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Fuzzy linear regression models with fuzzy entropy
Fuzzy numbers Fuzzy linear regression Fuzzy entropy
2010/9/15
Fuzzy regression analysis using fuzzy linear models with symmetric triangular fuzzy number coefficient has been introduced by Tanaka et al.The goal of this regression is to find the coefficient of a p...
Exact distributions for sensitivity analysis in linear regression
Diagnostic outlier Cook’s distance elliptical law
2010/9/15
Based on a multivariate linear regression model, we propose several generalizations to the multivariate classical and modified Cook’s distances in order to detect one or more influential observations ...
Orthogonal linear regression in Roentgen stereophotogrammetry
mathematical photogrammetry projective geometry
2010/9/15
Rooted in aerial reconnaissance, mathematical photogrammetry has evolved into a mainstay of biomedical image processing. The present paper develops an algorithm for Roentgen stereophotogrammetry, a me...
Consider the partly linear regression model y_i = x'_iβ + g(t_i) + ε_i, 1 ≤ i ≤ n, where y_i's are responses, x_i = (x_i1,x_i2,…,x_ip)＇ and t_i ∈ Τ are known and nonrandom design Τ is a compact set in...
Delete-group Jackknife Estimate in Partially Linear Regression Models with Heteroscedasticity
partially linear regression model asymptotic variance
2007/12/10
Consider a partially linear regression model with an unknown vector parameter β, an unknown function g(·), and unknown heteroscedastic error variances. Chen, You~([23]) proposed a semiparametric gener...
