Results 271 to 280 of about 11,900,388 (297)
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Journal of applied measurement, 2014
Recently the linear logistic test model (LLTM) by Fischer (1973) is increasingly used. In applications of LLTM, a likelihood-ratio test comparing the likelihood of the LLTM to the likelihood of the Rasch model is the most often applied model test. The present simulation study evaluates the empirical Type I risk, test power, and approximation to the ...
Hohensinn, Christine +2 more
openaire +2 more sources
Recently the linear logistic test model (LLTM) by Fischer (1973) is increasingly used. In applications of LLTM, a likelihood-ratio test comparing the likelihood of the LLTM to the likelihood of the Rasch model is the most often applied model test. The present simulation study evaluates the empirical Type I risk, test power, and approximation to the ...
Hohensinn, Christine +2 more
openaire +2 more sources
2013
This report documents an investigation into using operational field test data as inputs into the Janus high resolution model using a process that is collectively known as Model Test Model (MTM). After a description of MTM, the report describes the Javelin Initial Operational Test and Evaluation (IOTE) which provided the field data.
openaire +1 more source
This report documents an investigation into using operational field test data as inputs into the Janus high resolution model using a process that is collectively known as Model Test Model (MTM). After a description of MTM, the report describes the Javelin Initial Operational Test and Evaluation (IOTE) which provided the field data.
openaire +1 more source
THE FORMULATION AND TESTING OF MODELS
Annals of the New York Academy of Sciences, 1963openaire +2 more sources
Simulation Model Predicts Cost Savings from Colorectal Cancer Screening
Ca-A Cancer Journal for Clinicians, 2010John Henry Dreyfuss
exaly
Gut Microbiota Regulate Motor Deficits and Neuroinflammation in a Model of Parkinson’s Disease
Cell, 2016Timothy R Sampson +2 more
exaly
Density functionals and model Hamiltonians: Pillars of many-particle physics
Physics Reports, 2013Klaus Capelle, V L Campo
exaly
A new look at the statistical model identification
IEEE Transactions on Automatic Control, 1974H Akaike
exaly

