Effect of length of series upon generalization and central tendency in the discrimination of a series of stimuli.

1952 ◽  
Vol 6 (4) ◽  
pp. 173-178 ◽  
Author(s):  
B. R. Philip
Keyword(s):  
Central Tendency

The Central Tendency of Judgment.

1911 ◽  
Vol 8 (6) ◽  
pp. 220-220
Author(s):  
F. M. Urban
Keyword(s):  
Central Tendency

Agri-Business Curriculum: The Entrepreneurial Direction of Graduates

2019 ◽  
Vol 4 (1) ◽  
Author(s):  
Regie D. Patagoc
Keyword(s):  
Social Sciences ◽  
Significant Influence ◽  
Central Tendency ◽  
Personal Beliefs ◽  
Monthly Income ◽  
Private Company ◽  
Business Graduates ◽  
Administrative Procedures ◽  
Economic Profile ◽  
Self Administered Questionnaire

This study aimed to determine the entrepreneurial engagement of Agri-Business graduates from Southern Philippines Agri-Business and Marine and Aquatic School of Technology (SPAMAST), during the SY 2008-2013. The data was collected using a self-administered questionnaire, analyzed and subjected to the measures of central tendency (mean and percentage) and the Statistical Package for Social Sciences (SPSS 19.0).Results showed that graduates were within 26 to 30 years old age, female, single, most were regular workers in a private company with 1 - 3 years working experience and were practicing entrepreneurs earning a monthly income of 10,000. High rating was extended to the level of competence on attitudinal, behavioral and educational factors. It was found out that, the respondents either felt, thought and view entrepreneurship as a thing that they had dreamed to undertake after graduation because they believed that it is only doing entrepreneurial undertakings that they can fulfill the objectives of the course and their personal beliefs that success can be attained through it.Further, only few graduates had started their entrepreneurial engagement, while the majority, were still thinking about their entrepreneurial endeavor because of the difficulty in starting own business due to the complex administrative procedures involved. The demographic and socio-economic profile had no significant influence to the level of engagement while the level of competencies significantly influenced the level of entrepreneurial engagement.

scholarly journals A Multicriteria Goal Programming Model for Ranking Universities

Mathematics ◽  
2021 ◽  
Vol 9 (5) ◽  
pp. 459
Author(s):  
Fernando García ◽  
Francisco Guijarro ◽  
Javier Oliver
Keyword(s):  
Goal Programming ◽  
Programming Model ◽  
Decision Makers ◽  
University Rankings ◽  
Central Tendency ◽  
Performance Variables ◽  
World University Rankings ◽  
Goal Programming Model ◽  
Objective Quantification

This paper proposes the use of a goal programming model for the objective ranking of universities. This methodology has been successfully used in other areas to analyze the performance of firms by focusing on two opposite approaches: (a) one favouring those performance variables that are aligned with the central tendency of the majority of the variables used in the measurement of the performance, and (b) an alternative one that favours those different, singular, or independent performance variables. Our results are compared with the ranking proposed by two popular World University Rankings, and some insightful differences are outlined. We show how some top-performing universities occupy the best positions regardless of the approach followed by the goal programming model, hence confirming their leadership. In addition, our proposal allows for an objective quantification of the importance of each variable in the performance of universities, which could be of great interest to decision-makers.

Ensemble classification technique for heart disease prediction with meta-heuristic-enabled training system

2020 ◽  
Vol 0 (0) ◽  
Author(s):  
Parvathaneni Rajendra Kumar ◽  
Suban Ravichandran ◽  
Satyala Narayana
Keyword(s):  
Heart Disease ◽  
Dimensionality Reduction ◽  
Research Work ◽  
Feature Reduction ◽  
Ensemble Classification ◽  
Support Vector ◽  
Disease Prediction ◽  
Central Tendency ◽  
Sea Lion ◽  
Qualitative Variation

AbstractObjectivesThis research work exclusively aims to develop a novel heart disease prediction framework including three major phases, namely proposed feature extraction, dimensionality reduction, and proposed ensemble-based classification.MethodsAs the novelty, the training of NN is carried out by a new enhanced optimization algorithm referred to as Sea Lion with Canberra Distance (S-CDF) via tuning the optimal weights. The improved S-CDF algorithm is the extended version of the existing “Sea Lion Optimization (SLnO)”. Initially, the statistical and higher-order statistical features are extracted including central tendency, degree of dispersion, and qualitative variation, respectively. However, in this scenario, the “curse of dimensionality” seems to be the greatest issue, such that there is a necessity of dimensionality reduction in the extracted features. Hence, the principal component analysis (PCA)-based feature reduction approach is deployed here. Finally, the dimensional concentrated features are fed as the input to the proposed ensemble technique with “Support Vector Machine (SVM), Random Forest (RF), K-Nearest Neighbor (KNN)” with optimized Neural Network (NN) as the final classifier.ResultsAn elaborative analyses as well as discussion have been provided by concerning the parameters, like evaluation metrics, year of publication, accuracy, implementation tool, and utilized datasets obtained by various techniques.ConclusionsFrom the experiment outcomes, it is proved that the accuracy of the proposed work with the proposed feature set is 5, 42.85, and 10% superior to the performance with other feature sets like central tendency + dispersion feature, central tendency qualitative variation, and dispersion qualitative variation, respectively.ResultsFinally, the comparative evaluation shows that the presented work is appropriate for heart disease prediction as it has high accuracy than the traditional works.

Systematic study of end anchoring and central tendency of judgment.

1964 ◽  
Vol 67 (6) ◽  
pp. 501-506 ◽  
Author(s):  
Donald M. Johnson ◽  
Calvin R., Jr. King
Keyword(s):  
Systematic Study ◽  
Central Tendency

Abstract 212: Prophylactic Anti-inflammatory Treatment Attenuates The Neuroinflammatory And Behavioral Effects Of Silent Cerebral Infarction

2014 ◽  
Vol 115 (suppl_1) ◽  
Author(s):  
Christina L Nemeth ◽  
Gretchen N Neigh
Keyword(s):  
Gene Expression ◽  
Cardiac Surgery ◽  
Open Field ◽  
Treatment Strategies ◽  
Fold Change ◽  
Inflammatory Activity ◽  
Central Tendency ◽  
Negative Consequences ◽  
Anti Inflammatory

Silent brain infarction is a frequent complication of cardiac surgery and is associated with mood changes and cognitive disruption. Microsphere embolism (ME) rodent models recapitulate both the diffuse ischemic infarcts and the delayed subtle behavioral disturbances characteristic to silent infarction (SI). Previously, we have shown that ME leads to increased hippocampal inflammation, weakening of the blood brain barrier, and the infiltration of peripherally circulating inflammatory cells in rats. Given long-term increases in inflammatory activity following SI, the current study tests the efficacy of anti-inflammatory versus anti-depressant treatment strategies to reduce the inflammatory and behavioral sequelae of injury. Adult rats were administered either chronic meloxicam (preferential COX-2 inhibitor) or fluoxetine (SSRI) beginning five days prior to ME surgeries. After a two week recovery, animals were tested for anxiety-like behaviors in the open field paradigm and the hippocampus was examined for gene expression of inflammatory cytokines. Meloxicam treated animals showed a decrease in hippocampal gene expression of inflammatory markers (SPP1; p = 0.0272) and greater than a 3-fold change improvement in open field central tendency (p = 0.0003). No differences in inflammatory gene expression were observed in fluoxetine treated animals (SPP1; p = 0.3288); however, fluoxetine treatment resulted in a 2-fold change improvement in open field central tendency (p = 0.0138) suggesting that while both treatment strategies attenuate SI induced behavioral disruption, only meloxicam acts via inflammatory mechanisms. Given the long term negative consequences of increased central and peripheral inflammatory activity, the data suggest that anti-inflammatory therapeutic strategies may benefit patients at risk for SI as well as cardiac surgery candidates.

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