Results 151 to 160 of about 114,095,801 (232)

An extension of the basic local independence model to multiple observed classifications

open access: yesBritish Journal of Mathematical and Statistical Psychology, EarlyView.
Abstract The basic local independence model (BLIM) is appropriate in situations where populations do not differ in the probabilities of the knowledge states and the probabilities of careless errors and lucky guesses of the items. In some situations, this is not the case. This work introduces the multiple observed classification local independence model
Pasquale Anselmi   +8 more
wiley   +1 more source

Bayesian inference for dynamic Q matrices and attribute trajectories in hidden Markov diagnostic classification models

open access: yesBritish Journal of Mathematical and Statistical Psychology, EarlyView.
Abstract Hidden Markov diagnostic classification models capture how students' cognitive attributes evolve over time. This paper introduces a Bayesian Markov chain Monte Carlo algorithm for diagnostic classification models that jointly estimates time‐varying Q matrices, latent attributes, item parameters, attribute class proportions and transition ...
Chen‐Wei Liu
wiley   +1 more source

On generalized standard algebras. [PDF]

open access: yesProc Natl Acad Sci U S A, 1968
Schafer RD.
europepmc   +1 more source

Bias and precision in true‐score estimation

open access: yesBritish Journal of Mathematical and Statistical Psychology, EarlyView.
Abstract We discuss two approaches to estimating the true score from classical test theory, each with a corresponding measure of uncertainty due to measurement error: the classical method with the standard error of measurement (SEM) and Kelley's method with the standard error of estimation (SEE).
L. Andries van der Ark   +3 more
wiley   +1 more source

New estimation methods for diagnostic classification models

open access: yesBritish Journal of Mathematical and Statistical Psychology, EarlyView.
Abstract This paper introduces a new class of estimators for cognitive diagnosis models (CDMs) based on the Cressie–Read family of ϕ$$ \phi $$‐divergences. Focusing on the loglinear CDM (LCDM), for which joint maximum likelihood estimation (JMLE) has been shown to be consistent, we propose a joint minimum divergence estimation (JMDE) framework.
Elena Castilla
wiley   +1 more source

A general theory of jordan rings. [PDF]

open access: yesProc Natl Acad Sci U S A, 1966
McCrimmon K.
europepmc   +1 more source

Receptor kinetics: Binding flux‐based approaches offer complementary insight into how ligand binding evolves with time

open access: yesBritish Journal of Pharmacology, EarlyView.
Background and Purpose Binding kinetics are essentially based on rate constants. Yet, this view has been challenged by the idea that ‘binding fluxes’ are dynamic and therefore more relevant. Those fluxes refer to the rate at which a target/receptor changes from one state into another through ligand/drug binding or a conformational change.
Georges Vauquelin   +2 more
wiley   +1 more source

Progressively Projected Newton's Method

open access: yesComputer Graphics Forum, EarlyView.
Abstract Newton's Method is widely used to find the solution of complex non‐linear simulation problems. To guarantee a descent direction, it is common practice to clamp the negative eigenvalues of each element Hessian prior to assembly—a strategy known as Projected Newton (PN)—but this perturbation often hinders convergence.
J. A. Fernández‐Fernández   +2 more
wiley   +1 more source

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