نتایج جستجو برای: non linear variant regression

تعداد نتایج: 1994394  

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: :iranian journal of applied animal science 2015
s. jafari

a pedigree file consisting of 5860 individuals, 167 sires and 1582 dams collected at makooei sheep breeding station (msbs) during a period of 24 years (1990 to 2013) was used to calculate the inbreeding coefficients to reveal any probable effects of inbreeding (f) on the studied traits. the studied traits were classified to the five main groups including body weight, kleiber ratio, body measure...

Journal: :Bioinformatics 2011
Shujie Ma Lijian Yang Roberto Romero Yuehua Cui

MOTIVATION The genetic basis of complex traits often involves the function of multiple genetic factors, their interactions and the interaction between the genetic and environmental factors. Gene-environment (G×E) interaction is considered pivotal in determining trait variations and susceptibility of many genetic disorders such as neurodegenerative diseases or mental disorders. Regression-based ...

ژورنال: اندیشه آماری 2014
abedini, mahsa, kazemi, iraj,

In previous studies on fitting non-linear regression models with the symmetric structure the normality is usually assumed in the analysis of data. This choice may be inappropriate when the distribution of residual terms is asymmetric. Recently, the family of scale-mixture of skew-normal distributions is the main concern of many researchers. This family includes several skewed and heavy-tailed d...

Journal: :مهندسی بیوسیستم ایران 0
سینا احمدخانی کارشناس ارشد، گروه مهندسی بیوسیستم، دانشگاه تبریز اصغر محمودی دانشیار، گروه مهندسی بیوسیستم، دانشگاه تبریز کاوه ملازاده استادیار، گروه مهندسی بیوسیستم، دانشگاه کردستان حسین غفاری مربی، گروه مهندسی بیوسیستم، دانشگاه تبریز

quality evaluation is one of the effective activities in trade, economy and the health of communities. for this purpose, non-destructive methods are increasingly used, as they are faster and more economical in comparison with destructive ones. this study investigated the feasibility of predicting firmness by laser light backscattering imaging system, as a new non-destructive method for one cult...

Journal: :CoRR 2012
Hao Wooi Lim Yong Haur Tay

We present a method for visual object classification using only a single feature, transformed color SIFT [15] with a variant of Spatial Pyramid Matching (SPM) that we called Sliding Spatial Pyramid Matching (SSPM), trained with an ensemble of linear regression (provided by LINEAR) to obtained state of the art result on Caltech-101 [22] of 83.46%. SSPM is a special version of SPM where instead o...

پایان نامه :وزارت علوم، تحقیقات و فناوری - دانشگاه سیستان و بلوچستان 1390

seismic retrofit strategies have been developed in the past few decades following the introduction of new seismic provisions and the availability of advanced materials and methods. it can be observed that new approaches to deal with more lateral forces are more innovative and more energy absorbent. in line with this, there is a growing trend toward the use of steel shear walls as a system with ...

Journal: :نشریه دانشکده فنی 0
هومن نعیمی دانشگاه تهران mehrdad raisee دانشگاه تهران

the present paper deals with the prediction of three-dimensional fluid flow and heat transfer in rib-roughened ducts of square cross-section. such flows are of direct relevance to the internal cooling system of modern gas turbine blades. the main objective is to assess how a recently developed variant of a cubic non-linear model (proposed by craft et al. (1999)), that has been shown to produce ...

2004
ROGER KOENKER Richard Blundell

An algorithm for computing parametric linear quantile regression estimates subject to linear inequality constraints is described. The algorithm is a variant of the interior point algorithm described in Koenker and Portnoy (1997) for unconstrained quantile regression and is consequently quite efficient even for large problems, particularly when the inherent sparsity of the resulting linear algeb...

Journal: :Mathematical Methods of Statistics 2022

Mitscherlich’s function is a well-known three-parameter non-linear regression that quantifies the relation between stimulus or time variable and response. It has many applications, in particular field of measurement reliability. Optimal designs for estimation this have been constructed only normally distributed responses with homoscedastic variances. In paper we generalize literature to D-optim...

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