Fuzzy regression models (FRMs) are used to describe the contribution of the corresponding
fuzzy explanatory variables in explaining the fuzzy response variable. The selection of …

在传统的时间序列预测模型难以揭示复杂非线性动态金融系统的内在规律的情况下,
定量方法在金融市场中的应用引起了研究者和管理者的极大关注. 本文基于模糊技术 …

Electronic Journal of Applied Statistical Analysis EJASA, Electron. J. App. Stat. Anal. e-ISSN:
2070-5948 DOI: 10.1285/i20705948 Page 1 Electronic Journal of Applied Statistical …

In this paper, previous studies about Fuzzy regression had been presented. The fuzzy
regression is a generalization of the traditional regression model that formulates a fuzzy …

This paper focuses on comparing two nonparametric methods of constructing confidence
intervals: the maximum entropy (ME) and the empirical likelihood (EL). The objective is to …

Regresyon modelleri; mühendislik, sosyal bilimler ve birçok bilim dalında kullanılmaktadır.
Bu çalışmada, eksik sunumlu denklem sistemleriyle gösterilen regresyon modellerin …

In this paper, previous studies about Fuzzy regression had been presented. The fuzzy
regression is a generalization of the traditional regression model that formulates a fuzzy …

‎ It limits us‎,‎ in other words‎,‎ the data does not meet a set of requirements‎.‎ The generalized
entropy method is able to estimate the model parameters‎‎ Regression is without applying …

Bridge regression is a special family of penalized regressions using a penalty function􏽐| Aj| c
with c≥ 1 that for c 1 and c 2, it concludes lasso and ridge regression, respectively. In …

چکیدهیکی از مهم‌ترین مشکلات روش‌های اقتصاد‌سنجی موجود جهت تخمین پارامترهای مورد نظر به‌ویژه
در تحقیقات اقتصاد کشاورزی، عدم وجود داده‌های لازم و لذا کاهش شدید و یا در برخی موارد منفی شدن …‎