Results 31 to 40 of about 2,678,398 (281)
Identifying Outlier Observations in Linear - Circular Regression Model
پژوهشهای ریاضی, 2020 One way to identify outlier observations in regression models, is to measure the difference between the observations and their expected values under fitted model. This identification in circular regression, is possible by using of a circular distance. In
Seyede Sedighe Azimi +1 more
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Varying-coefficient functional linear regression [PDF]
, 2010 Functional linear regression analysis aims to model regression relations which include a functional predictor. The analog of the regression parameter vector or matrix in conventional multivariate or multiple-response linear regression models is a ...
Fan, Jianqing +2 more
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Characteristics and Properties of a Simple Linear Regression Model
Folia Oeconomica Stetinensia, 2016 A simple linear regression model is one of the pillars of classic econometrics. Despite the passage of time, it continues to raise interest both from the theoretical side as well as from the application side.
Kowal Robert
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Modelling Background Noise in Finite Mixtures of Generalized Linear Regression Models [PDF]
, 2008 In this paper we show how only a few outliers can completely break down EM-estimation of mixtures of regression models. A simple, yet very effective way of dealing with this problem, is to use a component where all regression parameters are fixed to zero
Brito, Paula, Leisch, Friedrich
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Pediatric Blood &Cancer, EarlyView.ABSTRACT Purpose Metabolic syndrome (MetS) is a common complication in survivors of childhood acute lymphoblastic and myeloid leukemia (AL), and a major risk factor for premature cardiovascular disease, type‐2‐diabetes, and metabolic dysfunction‐associated steatotic liver disease (MASLD).
Visentin Sandrine +10 more
wiley +1 more source
A mixture of linear-linear regression models for a linear-circular regression [PDF]
Statistical Modelling, 2019 We introduce a new approach to a linear-circular regression problem that relates multiple linear predictors to a circular response. We follow a modelling approach of a wrapped normal distribution that describes angular variables and angular distributions and advances them for a linear-circular regression analysis.
Sikaroudi, Ali Esmaieeli, Park, Chiwoo
openaire +3 more sources
Admissibility of the usual confidence interval in linear regression
, 2010 Consider a linear regression model with independent and identically normally distributed random errors. Suppose that the parameter of interest is a specified linear combination of the regression parameters. We prove that the usual confidence interval for
Giri, Khageswor +2 more
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Pediatric Blood &Cancer, EarlyView.ABSTRACT Background The Improving Population Outcomes for Renal Tumours of childhood (IMPORT) is a prospective clinical observational study capturing detailed demographic and outcome data on children and young people diagnosed with renal tumours in the United Kingdom and the Republic of Ireland.
Naomi Ssenyonga +56 more
wiley +1 more source
Linear and Non-Linear Regression: Powerful and Very Important Forecasting Methods [PDF]
Expert Journal of Business and Management, 2015 Regression Analysis is at the center of almost every Forecasting technique, yet few people are comfortable with the Regression methodology. We hope to improve the level of comfort with this article.
Athanasios VASILOPOULOS
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FLCRM: Functional Linear Cox Regression Model [PDF]
Biometrics, 2017 SummaryWe consider a functional linear Cox regression model for characterizing the association between time-to-event data and a set of functional and scalar predictors. The functional linear Cox regression model incorporates a functional principal component analysis for modeling the functional predictors and a high-dimensional Cox regression model to ...
Dehan Kong +3 more
openaire +3 more sources