Results 1 to 10 of about 6,119,704 (249)
An Information Theoretical Method for Analyzing Unreplicated Designs with Binary Response
The analysis of unreplicated factorial designs constitutes a challenging but difficult issue since there are no degrees of freedom so as to estimate the error variance.
Krystallenia Drosou +1 more
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Objective The prediction of response to pharmacotherapy has not been sufficiently explored in children and adolescents with psychiatric disorders, which was addressed in this study.
Takashi Tsujii +5 more
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Continuous and binary sets of responses differ in the field
This paper conducts a pre-registered study aimed to compare binary and continuous set of responses in survey questionnaires. Binary responses consist of two possible opposing response options (Yes/No).
Noelia Rivera-Garrido +3 more
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Explore poverty with statistical modeling: The bivariate polynomial binary logit regression (BPBLR)
Logit regression (or logistic regression) is a statistical analysis of categorical data. The binary responses have two categories. We present the Bivariate Polynomial Binary Logit Regression (BPBLR), which extends logit regression by modeling two ...
Vita Ratnasari +3 more
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Demand Response Control of Beverage Production Plants With Binary Units
This paper explores two main optimal control strategies to utilize the production flexibility potentials of beverage production lines for ancillary service provision.
Behzad Heydaryan +2 more
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Mechanics of binary crushable granular assembly through discrete element method
The mechanical response of a granular system is not only influenced by the bulk material properties but also on various factors due to it’s discrete nature.
Raghuram Karthik Desu +3 more
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The IL-2/IL-2Ralpha (CD25) axis is of central importance for the interplay of effector and regulatory T cells. Nevertheless, the question how different antigen loads are translated into appropriate IL-2 production to ensure adequate responses against ...
Franziska Fuhrmann +9 more
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Binary logistic regression analysis
In statistics, binary logistic regression analysis is a regression model where the dependent variable is a dichotomous categorical variable. The binary logistic model is used to estimate the probability of a binary response based on one or more ...
Selim Kılıc
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Sentimentality in the Suburban Ensemble Dramedy: A Response to Berlant’s Optimism-Realism Binary
Lauren Berlant has famously problematised the sense of communal belonging wrought by sentimental humanism, yet in so doing has presumed a binary between optimism and realism, and tendered new strictures on acceptable affect.
Wyatt Moss-Wellington
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Precisiones en la teoría de los modelos logísticos
Se estudian los modelos logísticos, como una clase de modelos lineales generalizados (MLG). Se demuestra un teorema sobre la existencia y unicidad de las estimaciones de máxima verosimilitud (abreviadas por ML) de los parámetros logísticos y el método ...
HUMBERTO JESÚS LLINÁS
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