Results 101 to 110 of about 25,321,415 (248)
Analysis of the time to sustained progression in Multiple Sclerosis using generalised linear and additive models [PDF]
, 2003 The course of multiple sclerosis (MS) is generally difficult to predict. This is due to the great inter-individual variability with respect to symptoms and disability status.
Hellriegel, B. +5 more
core +1 more source
Appraisal Using Generalized Additive Models [PDF]
Many of the results from real estate empirical studies depend upon using a correct functional form for their validity. Unfortunately, common parametric statistical tools cannot easily control for the possibility of misspecification.
R. Kelley Pace
core
Spatio-temporal epidemic modelling using additive-multiplicative intensity models [PDF]
, 2008 An extension of the stochastic susceptible-infectious-recovered (SIR) model is proposed in order to accommodate a regression context for modelling infectious disease surveillance data. The proposal is based on a multivariate counting process specified by
Höhle, Michael
core +1 more source
Fitting Additive Binomial Regression Models with the R Package blm
Journal of Statistical Software, 2013 The R package blm provides functions for fitting a family of additive regression models to binary data. The included models are the binomial linear model, in which all covariates have additive effects, and the linear-expit (lexpit) model, which allows ...
Stephanie Kovalchik, Ravi Varadhan
doaj +1 more source
Efficacious additions to the Standard Model [PDF]
Physics Letters B, 2005 If split supersymmetry can be advocated as a means to have gauge-coupling unification as well as dark matter, another plausible scenario is to enlarge judiciously the particle content of the Standard Model to achieve the same goals without supersymmetry. A simple efficacious example is presented.
openaire +2 more sources
Component Analysis for Additive Models [PDF]
, 1997 We consider the component analysis problem for a regression model with an additive structure. The problem is to check the hypothesis of linearity for each component without specifying the structure of the remaining components. In this paper we show that under mild conditions on the design and smoothness of the regression function, each component can be
Härdle, Wolfgang +2 more
openaire +2 more sources
Additive models for quantile regression: model selection and confidence bandaids [PDF]
Additive models for conditional quantile functions provide an attractive framework for nonparametric regression applications focused on features of the response beyond its central tendency.
Roger Koenker
core
Design for wire and arc additive layer manufacture [PDF]
, 2010 Additive Layer Manufacture (ALM) is a technique whereby freeform structures are produced by building up material in layers. RUAM (Ready-to-Use Additive Layer Manufacturing) is an innovative concept for building large scale metal ready-to- use parts ...
H. Lockett +10 more
core +1 more source
Structured additive quantile regression with applications to modelling undernutrition and obesity of children [PDF]
, 2012 Quantile regression allows to model the complete conditional distribution of a response variable - expressed by its quantiles - depending on covariates, and thereby extends classical regression models which mainly address the conditional mean of a ...
Fenske, Nora
core
Additive manufacturing and high performance applications [PDF]
, 2018 The requirement on life and robustness for aero-engine components poses obstacles to additive manufacturing. It is expected that increasing knowledge about the process and thereby its development together with adaption of existing alloys may improve ...
Lindgren, Lars-Erik, +3 more
core +1 more source