Related papers: An adaptive sequential optimum design for model se…
This paper has been withdrawn by the corresponding author because the newest version is now published in Discrete Applied Mathematics.
We introduce an algorithm which, in the context of nonlinear regression on vector-valued explanatory variables, chooses those combinations of vector components that provide best prediction. The algorithm devotes particular attention to…
This paper has been withdrawn by the author.
This paper has been withdrawn.
This paper has been withdrawn by the author due to an error estimate in Lemma 3.1.
This paper is withdrawn.
We consider the joint problem of online experiment design and parameter estimation for identifying nonlinear system models, while adhering to system constraints. We utilize a receding horizon approach and propose a new adaptive input design…
Optimal designs minimize the number of experimental runs (samples) needed to accurately estimate model parameters, resulting in algorithms that, for instance, efficiently minimize parameter estimate variance. Governed by knowledge of past…
This paper has been withdrawn by the author due to a crucial error in the definition of homomorphism.
This paper has been withdrawn by the author due to similarity to Author's other paper
This paper suggests parametrically transformed nested error regression models (TNERM), which transform the data flexibly to follow the normal linear mixed regression. We provide a procedure for estimating consistently the parameters of the…
We develop adaptive discretization algorithms for locally optimal experimental design of nonlinear prediction models. With these algorithms, we refine and improve a pertinent state-of-the-art algorithm in various respects. We establish…
This paper has been withdrawn by the author.
This paper has been withdrawn by the author, due to errors in the figures.
Computerized adaptive testing is becoming increasingly popular due to advancement of modern computer technology. It differs from the conventional standardized testing in that the selection of test items is tailored to individual examinee's…
This paper has been withdrawn by the author, due to errors in the figures.
This paper has been withdrawn by the author due to a error in attachment of source file.
This paper has been withdrawn by the author.
Due to a computational mistake this paper has been withdrawn.
This paper has been withdrawn by the author due to similarity to the author's other paper