Bootstrap in Fuzzy Least Squaras Regression
Authors
Abstract:
This article doesn't have abstract
similar resources
PEDOMODELS FITTING WITH FUZZY LEAST SQUARES REGRESSION
Pedomodels have become a popular topic in soil science and environmentalresearch. They are predictive functions of certain soil properties based on other easily orcheaply measured properties. The common method for fitting pedomodels is to use classicalregression analysis, based on the assumptions of data crispness and deterministic relationsamong variables. In modeling natural systems such as s...
full textFUZZY 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...
full textpedomodels fitting with fuzzy least squares regression
pedomodels have become a popular topic in soil science and environmentalresearch. they are predictive functions of certain soil properties based on other easily orcheaply measured properties. the common method for fitting pedomodels is to use classicalregression analysis, based on the assumptions of data crispness and deterministic relationsamong variables. in modeling natural systems such as s...
full textFuzzy least-squares algorithms for interactive fuzzy linear regression models
Fuzzy regression analysis can be thought of as a fuzzy variation of classical regression analysis. It has been widely studied and applied in diverse areas. In general, the analysis of fuzzy regression models can be roughly divided into two categories. The 0rst is based on Tanaka’s linear-programming approach. The second category is based on the fuzzy least-squares approach. In this paper, new t...
full textfuzzy 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...
full textRegression Analysis in a Spatial–Temporal Context: Least Squares, Generalized Least Squares, and the Use of the Bootstrap
In many ecological studies, data are collected at different locations over time, with interest in building a regressionmodel for how one variable depends on its past values and current valuesof a predictorvariable.Our motivation is an example investigatingthe effects of mouse populations on the level of gypsy moth populationswithin a model accounting for the previousyear’s gypsymoth values.With...
full textMy Resources
Journal title
volume 15 issue 1
pages 56- 69
publication date 2010-09
By following a journal you will be notified via email when a new issue of this journal is published.
No Keywords
Hosted on Doprax cloud platform doprax.com
copyright © 2015-2023