Results 51 to 60 of about 1,123 (168)
A Complete Characterization of the Linear, Log-Linear, and Semi-Log Incomplete Demand System Models
Journal 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
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Understanding the war in Ukraine: Comparing knowledge and bias in Russia and the U.S.
Political 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
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Modelling child anaemia and co-existing infections using log-linear models
Malaria JournalBackground 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
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A Loglinear Lagrangian Poisson Model [PDF]
ASTIN Bulletin, 1996 AbstractMaximum likelihood estimation is derived for the Lagrangian Poisson distribution for a simple and a loglinear model and illustrated with real data.
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Silva 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
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Revstat 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
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Loglinear Modelling with Latent Variables: the Case of Mobility Tables [PDF]
, 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.
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Regularized log-linear models for predicting underwater radiated noise spectra of small vessels
Frontiers in Marine ScienceUnderwater radiated noise (URN) from vessels is an anthropogenic stressor that negatively affects marine ecosystems. Accordingly, the ability to estimate URN levels is a critical component for environmental assessment.
Mark Shipton, Roee Diamant, Roee Diamant
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Journal of Causal InferenceTime-varying treatments can be confounded by time-varying prognostic factors influenced by earlier treatments. Structural nested mean models (SNMMs) adjust for time-varying confounders by parameterizing causal effects conditioned on variable history, and
Arai Koshiro +4 more
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Log-linear Models and Closed Form Estimates for Missing Values in Two Dimensional Contingency Tables
Cumhuriyet Science JournalThe problem of missing data is frequently encountered in scientific research due to various reasons such as nonresponse in surveys, data recording errors, data loss, or limitations inherent in the study design. Missing data mechanisms are classified into
Emine Öçal +1 more
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