Results 41 to 50 of about 5,788,827 (317)
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
doaj
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
doaj +1 more source
FLCRM: Functional Linear Cox Regression Model
Biometrics, 2017 We consider a functional linear Cox regression model for characterizing the association between time‐to‐event data and a set of functional and scalar predictors.
Dehan Kong +3 more
semanticscholar +1 more source
Different distance measures for fuzzy linear regression with Monte Carlo methods [PDF]
, 2016 The aim of this study was to determine the best distance measure for estimating the fuzzy linear regression model parameters with Monte Carlo (MC) methods.
Cattaneo, Marco E.G.V., İçen, Duygu
core +2 more sources
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Families of children with cancer experience significant financial strain, even with universal healthcare. Indirect costs, such as productivity losses and non‐medical expenses, are rarely included in economic evaluations, and little is known about how effectively financial aid programmes alleviate this burden. Childhood brain tumours
Megumi Lim +8 more
wiley +1 more source
On Sparse Linear Regression in the Local Differential Privacy Model
IEEE Transactions on Information Theory, 2019 In this paper, we study the sparse linear regression problem under the Local Differential Privacy (LDP) model. We first show that polynomial dependency on the dimensionality $p$ of the space is unavoidable for the estimation error in both non ...
Di Wang, Jinhui Xu
semanticscholar +1 more source
European Journal of Operational Research, 2021 In the context of credit scoring, ensemble methods based on decision trees, such as the random forest method, provide better classification performance than standard logistic regression models.
Elena Dumitrescu +3 more
semanticscholar +1 more source
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background The management of clinically apparent single lesions or oligofocal nephroblastomatosis, a facultative precursor of nephroblastoma, remains debated. Methods We retrospectively analyzed 37 patients with clinically apparent single or oligofocal nephroblastomatosis (two to three lesions per kidney) among 2347 patients registered between
Nils Welter +17 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
doaj
Inpatient Food Insecurity and Pediatric Hematology Oncology Hospitalization Outcomes
Pediatric Blood &Cancer, EarlyView.ABSTRACT Children with cancer and blood disorders are at risk for food insecurity (FI). We aimed to describe the association of inpatient food insecurity (IFI) and hospitalization outcomes among patients admitted to the pediatric hematology oncology service. Of 325 caregivers screened for IFI, 60 (18.6%) screened positive.
Joanna M. Robles +4 more
wiley +1 more source