نتایج جستجو برای: nonparametric quintile regression

تعداد نتایج: 333001  

Journal: :The Annals of Statistics 2016

Journal: :Journal of Statistical Planning and Inference 2016

Azadeh Saki, Hamed Tabesh, Samira Mardaniyan,

In many area of medical research, a relation analysis between one response variable and some explanatory variables is desirable. Regression is the most common tool in this situation. If we have some assumptions for such normality for response variable, we could use it. In this paper we propose a nonparametric regression that does not have normality assumption for response variable and we focus ...

Journal: :iranian journal of health sciences 0
hamed tabesh ph.d. of biostatistics, department of biostatistics and epidemiology, school of health, ahvaz jundishapur university of medical sciences azadeh saki ph.d. of biostatistics, department of biostatistics and epidemiology, school of health, ahvaz jundishapur university of medical sciences samira mardaniyan msc. student of biostatistics, department of biostatistics and epidemiology, school of health, ahvaz jundishapur university of medical sciences

in many area of medical research, a relation analysis between one response variable and some explanatory variables is desirable. regression is the most common tool in this situation. if we have some assumptions for such normality for response variable, we could use it. in this paper we propose a nonparametric regression that does not have normality assumption for response variable and we focus ...

Ebrahim Falahi, Farzad Ebrahimzadeh, Khatere Anbari, Sajjad Roosta,

Background: Metabolic syndrome (MetS) is a complex disorder considered as a worldwide epidemic. The aim of this study was to characterize the dietary patterns of Iranian adults and examine its association with metabolic syndrome. Methods: In this cross-sectional study, 973 persons were selected using multi-stage cluster, random sampling method in Khorramabad city. Dietary intake was assessed us...

2015
Larry Wasserman

is called the regression function (of Y on X). The basic goal in nonparametric regression is to construct an estimate f̂ of f0, from i.i.d. samples (x1, y1), . . . (xn, yn) ∈ R × R that have the same joint distribution as (X,Y ). We often call X the input, predictor, feature, etc., and Y the output, outcome, response, etc. Importantly, in nonparametric regression we do not assume a certain param...

Journal: :The Annals of Mathematical Statistics 1971

Journal: :Journal of the American Statistical Association 2013

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