FACTORS PREDICTING PUBLIC PERCEPTIONS ABOUT THE IMPACT OF COMMUNITY ENLARGEMENT IN SETTLEMENTS OF RA
Banber Erevani Hamalsarani. Sots'iologiaIn 2022, the elections of local self-government bodies in the Republic of Armenia ended the process of community enlargement, which was started in 2011.The community enlargement process deviated several times from the initial implementation methodology,
Vahan Yengidunyan
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Generating Factor Variables for Asymmetry, Non-independence and Skew-symmetry Models in Square Contingency Tables using SAS [PDF]
In this paper, a SAS program (macro) is written to generate factor and regression variables required for implementing asymmetry, non-independence, non-symmetry + independence models as well as skew-symmetry models in discussed in square a x a contingency
H. Bayo Lawal, Richard A. Sundheim
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Ordinal Regression Methods: Survey and Experimental Study
, 2015 Pedro Antonio Gutiérrez +4 more
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Ordinal Regression via Binary Preference vs Simple Regression: Statistical and Experimental Perspectives [PDF]
, 2022 Bin Su +3 more
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Fear of Failure as a Gendered Barrier to Building Sustainable Entrepreneurial Ecosystems
Business Strategy and the Environment, EarlyView.ABSTRACT Drawing on four well‐established theoretical perspectives, this paper proposes an intersectional, emotionally grounded framework for understanding how gender and age jointly shape entrepreneurial perceptions across psychological, social, and cultural domains.
Giusy Sica +3 more
wiley +1 more source
Assessing copula models for mixed continuous-ordinal variables
Dependence ModelingVine pair-copula constructions exist for a mix of continuous and ordinal variables. In some steps, this can involve estimating a bivariate copula for a pair of mixed continuous-ordinal variables.
Pan Shenyi, Joe Harry
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Tackling Ordinal Regression Problem for Heterogeneous Data: Sparse and Deep Multi-Task Learning Approaches. [PDF]
Data Min Knowl Discov, 2021 Wang L, Zhu D.
europepmc +1 more source
Bayesian Quantile Regression for Ordinal Models
Bayesian Analysis, 2016 The paper introduces a Bayesian estimation method for quantile regression in univariate ordinal models. Two algorithms are presented that utilize the latent variable inferential framework of Albert and Chib (1993) and the normal-exponential mixture representation of the asymmetric Laplace distribution.
openaire +4 more sources
Harnessing Generative AI for Sustainable Supply Chains: Lean, Circular and Green Perspectives
Business Strategy and the Environment, EarlyView.ABSTRACT Generative artificial intelligence is playing a significant role in the transformation of digital ecosystems by reinventing the processes of content generation, process automation, product innovation and customer experience. At the same time that these technologies are becoming more integrated into routine operations, the focus has shifted to ...
Ashutosh Singh +3 more
wiley +1 more source
Parameter Estimation of Geographically and Temporally Weighted Elastic Net Ordinal Logistic Regression [PDF]
Margaretha Ohyver +2 more
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