منابع مشابه
Regression Model Estimation Using Least Absolute Deviations , Least Squares Deviations and Minimax Absolute Deviations Criteria
Regression models and their statistical analyses is the most important tool used by scientists in data analyses especially for modeling the relationship among random variables and making predictions with higher accuracy. A fundamental problem in the theory of errors, which has drawn attention of leading mathematicians and scientists since past few centuries, was that of fitting functions. For t...
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This study is an investigation of fuzzy linear regression model for crisp/fuzzy input and fuzzy output data. A least absolutes deviations approach to construct such a model is developed by introducing and applying a new metric on the space of fuzzy numbers. The proposed approach, which can deal with both symmetric and non-symmetric fuzzy observations, is compared with several existing models by...
متن کاملDesign of Adaptive Filters Using Least Pth Norm Algorithm
Adaptive filters play a vital role in digital signal processing applications. In this paper, a new approach for the design and implementation of adaptive filters say FIR and IIR are analyzed. The filter design is based on least pth norm algorithm and the characteristics of the individual filters are also taken into consideration. Least pth norm algorithm is considered for the design because it ...
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[2] J. A. Kong, r‘ Reciprocity relationships for bianisotropic media, ” Proc. IEEE (Lett. ), vol. 58, PP. 1966–1967, Dec. 1970. [3] 1. V. Linden, “Some properties of Iossless bianisotropic media, ” Pr’oc. IEEE (Lett. ), vol. 60, PP. 463–464, Apr. 1972. [4] R. C. Costenand D. Adamson, “Three-dimensional derivation of the electrodynamics jump conditions and momentum-energy laws at a moving bounda...
متن کاملfuzzy linear regression based on least absolutes deviations
this study is an investigation of fuzzy linear regression model for crisp/fuzzy input and fuzzy output data. a least absolutes deviations approach to construct such a model is developed by introducing and applying a new metric on the space of fuzzy numbers. the proposed approach, which can deal with both symmetric and non-symmetric fuzzy observations, is compared with several existing models by...
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ژورنال
عنوان ژورنال: Journal of Approximation Theory
سال: 1975
ISSN: 0021-9045
DOI: 10.1016/0021-9045(75)90093-3