نتایج جستجو برای: fuzzy nonparametric regression

تعداد نتایج: 418555  

Journal: :Journal of Multivariate Analysis 2013

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 ...

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...

F. Momeni, S. Shokri,

Nonparametric control charts are presented in order to figure out the problem of detecting changes in the process median (or mean)‎, ‎or changes in the variability process where there is limited knowledge regarding the underlying process‎. ‎When observations are reported imprecise‎, ‎then it is impossible to use classical nonparametric control charts‎. ‎This paper is devoted to the problem of c...

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