Results 51 to 60 of about 1,086 (165)

Parametric Bootstrap Mantel‐Haenszel Statistic for Aggregated Testlet Effects

open access: yesJournal of Educational Measurement, Volume 62, Issue 4, Page 503-530, Winter 2025.
Abstract While testlets have proven useful for assessing complex skills, the stem shared by multiple items often induces correlations between responses, leading to violations of local independence (LI), which can result in biased parameter and ability estimates.
Youn Seon Lim
wiley   +1 more source

A Complete Characterization of the Linear, Log-Linear, and Semi-Log Incomplete Demand System Models

open access: yesJournal of Agricultural and Resource Economics, 2002
This study extends LaFrance's (1985, 1986, 1990) previous research by deriving the necessary parameter restrictions for two additional classes of incomplete demand system models to be integrable.
Roger H. von Haefen
doaj   +1 more source

Bending performance changes during prolonged canine eruption in saber‐toothed carnivores: A case study of Smilodon fatalis

open access: yesThe Anatomical Record, Volume 308, Issue 11, Page 2994-3006, November 2025.
Abstract The canine of saber‐toothed predators represents one of the most specialized dental structures known. Hypotheses about the function of hypertrophied canines range from display and conspecific interaction, soft food processing, to active prey acquisition.
Z. Jack Tseng
wiley   +1 more source

Understanding the war in Ukraine: Comparing knowledge and bias in Russia and the U.S.

open access: yesPolitical Psychology, Volume 46, Issue 5, Page 1168-1185, October 2025.
Abstract What mass publics know about foreign affairs is of great importance in international politics. Knowledge and ignorance probabilistically delimit the range of opinions likely to form on foreign affairs issues. Military strategists understand the importance of “information warfare,” since publics apply foreign affairs knowledge to form opinions ...
Peter Beattie, Elena Sherstoboeva
wiley   +1 more source

On the Loglinear Poisson and Gamma Model [PDF]

open access: yesASTIN Bulletin, 1980
Maximum likelihood estimation in case of a Poisson or Gamma distribution with loglinear parametrization for the mean is quite akin. The asymptotic variance-covariance matrix for the maximum likelihood estimator is derived as well as a linear estimator, which can serve as a starting value for the nonlinear search procedure.
openaire   +1 more source

Use of log-linear models in forecasting structural changes in Finnish non-industrial private forest ownership

open access: yesSilva Fennica, 2000
This paper presents how log-linear models can be used for modelling and forecasting structural changes of Finnish non-industrial private forest ownership.
Ripatti, Pekka
doaj   +1 more source

Modelling child anaemia and co-existing infections using log-linear models

open access: yesMalaria Journal
Background Uganda grapples with a considerable anaemia-malaria-fever burden, reporting approximate prevalence rates as high as 33%, 34%, and 37% in specific regions.
Grace Kakaire   +3 more
doaj   +1 more source

On the Connection Between the Distribution of Eigenvalues in Multiple Correspondence Analysis and Log-Linear Models

open access: yesRevstat Statistical Journal, 2003
Multiple Correspondence Analysis (MCA) and log-linear modeling are two techniques for multi-way contingency table analysis having different approaches and fields of applications.
S. Ben Ammou , G. Saporta
doaj   +1 more source

A Loglinear Lagrangian Poisson Model [PDF]

open access: yesASTIN Bulletin, 1996
AbstractMaximum likelihood estimation is derived for the Lagrangian Poisson distribution for a simple and a loglinear model and illustrated with real data.
openaire   +1 more source

Loglinear Modelling with Latent Variables: the Case of Mobility Tables [PDF]

open access: yes, 1988
In this chapter mobility tables of Denmark and Britain will be reanalysed. Following Clogg’s earlier work (Clogg, 1981a, 1981b), a loglinear analysis with latent variables will be presented. The methodology is embedded in the latent structure analysis, developed by Paul F.
openaire   +2 more sources

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