[PDF] Top 20 Score tests in generalized linear measurement error models
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Score tests in generalized linear measurement error models
... The solid line is the density estimate based 01\ all the data, while the dashed line is the estimate for the 37 cases of breast. cancer[r] ... See full document
21
Sequential regression measurement error models with application
... regression models using the covariates revealed by the end of the current stage, but this is only practical if the number of covariates is not too ...the score (linear predictor) from the model ... See full document
24
Deconvolution based score tests in measurement error models
... This is noteworthy in the case of normal measurement error, where the squared error rate of convergence for estimating a density is of order {log(n)}-2, while that for estimating m(w) is[r] ... See full document
11
Generalized Inference in Linear Regression Models
... in linear regression under both ho- moscedasticity and heteroscedasticity of the error ...and generalized confidence intervals for regression coeffi- cients of linear regression ...the ... See full document
106
Detection of Outliers and Influential Observations in Linear Ridge Measurement Error Models with Stochastic Linear Restrictions
... the linear ridge measurement error model with stochastic linear restrictions based on the corrected likelihood of Nakamura [3], and we investigated the performance of the mixed ridge ... See full document
12
Unbiased estimation of a nonlinear function of a normal mena with application to measurement-error models
... Key Words and Phrases: errors-in-variables; functional models; generalized linear model; H-estimation; measurement error; structural IIIOdels; unbiased estimation... ABSTRACT.[r] ... See full document
26
Estimators For Generalized Linear Measurement Error Models With Interaction Terms
... regression measurement error models with interaction ...of error-prone predictor also exists and is shown. The conditional-score estimating equations for Θ are derived and it is shown ... See full document
115
Instrumental variable estimation in generalized linear measurement error models
... The problem of finding efficient, consistent estimators of parameters for a general regression function in the presence of covariate measurement error has not been solved. The problem wi[r] ... See full document
115
Correcting data for measurement error in generalized linear models
... As all of the bias-adjusted estimators are modified M-estimators or what might be called pseudo M-estimators, a routine though tedious application of the delta method yields standard lar[r] ... See full document
20
Efficient estimation in a class of generalized linear measurement-error models
... Of the more popular generalized linear models (McCullugh & NeIder, 1983) (MI) excludes only the normal model, for which Bickel & Ritov (1986) have already constructed efficient e[r] ... See full document
34
On the goodness of fit of generalized linear geostatistical models
... to generalized lin- ear geostatistical models and illustrate its application to river-blindness ...The generalized coefficient of determination has a more intuitive interpretation than other measures ... See full document
7
Generalized Linear Models in Vehicle Insurance
... The generalized linear models provide relatively simple and robust way to analyze the eff ect of many diff erent factors on some observed event. The GLMs are used for valuation of insurance policies ... See full document
6
StMoMo: An R Package for Stochastic Mortality Modelling
... several models on a given dataset or a given model to different ...common models available in the mortality forecasting ...other models preferred by the user can be created in a very simple fashion, ... See full document
40
Costly Infidelity: Low Lifetime Fitness of Extra-Pair Offspring in a Passerine Bird
... animal models to es- timate additive genetic variation, EPO in song sparrows were shown to have lower genetic value to survive to recruitment than the WPOp that the EPO replaced (Reid and Sardell ... See full document
13
Assessing Puberty in Ex Situ Cheetahs (Acinonyx jubatus) via Growth Patterns and Fecal Hormone Metabolites.
... Figure A3.1 Generalized linear mixed models (GLMM) for (A) mean estrogens and (B) baseline estrogens in female cheetahs ...123 Figure A3.2 Generalized linear mixed models (GLMM) for ([r] ... See full document
143
Hausman tests for the error distribution in conditionally heteroskedastic models
... the generalized QMLE (GQMLE) in Francq and Zako¨ıan (2013) and the least absolute deviation estimator (LADE) in Peng and Yao (2003) to propose the so-called GQMLE-based and LADE-based Hausman tests, ...all ... See full document
27
Approximate quasilikelihood estimation in measurement error models
... One can thus summarize the paper as having: (i) developed very broad classes of models and estimators; (li) taken explicit account of the types of data sets, including validation and rep[r] ... See full document
25
Mean and median bias reduction in generalized linear models
... in generalized linear ...adjusted score functions in ...regression models can be easily estimated with all methods using the equivalent Pois- son log-linear ... See full document
17
Fitting Models of Vulnerability to Toxicity with Generalized Linear Models
... GLM are extensions of traditional regression models that allow the mean to depend on the explanatory variables through a link function (e.g. log, logit, probit, cloglog, identity, sqrt) and the response variable ... See full document
12
CPMCGLM: an R package for p-value adjustment when looking for an optimal transformation of a single explanatory variable in generalized linear models
... For instance, let us consider a categorical transfor- mation of X. When the optimal set of cutoff points is unknown, the subjectivity of the choice of this set may lead to the testing of more than one set of values, to ... See full document
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