-parametric methods are frequently used in the last decades. in the present paper, nonparametric quintile regression method is used as a powerful and applicable methodology to estimate height curves and normal values of height-for-age in ch...

ژورنال: اندیشه آماری 2010
Baghaeipour, M, Torabi, H,

This article has no abstract.

2007
Jens J. Krüger

The issue of poverty traps is assessed using quantile regression. For that an augmentation of the usual convergence regressions by quadratic and cubic terms is used with emphasis on curve fitting rather than parameter estimation. The results show that the generic mechanism leading to poverty traps predominantly applies to countries with relatively low levels of income per capita or per worker t...

Journal: :Journal of Nonparametric Statistics 1994

Journal: :iranian journal of fuzzy systems 2012
rahman farnoosh javad ghasemian omid solaymani fard

this paper deals with ridge estimation of fuzzy nonparametric regression models using triangular fuzzy numbers. this estimation method is obtained by implementing ridge regression learning algorithm in the la- grangian dual space. the distance measure for fuzzy numbers that suggested by diamond is used and the local linear smoothing technique with the cross- validation procedure for selecting t...

Journal: :The Annals of Statistics 1977

Journal: :The Annals of Statistics 2016

Journal: :Journal of Econometrics 2015

Journal: :SSRN Electronic Journal 2010

Journal: :Journal of Statistical Software 2013

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