Item parameter recovery via traditional 2PL, Testlet and Bi-factor models for Testlet-Based tests
The testlet comprises a set of items based on a common stimulus. When the testlet is used in the tests, there may violate the local independence assumption, and in this case, it would not be appropriate to use traditional item response theory models in ...
Esin Yılmaz Koğar, Sümeyra Soysal
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Analyzing Single- and Two-parameter Models for Describing Oil Recovery in Imbibition from Fractured Reservoirs [PDF]
The imbibition process is known as one of the main production mechanisms in fractured reservoirs where oil/gas-filled matrix blocks are surrounded by water-filled fractures.
Mojtaba Ghaedi, Sadegh Ahmadpour
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Item parameter estimations for multidimensional graded response model under complex structures
Item parameter recovery in the compensatory multidimensional graded response model (MGRM) under simple and complex structures with rating-scale item response data was examined.
Olasunkanmi James Kehinde +2 more
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Parameter Optimization for Low-Rank Matrix Recovery in Hyperspectral Imaging
An approach to parameter optimization for the low-rank matrix recovery method in hyperspectral imaging is discussed. We formulate an optimization problem with respect to the initial parameters of the low-rank matrix recovery method.
Monika Wolfmayr
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Comparing Eight Parameter Estimation Methods for the Ratcliff Diffusion Model Using Free Software
The Ratcliff Diffusion Model has become an important and widely used tool for the evaluation of psychological experiments. Concurrently, numerous programs and routines have appeared to estimate the model's parameters.
Rainer W. Alexandrowicz, Bartosz Gula
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Proposing a seven-parameter kinetics model for predicting cerussite flotation recovery [PDF]
Sulfide lead resources are being depleted and the exploitation of carbonate lead deposits is now the main focus of lead mining. Cerussite, PbCO3, is majorly discarded to tailing damps because it is difficult to be processed by flotation in lead ...
Mohammad Karamoozian +1 more
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ISAR Imaging Algorithm for Parameter Iterative Minimization Sparse Signal Recovery [PDF]
In order to obtain the robustness Inverse Synthetic Aperture Radar(ISAR) image,an iterative minimization Bayesian learning sparse signal recovery algorithm is proposed.Firstly,ISAR imaging is established,and the imaging problem is converted to sparse ...
FENG Junjie,ZHANG Gong
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OPTIMASI PARAMETER METODE PEMISAHAN RADIONUKLIDA 95Zr DALAM LARUTAN PELAT ELEMEN BAKAR U3Si2/Al TERIRADIASI. Radionuklida 95Zr adalah salah satu radionuklida hasil belah pemancar radiasi-γ dan berumur paruh pendek sehingga dapat digunakan sebagai ...
Yanlinastuti Yanlinastuti +7 more
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Recovery of compartment model parameters of dynamical systems for the epidemiological SIR model [PDF]
Background and Objectives: In problems where the model of dynamical system is known and the parameters need to be determined, researchers most often encounter the problem of ”getting stuck” in local minima of the cost function.
Korobko, Mikhail A. +1 more
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Inverse problems of parameter recovery in differential equations with multiple characteristics
The work is devoted to the study of the solvability in Sobolev spaces of nonlinear inverse coefficient problems for differential equations of the third order with multiple characteristics.In this paper, alongside with finding the solution of one or ...
A. I. Kozhanov +2 more
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