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uncertainty is represented by a probability function, in our theory, uncertainty is given in the form of a likelihood function … extracted from statistical evidence. The likelihood principle in statistics stipulates that likelihood functions encode all … that defines the likelihood of a set of hypotheses as the maximum likelihood over the elements of the set. We justify an …
Persistent link: https://www.econbiz.de/10009430923
performance: the generalized score interval; the robust profile likelihood interval; a new, modified generalized score interval …
Persistent link: https://www.econbiz.de/10009431232
This article considers a methodology for flexibly characterizing the relationship between a response and multiple predictors. Goals are (1) to estimate the conditional response distribution addressing the distributional changes across the predictor space, and (2) to identify important predictors...
Persistent link: https://www.econbiz.de/10009475527
This paper derives the exact distribution of the maximum likelihood estimator of a first-order linear autoregression … estimator is ρT-consistent. Further, the likelihood ratio test statistic for a simple hypothesis on the autoregressive parameter …). 'Likelihood analysis of a first-order autoregressive model with exponential innovations', Journal of Time Series Analysis, 24 …
Persistent link: https://www.econbiz.de/10009441481
A mixture model incorporating long-term survivors has been adopted in the field of biostatistics where some individuals may never experience the failure event under study. The surviving fractions may be considered as cured. In most applications, the survival times are assumed to be independent....
Persistent link: https://www.econbiz.de/10009448034
exactly describe the Maximum Likelihood Estimator (MLE) in terms of convolution under a certain model for ideal images formed …
Persistent link: https://www.econbiz.de/10009448050
Recently, researchers have reformulated Item Response Theory (IRT) models into multilevel models to evaluate clustered data appropriately. Using a multilevel model to obtain item difficulty and person ability parameter estimates that correspond directly with IRT models’ parameters is often...
Persistent link: https://www.econbiz.de/10009429290
Item Response Theory (IRT) models are the basis of modern educational measurement. In order to increase testing efficiency, modern tests make ample use of groups of questions associated with a single stimulus (testlets). This violates the IRT assumption of local independence. However, a set of...
Persistent link: https://www.econbiz.de/10009429369
This dissertation compares the parameter estimates obtained from two item response theory (IRT) models: the 1-PL IRT model and the MC1-PL IRT model. Several scenarios were explored in which both unidimensional and multidimensional item-level and personal-level data were used to generate the item...
Persistent link: https://www.econbiz.de/10009456838
investigated were five proficiency estimators: maximum likelihood estimates, expected a posteriori, maximum a posteriori, summed …
Persistent link: https://www.econbiz.de/10009466042