Results 21 to 30 of about 3,443,781 (274)
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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Graphical Log-linear Models: Fundamental Concepts and Applications [PDF]
, 2016 We present a comprehensive study of graphical log-linear models for contingency tables. High dimensional contingency tables arise in many areas such as computational biology, collection of survey and census data and others. Analysis of contingency tables
Gauraha, Niharika
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A Framework to Interpret Nonstandard Log-Linear Models
Austrian Journal of Statistics, 2016 The formulation of log-linear models within the framework of Generalized Linear Models offers new possibilities in modeling categorical data. The resulting models are not restricted to the analysis of contingency tables in terms of ordinary hierarchical ...
Patrick Mair
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On the Occurrence of Boundary Solutions in Two-Way Incomplete Tables
Revstat Statistical Journal, 2020 The analysis of incomplete contingency tables is an important problem, which is also of practical interest. In this paper, we consider boundary solutions under nonignorable nonresponse models in two-way incomplete tables with data on both variables ...
Sayan Ghosh , Palaniappan Vellaisamy
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E-Jurnal Matematika, 2012 The purpose of this study was to determine the effect of the factors age, sex, obesity, family history (heredity), and smoking habits on hypertension status. The research data is secondary data obtained from the medical records of disease in hospitals in
IMAMUDDIN KAMIL +2 more
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Second-order variational equations for spatial point processes with a view to pair correlation function estimation [PDF]
, 2019 Second-order variational type equations for spatial point processes are established. In case of log linear parametric models for pair correlation functions, it is demonstrated that the variational equations can be applied to construct estimating ...
Coeurjolly, Jean-François +2 more
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Ordinal Log-Linear Models for Contingency Tables
Folia Oeconomica Stetinensia, 2016 A log-linear analysis is a method providing a comprehensive scheme to describe the association for categorical variables in a contingency table. The log-linear model specifies how the expected counts depend on the levels of the categorical variables for ...
Brzezińska Justyna
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Jeffreys-prior penalty, finiteness and shrinkage in binomial-response generalized linear models [PDF]
, 2020 Penalization of the likelihood by Jeffreys' invariant prior, or by a positive power thereof, is shown to produce finite-valued maximum penalized likelihood estimates in a broad class of binomial generalized linear models.
Firth, David, Kosmidis, Ioannis
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When and why are log-linear models self-normalizing?
North American Chapter of the Association for Computational Linguistics, 2015 Several techniques have recently been proposed for training “self-normalized” discriminative models. These attempt to find parameter settings for which unnormalized model scores approximate the true label probability.
Jacob Andreas, D. Klein
semanticscholar +1 more source
The Global Baroclinic Instability in Accretion Disks. II: Local Linear Analysis [PDF]
, 2004 This paper contains a local linear stability analysis for accretion disks under the influence of a global radial entropy gradient beta = - d log T / d log r for constant surface density.
Goldreich P., Goldreich P., Hubert Klahr
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