Faculty Opinions recommendation of Forward selection of explanatory variables.

2008 ◽  
Author(s):  
Ary Hoffmann
Keyword(s):  
Forward Selection ◽  
Explanatory Variables ◽  
Selection Of

FORWARD SELECTION OF EXPLANATORY VARIABLES

Ecology ◽  
2008 ◽  
Vol 89 (9) ◽  
pp. 2623-2632 ◽  
Author(s):  
F. Guillaume Blanchet ◽  
Pierre Legendre ◽  
Daniel Borcard
Keyword(s):  
Forward Selection ◽  
Explanatory Variables ◽  
Selection Of

scholarly journals Path analysis for selection of feijoa with greater pulp weight

2017 ◽  
Vol 47 (6) ◽  
Author(s):  
Joel Donazzolo ◽  
Vanessa Padilha Salla ◽  
Simone Aparecida Zolet Sasso ◽  
Moeses Andrigo Danner ◽  
Idemir Citadin ◽  
...  
Keyword(s):  
Path Analysis ◽  
Indirect Selection ◽  
Total Weight ◽  
Direct And Indirect Effects ◽  
Rio Grande Do Sul ◽  
Basic Variable ◽  
Explanatory Variables ◽  
Acca Sellowiana ◽  
Number Of Seeds ◽  
Selection Of

ABSTRACT: The objective of this paper was to identify the direct and indirect effects of feijoa fruits (Acca sellowiana) traitson pulp weight, in order to use these traits in indirect genotypes selection. Fruits of five feijoa plants were collected in Rio Grande do Sul, in the years of 2009, 2010 and 2011. Six traits were evaluated: diameter, length, total weight, pulp weight, peel thickness and number of seeds per fruit. In the path analysis, with or without ridge regression, pulp weight was considered as the basic variable, and the other traits were considered as explanatory variables. Total weight and fruit diameter had high direct effect, and are the main traits associated with pulp weight. These traits may serve as criteria for indirect selection to increase feijoa pulp weight, since they are easy to be measured.

scholarly journals Comments on "Researcher bias: The use of machine learning in software defect prediction"

2015 ◽  
Author(s):  
Chakkrit Tantithamthavorn ◽  
Shane McIntosh ◽  
Ahmed E Hassan ◽  
Kenichi Matsumoto
Keyword(s):  
Prediction Model ◽  
Strong Association ◽  
Model Performance ◽  
Strong Relationship ◽  
Defect Prediction ◽  
Explanatory Variables ◽  
Software Defect ◽  
The Impact ◽  
The Relationship ◽  
Selection Of

Shepperd et al. (2014) find that the reported performance of a defect prediction model shares a strong relationship with the group of researchers who construct the models. In this paper, we perform an alternative investigation of Shepperd et al. (2014)’s data. We observe that (a) researcher group shares a strong association with the dataset and metric families that are used to build a model; (b) the strong association among the explanatory variables introduces a large amount of interference when interpreting the impact of the researcher group on model performance; and (c) after mitigating the interference, we find that the researcher group has a smaller impact than the metric family. These observations lead us to conclude that the relationship between the researcher group and the performance of a defect prediction model may have more to do with the tendency of researchers to reuse experimental components (e.g., datasets and metrics). We recommend that researchers experiment with a broader selection of datasets and metrics to combat potential bias in their results.

scholarly journals Social representations, human capital and knowledge production in the Covid-19 era

2021 ◽  
Vol 4 (2) ◽  
pp. 98
Author(s):  
Cruz García Lirios
Keyword(s):  
Old Age ◽  
Knowledge Production ◽  
Social Representations ◽  
Self Control ◽  
Systematic Observation ◽  
Theoretical Frameworks ◽  
Self Monitoring ◽  
Explanatory Variables ◽  
The Difference ◽  
Selection Of

Studies of propaganda, security, warn youth and old age; 1) the systematic dissemination of crimes Attributed to political corruption; 2) state advertising as legitimate security administrator His rectory; 3) the de-legitimation of Citizens to Consider them incapable of preventative crime Initiatives; 4) are excluded by the industries older Assuming That They are incapable of self-monitoring and self-care. Specify a model for studying the effects of advertising social security in the representations of aging, youth and old age. A non-experimental, retrospective and exploratory study with a nonrandom was Conducted selection of indexed sources the discretion of explanatory variables Between correlations paths... The model included three hypotheses to Explain the paths of correlations Between four and seven indicators constructs for each. The revised theoretical, conceptual and empirical frameworks warn the inclusion of other variables such as helplessness, self-control farsightedness, beliefs, attitudes and intentions That would complement the specified model. A comprehensive model would Explain the correlations paths from theoretical frameworks That Establish the Difference between crime prevention capabilities, systematic observation of corruption with emphasis on Impunity.

scholarly journals Machine learning and automatic selection of attributes for the identification of Chagas disease from clinical and sociodemographic data

2021 ◽  
Vol 10 (4) ◽  
pp. e19310413879
Author(s):  
Weber de Santana Teles ◽  
Aydano Pamponet Machado ◽  
Paulo Celso Curvelo Cantos Júnior ◽  
Cláudia Moura de Melo ◽  
Maria Hozana Santos Silva ◽  
...  
Keyword(s):  
Machine Learning ◽  
Genetic Algorithm ◽  
Chagas Disease ◽  
Disease Diagnosis ◽  
Forward Selection ◽  
Treatment And Prevention ◽  
Sociodemographic Data ◽  
Automatic Selection ◽  
Sensitivity Specificity ◽  
Selection Of

Objective: evaluate the potential use of machine learning and the automatic selection of attributes in discrimination of individuals with and without Chagas disease based on clinical and sociodemographic data. Method: After the evaluation of many learning algorithms, they have been chosen and the comparison between neural network Multilayer Perceptron (MLP) and the Linear Regression (LR) was done, seeking which one presents the best performance for prediction of the Chagas disease diagnosis, being used the criteria of sensitivity, specificity, accuracy and area under the ROC curve (AUC). Generated models were also compared, using the methods of automatic selection of attributes: Forward Selection, Backward Elimination and genetic algorithm. Results: The best results were achieved using the genetic algorithm and the MLP presented accuracy of 95.95%, 78.30% sensitivity, and specificity of 75.00% and AUC of 0.861. Conclusion: It was proved to be a very interesting performance, given the nature of the data used for sorting and use in public health, glimpsing its relevance in the medical field, enabling an approximation of prevalence that justifies the actions of active search of individuals Chagas disease patients for treatment and prevention.

On the determinants of the 2008 financial crisis: a Bayesian approach to the selection of groups and variables

2017 ◽  
Vol 21 (5) ◽  
Author(s):  
Ray-Bing Chen ◽  
Yi-Chi Chen ◽  
Chi-Hsiang Chu ◽  
Kuo-Jung Lee
Keyword(s):  
Variable Selection ◽  
Robustness Analysis ◽  
Prediction Performance ◽  
Financial Policies ◽  
Bayesian Hierarchical ◽  
Explanatory Variables ◽  
Alternative Measures ◽  
The 2008 Financial Crisis ◽  
Group Variable ◽  
Selection Of

AbstractWe consider the determinants of the 2008 crisis and address two main forms of model uncertainty: the uncertainty in selecting theoretical groups and the uncertainty in selecting explanatory variables. We introduce Bayesian hierarchical formulation that allows for the joint treatment of group and variable selection using the Group-wise Gibbs sampler. Our group variable selection shows that pre-crisis financial policies and trade linkages play a particularly important role in explaining the severity of the crisis, alongside institutions, and within the selected groups we identify a broader set of variables correlated with the crisis, which in turn leads to an improvement in prediction performance. In the robustness analysis we also find that our results are not qualitatively changed on alternative measures of crisis intensity, different groupings of variables, or prior assumptions. We further argue that the established results in the literature may well be attributed to different prior choices used in the analysis.

scholarly journals Coopetition Effect Determinants: Competitor’s Size, Geographical Scope, Market and Technological Positions

Organizacija ◽  
2015 ◽  
Vol 48 (4) ◽  
pp. 219-231 ◽  
Author(s):  
Joanna Cygler ◽  
Katarzyna Dębkowska
Keyword(s):  
Value Chain ◽  
Cost Reduction ◽  
High Tech ◽  
Qualitative Variable ◽  
Explanatory Variables ◽  
Top Executives ◽  
Data Space ◽  
The Cost ◽  
Geographical Scope ◽  
Selection Of

Abstract Background and Goal: The article is aimed at conducting an empirical analysis of the value and significance of coopetitors’ attributes thanks to which coopetition, which is a combination of cooperation and competition between competitors, generates a substantial corporate profit. Four major competitors’ attributes have been analysed: its size, geographical scope, market and technological position. The research also includes the Porter’s value chain. Design/ Methodology/Approach: The survey has been conducted on a sample of 235 high- tech companies operating in Poland and involved in coopetition. The sample is representative. The data have been collected at interviews with company top executives or owners. The research applies the method of classification trees, which, thanks to diagrams, sequentially divides the examined data space into classes (spaces) of similar properties. The assessment of the effect of coopetition, including its variants, made by the examined company served as a dependent qualitative variable. Four coopetitor’s attributes and their variants were assumed as explanatory variables (predictors) affecting the assessment of cooperation. Results: The results of research indicated the necessity for an accurate competitor’s profile selection. The significance of each of the four attributes may be different depending on the undertaken areas of cooperation with a competitor. The value of all the attributes of competitors is also diverse depending on the area of cooperation. A selected competitor’s profile with regard to the four analysed attributes may become a stimulant to generate benefits in one area, while in another area it may become an inhibitor. Conclusions: So far, the selection of a coopetition partner has been treated universally, without scrutinizing on some specific needs in relation to the area of cooperation. The selection of an appropriate coopetitor’s profile will allow for the cost reduction in search of appropriate candidates for cooperation and in relations management.

Continuous Ambulatory Peritoneal Dialysis: An Option in the Developing World?

1994 ◽  
Vol 14 (1) ◽  
pp. 48-51 ◽  
Author(s):  
Roy Lent ◽  
Jonathan E. Myers ◽  
Deidre Donald ◽  
Brian L. Rayner
Keyword(s):  
Peritoneal Dialysis ◽  
Continuous Ambulatory Peritoneal Dialysis ◽  
Tertiary Care ◽  
Therapeutic Success ◽  
Explanatory Variables ◽  
Large Tertiary Care ◽  
Selection For ◽  
The Relationship ◽  
Selection Of Patients ◽  
Selection Of

Objective To evaluate specified biomedical, socio-economic, and psychosocial criteria as predictors of therapeutic success to optimize patient selection for continuous ambulatory peritoneal dialysis (CAPD) in a developing country. Design A restrospective cohort study investigating the relationship between episodes of peritonitis and exitsite infection, and predetermined biomedical, socioeconomic, and psychosocial data. Setting A CAPD unit in a large tertiary care teaching hospital. Patients AI1132 patients entering the CAPD program between 1987 and 1991. Results Overall mean survival time on CAPD was 17.3 months. Peritonitis rates were high, especially among blacks. Multivariate analysis demonstrated that increased peritonitis rates were associated with age, black race, diabetes, and strongly so with several psychosocial factors. Because being black was strongly linked to poor socioeconomic conditions, repeat analysis excluding blacks showed the same associations with the above variables, but, additionally, several socioeconomic factors were associated with high peritonitis rates. No significant explanatory variables were shown for exit-site infections. Conclusions The association of biomedical, socio-economic, and psychosocial variables with high peritonitis rates has important implications for the selection of patients for CAPD in this setting.

scholarly journals Teaching Controversial Issues: The Attitudes of Student Primary Teachers

1998 ◽  
Vol 3 (1) ◽  
pp. 36-49 ◽  
Author(s):  
John Robertson
Keyword(s):  
Beginning Teachers ◽  
Student Teachers ◽  
Geographic Distance ◽  
Primary Teachers ◽  
Democratic Citizenship ◽  
Controversial Issues ◽  
Explanatory Variables ◽  
Face To Face ◽  
Age Range ◽  
Selection Of

Guidelines for Scottish schools have little to say on the value or otherwise of controversy as a criterion for the selection of topics for teaching. By contrast, the authors of the recently published advisory report on citizenship education for schools in England and Wales and many writers in academic and pedagogical journals are enthusiastic about the importance of such topics as a means to developing democratic citizenship. This study sought to establish the views of beginning teachers in South-west Scotland. Eighty-seven final-year student teachers for the 5–12 age range took part in the study over a period of two years. The data gathered reveal considerable variety in responses but a clear rejection of issues involving personal, face-to-face violence by contrast with zealous enthusiasm for teaching using issues of perhaps equally tragic consequences but of a more impersonal nature such as famine or pollution-associated disease. The potentially explanatory variables - chronological and spatial or geographic distance - were helpful in understanding some choices but the presence of other variables made interpretation extremely complex and uncertain.

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