Results 131 to 140 of about 768,731 (196)
Shadow fading prediction at 18 GHz through physics guided learning in vegetative corridors. [PDF]
Sci RepCelades-Martínez J +3 more
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Conditional Dependencies Between Response Time and Item Discrimination: An Item-Level Meta-Analysis. [PDF]
Educ Psychol MeasGilbert JB +4 more
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Technometrics, 1992
Throughout the last 15 or 20 years, social scientists have seen a substantial body of literature published in their journals on the subject of analyzing categorical or qualitative data. Many of these articles begin by bemoaning the fact that most of the multivariate statistical tools that social scientists have at their disposal, i.e., the tools that ...
Shiva S. Halli, K. Vaninadha Rao
+4 more sources
Throughout the last 15 or 20 years, social scientists have seen a substantial body of literature published in their journals on the subject of analyzing categorical or qualitative data. Many of these articles begin by bemoaning the fact that most of the multivariate statistical tools that social scientists have at their disposal, i.e., the tools that ...
Shiva S. Halli, K. Vaninadha Rao
+4 more sources
WIREs Computational Statistics, 2011
AbstractThis article describes log‐linear models as special cases of generalized linear models. Specifically, log‐linear models use a logarithmic link function. Log‐linear models are used to examine joint distributions of categorical variables, dependency relations, and association patterns.
Von Eye, Alexander +2 more
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AbstractThis article describes log‐linear models as special cases of generalized linear models. Specifically, log‐linear models use a logarithmic link function. Log‐linear models are used to examine joint distributions of categorical variables, dependency relations, and association patterns.
Von Eye, Alexander +2 more
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1981
The three preceding chapters have all used models in which the response variables were probabilities (Chapters 4 and 5) or a linear combination of probabilities (Chapter 6). In this chapter we consider a model in which the response function involves the natural logarithm of the response variable.
Ron N. Forthofer, Robert G. Lehnen
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The three preceding chapters have all used models in which the response variables were probabilities (Chapters 4 and 5) or a linear combination of probabilities (Chapter 6). In this chapter we consider a model in which the response function involves the natural logarithm of the response variable.
Ron N. Forthofer, Robert G. Lehnen
openaire +1 more source
2012
This chapter describes graphical models for multivariate discrete (categorical) data. It starts out by describing various different ways in which such data may be represented in R—for example, as contingency tables—and how to convert between these representations.
Søren Højsgaard +2 more
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This chapter describes graphical models for multivariate discrete (categorical) data. It starts out by describing various different ways in which such data may be represented in R—for example, as contingency tables—and how to convert between these representations.
Søren Højsgaard +2 more
openaire +1 more source
Log-linear modeling using conditional log-linear structures
Annals of the Institute of Statistical Mathematics, 2007zbMATH Open Web Interface contents unavailable due to conflicting licenses.
VELLAISAMY, P, VIJAY, V
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