Applications and algorithms for least trimmed sum of absolute deviations regression

نویسندگان
چکیده

برای دانلود باید عضویت طلایی داشته باشید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

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...

متن کامل

Clusterwise Linear Regression with the Least Sum of Absolute Deviations – An MIP Approach

 In this paper, we study the application of mixed-integer programming (MIP) to the clusterwise linear regression (CLR) problem with the least sum of absolute deviations, which is a type of CLR problem that has received both theoretical and practical interests in recent years. We formulate the problem with a big-M formulation and investigate related issues, including the integration of outlier ...

متن کامل

The least trimmed quantile regression

The linear quantile regression estimator is very popular and widely used. It is also well known that this estimator can be very sensitive to outliers in the explanatory variables. In order to overcome this disadvantage, the usage of the least trimmed quantile regression estimator is proposed to estimate the unknown parameters in a robust way. As a prominent measure of robustness, the breakdown ...

متن کامل

FUZZY 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...

متن کامل

Least orthogonal absolute deviations problem for generalized logistic function ∗

We consider the existence of optimal parameters for generalized logistic model by least orthogonal absolute deviations, and prove the existence of such optimal solution, under the monotonicity condition on the data.

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: Computational Statistics & Data Analysis

سال: 1999

ISSN: 0167-9473

DOI: 10.1016/s0167-9473(99)00029-8