نتایج جستجو برای: linear regression coefficient
تعداد نتایج: 867449 فیلتر نتایج به سال:
In this paper, a new method for estimating the linear regression coefficients approximation is presented based on Z-numbers. In this model, observations are real numbers, regression coefficients and dependent variables (y) have values for Z-numbers. To estimate the coefficients of this model, we first convert the linear regression model based on Z-numbers into two fuzzy linear regression mode...
Semiparametric models are often considered for analyzing longitudinal data for a good balance between flexibility and parsimony. In this paper, we study a class of marginal partially linear quantile models with possibly varying coefficients. The functional coefficients are estimated by basis function approximations. The estimation procedure is easy to implement, and it requires no specification...
In linear regression models with high dimensional data, the classical z-test (or t-test) for testing the significance of each single regression coefficient is no longer applicable. This is mainly because the number of covariates exceeds the sample size. In this paper, we propose a simple and novel alternative by introducing the Correlated Predictors Screening (CPS) method to control for predict...
We introduce a general formulation for dimension reduction and coefficient estimation in the multivariate linear model. We argue that many of the existing methods that are commonly used in practice can be formulated in this framework and have various restrictions. We continue to propose a new method that is more flexible and more generally applicable. The method proposed can be formulated as a ...
هدف این پروژه تخمین معادلاتی برای این نوع صفحات می باشد، که ضرایب شدت تنش و تمرکز تنش و مقادیر j-integral و سایر پارامترهای کنترلی را بر حسب هندسه شکل بیان می کنند. این معادلات از طریق تحلیلهای ترک بوسیله نرم افزار المان محدود ansys و با استفاده از روش non linear regression method به دست آمده اند و در نهایت منجر به معادلاتی می شوند که با داشتن ضریب تمرکز تنش (از یک تحلیل الاستیک ساد...
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