Results 231 to 240 of about 12,305 (283)
Improving the Analysis of KCCQ Endpoints in Heart Failure Clinical Trials. [PDF]
Myte R +5 more
europepmc +1 more source
Insulin resistance assessed by estimated glucose disposal rate and risk of coronary artery calcification in middle-aged participants without diabetes undergoing health check-ups. [PDF]
Huang Y +9 more
europepmc +1 more source
A tobit model with garch errors [PDF]
In the context of time series regression, we extend the standard Tobit model to allow for the possibility of conditional heteroskedastic error processes of the GARCH type. We discuss the likelihood function of the Tobit model in the presence of conditionally heteroskedastic errors.
CALZOLARI, GIORGIO, FIORENTINI, GABRIELE
openaire +3 more sources
A Scriptural Model for the Song of Tobit (Tobit 13.1–18)
The aim of this study is to look afresh at the scriptural sources underlying the Song of Tobit in Tobit 13 and to suggest a scriptural model for the authorial/editorial shaping of this Song in terms of the Kingship of YHWH Psalms in the Psalter. The study proceeds with an investigation of the group of psalms commonly designated Kingship of YHWH Psalms,
Ruth Henderson
core +3 more sources
A Generalized Logistic Tobit Model [PDF]
This paper proposes the use of a generalisation of the Logistic distribution, the Burr Type II distribution, as the error structure in a Type I (Standard) Tobit model. The use of the Burr II is motivated through both an heterogeneity argument and by noticing the need for potentially non-symmetric distributions in Tobit models.
Fry, Tim R. L., Fry, Tim R. L.
openaire +2 more sources
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Testing the Normality Assumption in the Tobit Model
Journal of Applied Statistics, 2004This paper examines a number of statistics that have been proposed to test the normality assumption in the tobit (censored regression) model. It argues that a number of commonly proposed statistics can be interpreted as different versions of the Lagrange multiplier, or score, test for a common null hypothesis.
exaly +4 more sources

