Preliminary-test estimation in a dynamic linear model
نویسندگان
چکیده
منابع مشابه
A dynamic test for misspecification of a linear model
Various linear models may be specified when attempting to estimate an apparent linear trend in real data sets, based on assumptions about the possibly unknown mechanism for generating the data. However, in many cases the best-fit line obtained from implementation of the specified model does not agree at all with the apparent trend in a scatterplot of the data, based on the evident geometric str...
متن کاملPreliminary results on multi-body dynamic simulation of a new test rig for wheel-rail contact
The ability to perform rolling contact fatigue (RCF) experiments in wheel–rail material is provided by a new small–scale test rig, manifesting the actual dynamic behaviour of the railway system. In this paper, a multi-body dynamics (MBD) model is proposed, simulating the vibration behaviour of the prescribed rig. The new testing facility is modelled using a three-dimensional model of the vehicl...
متن کاملPreliminary results on dynamic analysis of a new test rig for wheel-rail contact studies
A new reduced–scale test rig is developed owing to significantly contribute to the applicability of the laboratory tests on rolling contact fatigue (RCF) in wheel-rail material. This paper introduces the dynamic analysis of the test rig, in order to assess the vibration behaviour of the system with respect to contact phenomenon. Finite element modelling (FEM) is used to simulate the mecha...
متن کاملShrinkage Preliminary Test Estimation under a Precautionary Loss Function with Applications on Records and Censored Ddata
Shrinkage preliminary test estimation in exponential distribution under a precautionary loss function is considered. The minimum risk-unbiased estimator is derived and some shrinkage preliminary test estimators are proposed. We apply our results on censored data and records. The relative efficiencies of proposed estimators with respect to the minimum ‎risk-unbiased‎&...
متن کاملMaximum Likelihood Estimation of Parameters in Generalized Functional Linear Model
Sometimes, in practice, data are a function of another variable, which is called functional data. If the scalar response variable is categorical or discrete, and the covariates are functional, then a generalized functional linear model is used to analyze this type of data. In this paper, a truncated generalized functional linear model is studied and a maximum likelihood approach is used to esti...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Economics Letters
سال: 1994
ISSN: 0165-1765
DOI: 10.1016/0165-1765(93)00317-h