scholarly journals Sparse HJ Biplot: A New Methodology via Elastic Net

Mathematics ◽  
2021 ◽  
Vol 9 (11) ◽  
pp. 1298
Author(s):  
Mitzi Cubilla-Montilla ◽  
Ana Belén Nieto-Librero ◽  
M. Purificación Galindo-Villardón ◽  
Carlos A. Torres-Cubilla
Keyword(s):  
Multivariate Analysis ◽  
Elastic Net ◽  
Massive Datasets ◽  
New Techniques ◽  
Modern Approach ◽  
R Language ◽  
Reduced Dimensions ◽  
Analysis Technique ◽  
Practical Support ◽  
Novel Algorithm

The HJ biplot is a multivariate analysis technique that allows us to represent both individuals and variables in a space of reduced dimensions. To adapt this approach to massive datasets, it is necessary to implement new techniques that are capable of reducing the dimensionality of the data and improving interpretation. Because of this, we propose a modern approach to obtaining the HJ biplot called the elastic net HJ biplot, which applies the elastic net penalty to improve the interpretation of the results. It is a novel algorithm in the sense that it is the first attempt within the biplot family in which regularisation methods are used to obtain modified loadings to optimise the results. As a complement to the proposed method, and to give practical support to it, a package has been developed in the R language called SparseBiplots. This package fills a gap that exists in the context of the HJ biplot through penalized techniques since in addition to the elastic net, it also includes the ridge and lasso to obtain the HJ biplot. To complete the study, a practical comparison is made with the standard HJ biplot and the disjoint biplot, and some results common to these methods are analysed.

Mentoring. A Quality Assurance Tool for Dentists Part 5: The Roots of the Modern Approach to Mentoring and Coaching

2009 ◽  
Vol os16 (4) ◽  
pp. 157-163 ◽  
Author(s):  
Vernon P Holt ◽  
Russ Ladwa
Keyword(s):  
Social Intelligence ◽  
Business Environment ◽  
Current Approach ◽  
Martin Buber ◽  
New Techniques ◽  
Modern Approach ◽  
Carl Rogers ◽  
Authentic Happiness ◽  
Related Approach ◽  
The Brain

Mentoring and coaching, as they are currently practised, are relatively new techniques for working with people. The roots of the current approach can be traced back to the psychotherapist Carl Rogers, who developed a new ‘person-centred approach’ to counselling and quickly realised that this approach was also appropriate for many types of relationship, from education to family life. Rogers’ thinking was deeply influenced by dialogues with his friend, the existentialist philosopher Martin Buber. Developments in psychology building upon this new person-centred approach include transactional analysis (TA) and neurolingusitic programming (NLP). More recently, solutions-focused approaches have been used and a related approach to leadership in the business environment—strengths-based leadership—has been developed. In recent years, developments in neuroscience have greatly increased understanding not only of how the brain is ‘wired up’ but also of how it is specifically wired to function as a social organ. The increased understanding in these areas can be considered in the context of emotional and social intelligence. These concepts and knowledge have been drawn together into a more structured discipline with the development of the approach known as positive psychology, the focus of which is on the strengths and virtues that contribute to good performance and authentic happiness.

scholarly journals Wd*-test: Robust Distance-Based Multivariate Analysis of Variance

2018 ◽  
Author(s):  
Bashir Hamidi ◽  
Kristin Wallace ◽  
Chenthamarakshan Vasu ◽  
Alexander V. Alekseyenko
Keyword(s):  
Multivariate Analysis ◽  
Analysis Of Variance ◽  
Multivariate Analysis Of Variance ◽  
General Applicability ◽  
R Language ◽  
Design Variables ◽  
Multi Level ◽  
Post Hoc ◽  
Microbiome Data ◽  
Do So

AbstractBackgroundCommunity-wide analyses provide an essential means for evaluation of the effect of interventions or design variables on the composition of the microbiome. Applications of these analyses are omnipresent in microbiome literature, yet some of their statistical properties have not been tested for robustness towards common features of microbiome data. Recently, it has been reported that PERMANOVA can yield wrong results in the presence of heteroscedasticity and unbalanced sample sizes.FindingsWe develop a method for multivariate analysis of variance, , based on Welch MANOVA that is robust to heteroscedasticity in the data. We do so by extending a previously reported method that does the same for two-level independent factor variables. Our approach can accommodate multi-level factors, stratification, and multiple post hoc testing scenarios. An R language implementation of the method is available at https://github.com/alekseyenko/WdStar.ConclusionOur method resolves potential for confounding of location and dispersion effects in multivariate analyses by explicitly accounting for the differences in multivariate dispersion in the data tested. The methods based on have general applicability in microbiome and other ‘omics data analyses.

scholarly journals KARAKTERISASI AROMA DAN RASA BEBERAPA VARIETAS BERAS LOKAL MELALUI QUANTITATIVE DESCRIPTIVE ANALYSIS METHOD

2015 ◽  
Vol 22 (1) ◽  
pp. 37 ◽  
Author(s):  
Ami Teja Rakhmi
Keyword(s):  
Multivariate Analysis ◽  
Descriptive Analysis ◽  
Early Age ◽  
Analysis Method ◽  
Rice Varieties ◽  
Local Varieties ◽  
Quantitative Descriptive Analysis ◽  
High Productivity ◽  
Analysis Technique ◽  
Quantitative Descriptive

<div data-canvas-width="788.4949999999995">Improvement of the national rice production could be done by using superior variety (VUB), which has early age of</div><div data-canvas-width="802.7116666666665">maturity and high productivity. However, the farmers, until now, still fanatics to grow the local rice. The utilization of</div><div data-canvas-width="802.6783333333335">local varieties as genetic resources for producing new superior varieties is expected to be solution. The study used seven</div><div data-canvas-width="802.6816666666666">local rice varieties (Anak Daro, Si Buyung, Cicih Merah, Mentik Wangi, Bengawan Solo, Rojolele, and Mandoti), to test</div><div data-canvas-width="802.6816666666666">the aroma and taste. Quantitative Descriptive Analysis (QDA) using trained panelists was applied. Data obtained were</div><div data-canvas-width="802.6866666666664">analyzed by Multivariate Analysis of Principle Component Analysis technique. Results showed that Mandoti and Rojolele</div><div data-canvas-width="802.7249999999999">have similar aroma and characterized by pandan, cereals, buttery, and green aroma. Cicih Merah characterized by creamy</div><div data-canvas-width="802.6766666666666">and sweet aroma. Mentik Wangi, Bengawan solo, and Anak Daro have similar properties but are not characterized by a</div><div data-canvas-width="802.6850000000001">distinctive aroma. Flavors of Cicih Merah and Bengawan solo are in one group and characterized by a taste of sweet and</div><div data-canvas-width="802.6916666666665">umami. Mandoti are in different groups and characterized by a taste of salty and bitter. Mentik Wangi and Si Buyung,</div><div data-canvas-width="669.7833333333333">Anak Daro and Rojolele even be in one group but not characterized by a distinctive flavor attributes.</div>

scholarly journals Estadística multivariante para la caracterización sectorial según la infraestructura de las viviendas en San Carlos de Zulia

2021 ◽  
Vol 4 (2) ◽  
pp. 73
Author(s):  
Lelly María Useche Castro ◽  
Olga Lilian Mendoza Talledo ◽  
Rosalba Karen Bravo Saltos ◽  
Miguel Ángel Lapo Palacios
Keyword(s):  
Multivariate Analysis ◽  
Correspondence Analysis ◽  
Rural Population ◽  
Previous Investigation ◽  
Advantages And Disadvantages ◽  
Palabras Clave ◽  
Analysis Technique ◽  
Basic Services ◽  
San Carlos

Se determinó un perfil de la infraestructura de una población rural en Venezuela con respecto a la vivienda según el sector, realizando un análisis de correspondencias simple en donde se compararon las variables de infraestructura con respecto a la variable “sector”.  La base de datos se obtuvo de una investigación previa basada en un cuestionario del censo de población y vivienda del Instituto Nacional de Estadística (INE) de una muestra de 226 hogares. Los resultados obtenidos variaron según el tipo de infraestructura y servicios básicos del sector. La técnica de análisis de correspondencias simple mostró ventajas y desventajas como método para caracterizar poblaciones.   Palabras clave: Análisis de correspondencias simple, análisis multivariante, caracterización, infraestructura.   Abstract A profile of the infrastructure of a rural population in Venezuela was determined with respect to housing according to the sector, performing a simple correspondence analysis in which the infrastructure variables were compared with respect to the variable "sector". The database was obtained from a previous investigation based on a questionnaire of the population and housing census of the National Institute of Statistics (INE) of a sample of 226 households. The results obtained varied according to the type of infrastructure and basic services in the sector. The simple correspondence analysis technique showed advantages and disadvantages as a method to characterize populations.   Keywords: Simple Correspondence Analysis, Multivariate Analysis, Characterization, Infrastructure.

scholarly journals Principal Components & Classification Analysis – Tool for Festuca rupicola Biodynamic Estimation Depending on Grassland Fertilisation

2016 ◽  
Vol 73 (2) ◽  
pp. 224
Author(s):  
Monica Harmanescu ◽  
Veronica Sarateanu
Keyword(s):  
Multivariate Analysis ◽  
Principal Components ◽  
Analysis Tool ◽  
Grassland Ecosystem ◽  
Statistical Tool ◽  
Classification Analysis ◽  
Permanent Grassland ◽  
Analysis Technique ◽  
Sheep Manure ◽  
Festuca Rupicola

The grassland forage must be monitored related to the quantitative and qualitative parameters. Festuca rupicola is one of the grass desired in grassland forage. It is necessary to have accessible statistical tools to monitor the Festuca rupicola biodynamic. The objective of the present research was to study that multivariate analysis technique Principal Components & Classification Analysis (PC&CA) can be used as a statistical tool for the estimation of Festuca rupicola biodynamic dependent of the fertilisation. The experimental results for Festuca rupicola cutting were collected in June and August 2009 from a hill permanent grassland ecosystem, with a substances flow anthropic influenced by the application of mineral and organic (sheep manure) fertilisers. The hill permanent grassland was situated in Banat, Romania, on a Calcic Luvisol. It was selected eight trials as PC&CA cases, the Festuca rupicola biodynamic data as supplementary variables, and as active variables the fertilisation data and ecological soil parameters. The correlation coefficients of Festuca rupicola biodynamic parameters (Fr1 and Fr2) were positively in mineral fertilisation case and negatively for sheep manure application. The Festuca rupicola biodynamic in June 2009 was high positive correlated with the Festuca rupicola biodynamic in August 2009 (0.835). The statistical data performed in the present study have shown that the multivariate analysis technique PC&CA can be used as a statistical tool for the estimation of Festuca rupicola biodymamic dependent of the mineral and/or organic fertilisation of hill grassland ecosystem.

scholarly journals A Study on the Regionalization of Point Rainfall by Multivariate Analysis Technique

2003 ◽  
Vol 36 (5) ◽  
pp. 879-892
Author(s):  
Jang Park ◽  
Byong-Ho Jun ◽  
Suk-Hwan Jang
Keyword(s):  
Multivariate Analysis ◽  
Analysis Technique

Specification and Performance Characteristics of Scientific Grid Workflows

2012 ◽  
pp. 212-238
Author(s):  
Radu Prodan
Keyword(s):  
Grid Computing ◽  
Real World ◽  
Scientific Workflows ◽  
Performance Characteristics ◽  
New Techniques ◽  
Analysis Technique ◽  
Grid Environments ◽  
Analysis Of Results ◽  
Execution Cycle ◽  
And Performance

Grid computing promises to enable a scalable, reliable, and easy-to-use computational infrastructure for e-Science. To materialize this promise, Grids need to provide full automation of the entire development and execution cycle starting with application modeling and specification, continuing with experiment design and management, and ending with the collection and analysis of results. Often, this automation relies on the execution of workflow processes. Not much is known much about Grid workflow characteristics, scalability, and workload, which hampers the development of new techniques and algorithms, and slows the tuning of existing ones. This chapter describes techniques developed in the ASKALON project for modeling and analyzing the executions of scientific workflows in Grid environments. The authors first outline the architecture, services, and tools developed by ASKALON and then introduce a new systematic scalability analysis technique to help scientists understand the most severe sources of performance losses that occur when executing scientific workflows in heterogeneous Grid environments. A method for analyzing workload traces is presented, focusing on the intrinsic and environment-related characteristics of scientific workflows. The authors illustrate concrete results that validate the methods for a variety of real-world applications modeled as scientific workflows and executed in the Austrian Grid environment.

scholarly journals Determination and evaluation of the mineral composition of breadfruit (Artocarpus altilis) using multivariate analysis technique

2016 ◽  
Vol 128 ◽  
pp. 84-88 ◽  
Author(s):  
Cheilane T. de Souza ◽  
Sarah A.R. Soares ◽  
Antonio F.S. Queiroz ◽  
Ana M.P. dos Santos ◽  
Sergio L.C. Ferreira
Keyword(s):  
Multivariate Analysis ◽  
Mineral Composition ◽  
Artocarpus Altilis ◽  
Analysis Technique
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