Results 51 to 60 of about 10,735,998 (316)
Multiple Linear Regression versus Automatic Linear Modelling
Arquivo Brasileiro de Medicina Veterinária e ZootecniaIn this study, performances of Multiple Linear Regression and Automatic Linear Modelling are compared for different sample sizes and number of predictors. A comprehensive Monte Carlo simulation study was carried out for this purpose.
S. Genç, M. Mendeş
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Local linear spatial quantile regression [PDF]
, 2009 Copyright @ 2009 International Statistical Institute / Bernoulli Society for Mathematical Statistics and Probability.Let {(Yi,Xi), i ∈ ZN} be a stationary real-valued (d + 1)-dimensional spatial processes.
Hallin, M, Lu, Z, Yu, K
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Current status linear regression
, 2017 We construct $\sqrt{n}$-consistent and asymptotically normal estimates for the finite dimensional regression parameter in the current status linear regression model, which do not require any smoothing device and are based on maximum likelihood estimates (
Groeneboom, Piet, Hendrickx, Kim
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Validating linear restrictions in linear regression models with general error structure [PDF]
, 2006 A new method for testing linear restrictions in linear regression models is suggested. It allows to validate the linear restriction, up to a specified approximation error and with a specified error probability.
Czado, Claudia +2 more
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Linear Regression with Censoring
Journal of Multivariate Analysis, 1994 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Srinivasan, C., Zhou, M.
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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 the complexity of switching linear regression [PDF]
, 2016 This technical note extends recent results on the computational complexity of globally minimizing the error of piecewise-affine models to the related problem of minimizing the error of switching linear regression models.
Lauer, Fabien
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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
Fuzzy Linear Regression of Rainfall-Altitude Relationship
Proceedings, 2018 Classical linear regression has been used to measure the relationship between rainfall data and altitude in different meteorological stations, in order to evaluate a linear relation.
Christos Tzimopoulos +3 more
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Consequences of ignoring clustering in linear regression
BMC Medical Research Methodology, 2021 Background Clustering of observations is a common phenomenon in epidemiological and clinical research. Previous studies have highlighted the importance of using multilevel analysis to account for such clustering, but in practice, methods ignoring ...
Georgia Ntani +3 more
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