Combining information in linear and log-linear analyses
نویسندگان
چکیده
منابع مشابه
on the effect of linear & non-linear texts on students comprehension and recalling
چکیده ندارد.
15 صفحه اولCombining information for prediction in linear regression
This article deals with the prediction problem in linear regression where the measurements are obtained using k di¤erent devices or collected from k di¤erent independent sources. For the case of k 1⁄4 2, a Graybill-Deal type combined estimtor for the regression parameters is shown to dominate the individual least squares estimators under the covariance criterion. Two predictors ŷc and ŷp are pr...
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Information extraction (IE) is a process of automatically providing a structured representation from an unstructured or semi-structured text. It is a long-standing challenge in natural language processing (NLP) which has been intensified by the increased volume of information and heterogeneity, and non-structured form of it. One of the core information extraction tasks is relation extraction wh...
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The present paper considers discrete probability models with exact computational properties. In relation to contingency tables this means closed form expressions of the maksimum likelihood estimate and its distribution. The model class includes what is known as decomposable graphical models, which can be characterized by a structured set of conditional independencies between some variables give...
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A log-linear modelling will take quite a long time if the data involves many variables and if we try to deal with all the variables at once. Fienberg and Kim (1999) investigated the relationship between log-linear model and its conditional, and we will show how this relationship is employed to make the log-linear modelling easier. The result of this article applies to all the hierarchical log-l...
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ژورنال
عنوان ژورنال: Bulletin of the Australian Mathematical Society
سال: 1983
ISSN: 0004-9727,1755-1633
DOI: 10.1017/s0004972700020967