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 Floristic Diversity and Pastoral Value of Permanent Grassland Fertilized in Conventional and Organic System

2020 ◽  
Vol 77 (1) ◽  
pp. 13
Author(s):  
Neculai DRAGOMIR ◽  
Maria SAUER ◽  
Ioan SAUER ◽  
Marcela DRAGOȘ ◽  
Dorin RECHIȚEAN
Keyword(s):  
Point Of View ◽  
Organic Fertilizers ◽  
Natural Ecosystem ◽  
Floristic Diversity ◽  
Organic System ◽  
Permanent Grassland ◽  
Sheep Manure ◽  
Festuca Valesiaca ◽  
Pastoral Value ◽  
Festuca Rupicola

Permanent grassland is the most complex natural ecosystem due to the biodiversity of the structural and functional elements that characterize the space and time unit of this ecosystem. From this point of view, in the case of this ecosystem, biodiversity is manifested by the richness of species as a result of the interactions between species and the biotope, the interspecific relations and the effects of the technology and usage applied to the improvement of these surfaces. The paper presents the results obtained in an experimental device placed on a permanent grassland of Festuca valesiaca + Festuca rupicola, from Caraş-Severin County, under conditions of mineral and organic fertilizers application (sheep manure and direct fertilization by sheep folding).

scholarly journals Dynamic of Hill Grassland Floristic Composition in Spring on the Effects of Fertilizers

2011 ◽  
Vol 68 (1) ◽  
Author(s):  
Monica HARMANESCU ◽  
Alexandru MOISUC ◽  
Veronica SĂRĂTEANU ◽  
Marinel HORABLAGA ◽  
Aurica BOROZAN ◽  
...  
Keyword(s):  
Soil Nutrients ◽  
Principal Components ◽  
Floristic Composition ◽  
Climatic Conditions ◽  
Statistical Interpretation ◽  
Classification Analysis ◽  
Permanent Grassland ◽  
Nutrients Availability

In a permanent grassland agro-ecosystem the floristic composition varied depending on substances flow, soil nutrients availability and climatic conditions (Rotar, 1997; Moisuc et al., 2001). On the floristic composition of forages will depended its quality and the satisfaction of nutritive necessities of animal’s, in relationship with the final quality of row matter (Ammerman et al., 1995; Church&Pond, 1988). The aim of this study was to discuss how the fertilisation influences the floristic composition of hill permanent grassland in spring. Principal Components and Classification Analysis (PC&CA) technique implemented in Statistica 6 software was used to perform the statistical interpretation.

FAKTOR-FAKTOR YANG MEMPENGARUHI KUALITAS AUDIT

2019 ◽  
Vol 5 (1) ◽  
pp. 50-63
Author(s):  
Heru Heryanto ◽  
Nur Laela ◽  
Riana R Dewi
Keyword(s):  
Linear Regression ◽  
Multiple Linear Regression ◽  
Audit Quality ◽  
Positive Influence ◽  
T Test ◽  
Coefficient Of Determination ◽  
Analysis Tool ◽  
Validity And Reliability ◽  
Test Analysis ◽  
Analysis Technique

This study aims to determine the significance of the influence of competence, independence, professionalism, auditor experience, accountability, and auditor's knowledge of audit quality. This study uses a questionnaire with a population and sample, namely all auditors who work at the Public Accounting Office (KAP) in the Special Region of Yogyakarta and Surakarta. Sampling techniques using Convenience Sampling with a sample of 61 respondents. The data used in this study is a questionnaire using a Likert scale 1 to 5. The data analysis technique used in this study is multiple linear regression using the SPSSprogram for Windows. The analysis tool in this study using validity and reliability, the classical assumption (normality test, multicollinearity, heteroscedasticity test and autocorrelation test) while the data were analyzed using multiple linear regression test, t test, F test and the coefficient of determination (R2).Based on the results of the t-test analysis performed, it shows that there is a positive influence of competence, independence, professionalism, auditor experience, accountability, and auditor's knowledge of audit quality and simultaneously competency, independence, professionalism, auditor experience, accountability, and auditor knowledge variables affect quality audit

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.

scholarly journals A multivariate analysis of subline divergence in the shape of the mandible in C57BL/Gr mice

1973 ◽  
Vol 21 (2) ◽  
pp. 121-132 ◽  
Author(s):  
Michael Festing
Keyword(s):  
Multivariate Analysis ◽  
Distance Function ◽  
Canonical Variate ◽  
Multivariate Techniques ◽  
Graphical Display ◽  
Classification Analysis ◽  
Variate Analysis ◽  
Pedigree Relationship ◽  
Highly Correlated ◽  
Generalized Distance

SUMMARYThe shape of the mandible in. nine sublines of C57BL/Gr, seven other strains of ‘C57 ancestry’ and four unrelated strains was studied by multivariate techniques. The generalized distance function was used to classify individuals in the groups which they most closely resembled. The degree of misclassification depended on the pedigree relationship between strains and sublines. The generalized distance between pairs of subline centeroids was also highly correlated (r = 0·60) with the number of generations between them. A canonical variate analysis was used to reduce the dimensionality so that a graphical display of the relationships between strains and sublines could be made. The results agreed closely with the classification analysis. It was concluded that the shape of the mandible could be used for subline identification though the accuracy of this technique depends on how closely the sublines are related.

scholarly journals Phenotypic diversity of horse breeds used in sports activities, employing multivariate analysis

2021 ◽  
Vol 19 (1) ◽  
pp. e0401
Author(s):  
Marcos P. G. Rezende ◽  
Julio C. Souza ◽  
Carlos H. M. Malhado ◽  
Paulo L. S. Carneiro ◽  
Johnny I. M. Araujo ◽  
...  
Keyword(s):  
Multivariate Analysis ◽  
Principal Components ◽  
Phenotypic Diversity ◽  
The Body ◽  
Breeding Programs ◽  
Mato Grosso ◽  
Canonical Variables ◽  
Horse Breeding ◽  
Quarter Horse ◽  
Euclidean Distances

Aim of study: Sports involving horses have notable financial importance. Breeds are evaluated to find the best-suited ones for a specific sport category. Phenotypic diversity using biometric markers was evaluated for Quarter Horse (QH), Arabic (AR), English Thoroughbred (ET), and Brazilian Equestrian (BE) horse breeds.Area of study: Mato Grosso do Sul-Brazil.Material and methods: Lengths, widths, and circumference measures of 268 horses were collected. These measures were used to estimate conformation indexes. The size-free canonical discriminant analysis was used to remove the size effect on the animal's shape. The similarity among breeds (by sex) was evaluated employing multivariate analysis (canonical analysis, MANOVA, principal components, Euclidean distances, and grouping through complete linkage), considering all linear measures and conformation indexes (included in the analysis of principal components).Main results: Four canonical variables (CANs), each one representing an equation to interpret the morpho-functionality of breeds “sustentation”, “structure”, “frame”, and “equilibrium”, were retained. The breeds presented differences when the CANs were simultaneously considered. Differences mainly were the size and the thickness of the body as well as the ability of the animal to move. ET, QH, and BE demonstrate a well-defined biometric profile. These three breeds clustered separately from AR breed.Research highlights: Canonical variables allow to verify the functional aptitudes since the responses were close to conformation indices commonly used as horse skill estimators. The implementation of these variables as selection criteria in horse breeding programs require further studies in larger populations of horses for a confirmation of the present results.

scholarly journals ANALISIS PERGERAKAN SAHAM PERUSAHAAN SUB SEKTOR FARMASI MENGGUNAKAN INDIKATOR BOLLINGER BAND DI TENGAH PANDEMI COVID-19

2020 ◽  
Vol 3 (2) ◽  
pp. 77-88
Author(s):  
Intan Elita ◽  
K. Bagus Wardianto ◽  
M. Iqbal Harori
Keyword(s):  
Stock Prices ◽  
Stock Price ◽  
Sampling Method ◽  
Sample Selection ◽  
T Test ◽  
Analysis Tool ◽  
Selection Technique ◽  
Purposive Sampling ◽  
Analysis Technique ◽  
Significant Difference

This study aims to measure the accuracy of technical analysis using the Bollinger Band indicator in predicting stock prices in the middle of pandemic covid-19. The concept in this study is to compare daily stock price predictions according to technical indicators with the closing prices that occured on that day. Sample selection technique used in this research used a purposive sampling method and obtained 9 pharmaceutical sub-sector companies listed on the IDX from February to April 2020. The type of data used is a chart of the company's daily stock price movements obtained from finance.yahoo.com. The data analysis technique used was the paired sample t-test and used the SPSS 26 analysis tool. The results of this study indicate that the Bollinger indicator does not have a significant difference. ABSTRAK Penelitian ini bertujuan untuk mengukur keakuratan analisis teknikal dengan indikator Bollinger Band dalam memprediksi harga saham pada masa pandemi Covid-19. Konsep pada penelitian ini adalah membandingkan prediksi harga saham harian menurut indikator teknikal dengan harga penutupan yang terjadi pada hari tersebut. Teknik pengambilan sampel dalam penelitian ini menggunakan metode purposive sampling dan diperoleh sebanyak 9 perusahaan sub sektor farmasi yang terdaftar di BEI selama Februari hingga April 2020. Jenis data yang digunakan yaitu berupa grafik pergerakan harga saham harian perusahaan yang diperoleh dari finance.yahoo.com. Teknik analisis data yang digunakan adalah uji independent sample t-test dan menggunakan alat analisis program SPSS 26. Hasil penelitian ini menunjukkan bahwa indikator Bollinger tidak memiliki perbedaan yang signifikan.

scholarly journals Explore the Effects of Fertilization on Polyphenols Content in Autumn of Forages from Hill Permanent Grassland by Principal Component & Classifications Analysis

2011 ◽  
Vol 68 (1) ◽  
Author(s):  
Monica HARMANESCU
Keyword(s):  
Colorimetric Method ◽  
Principal Component ◽  
Floristic Composition ◽  
Classification Analysis ◽  
Permanent Grassland ◽  
Different Types ◽  
The Matrix ◽  
Chemometric Techniques ◽  
First Time

Principal Components and Classification Analysis (PC&CA) represents one of the most utilised multivariate chemometric techniques, having the advantage to use many measurements for a single sample in the same time, being recommended for understanding better the complexity of one phenomenon. The aim of this paper was to use PC&CA to study the effects of different types of fertilizers on polyphenols content of forages harvested in autumn from permanent grassland. Gravimetrically was established the matrix of floristic composition. The experimental field was fertilized first time in 2003, organic and/or NPK mineral. The determination of polyphenols contents was made using UV-VIS SPECORD 205 spectrophotometer, in conformity to chemical Folin and Ciocalteu colorimetric method. The highest polyphenols content was identified in forages from unfertilized variant (108 µM gallic acid/g). PC&CA can be a useful tool in describing the modification of polyphenols contents of forages under the effects of organic and/or mineral fertilisation of permanent grassland.

scholarly journals Egg production evaluation of laying hens by multivariate analysis

2017 ◽  
Vol 69 (3) ◽  
pp. 676-682
Author(s):  
P.B. Ferreira ◽  
P.R.N. Rorato ◽  
F.C.B. Mello ◽  
B. Bevilaqua ◽  
A. Macedo ◽  
...  
Keyword(s):  
Multivariate Analysis ◽  
Principal Components ◽  
Egg Production ◽  
Euclidean Distance ◽  
Nearest Neighbors ◽  
Single Linkage ◽  
Linkage Method ◽  
Single Linkage Method ◽  
Highly Correlated ◽  
Santa Maria

ABSTRACT This study aimed to verify the existence of differences between hens from the Barred Plymouth Rock (PRB) breed and White Plymouth Rock (PRW) breed by multivariate analysis of weekly egg production and cumulative during the years of 1998 and 2010, from the Laboratório de Avicultura (LAVIC) of the Departamento de Zootecnia at the Universidade Federal de Santa Maria (UFSM). For the analysis of the univariate and multivariate variance, the experimental design was completely randomized with two treatments (breed) and 299 repetitions of the PRW breed and 350 of the PRB breed. The parameters analyzed were the weekly productions of eggs per bird from the 21st to the 50th week of age (P21, P22, ..., P50) and production of eggs accumulated being from the 21st to the 25th (PA1), 21st to the 30th (PA2), 21st to the 35th (PA3), 21st to the 40th (PA4), 21st to the 45th (PA5) and 21st to 50th (PA6). Analyzes of univariate and multivariate variance were conducted and the comparison of means were made by "T" Student and Wilks respectively (P < 0, 05). Based on the results, an analysis of the principal components was performed with parameters PA1, PA2, PA4, PA5 and PA6. With the average egg production per family accumulated, a cluster analysis using Euclidean distance and single linkage method (nearest neighbors) was performed. The first two principal components meet the total variation in egg production accumulated from the 21st to 25th, 21st to 30th, 21st to 40th, 21st to 45th and 21st to 50th weeks of age. Most of the phenotypic variation of the layers can be explained by the production of eggs accumulated from the 21st until the 40th week of age, and this variable is highly correlated with total egg production. Families from the PRW and PRB breed form seven distinct groups, but homogeneous by the similarity between them. This allows direct crossings between different groups, in the pursuit for heterosis.

scholarly journals Genotype Environment Interaction in Grass Pea (Lathyrus sativusL.) Lines

2009 ◽  
Vol 2009 ◽  
pp. 1-7 ◽  
Author(s):  
G. B. Polignano ◽  
V. Bisignano ◽  
V. Tomaselli ◽  
P. Uggenti ◽  
V. Alba ◽  
...  
Keyword(s):  
Multivariate Analysis ◽  
Plant Height ◽  
Seed Yield ◽  
Principal Components ◽  
Environment Interaction ◽  
Grass Pea ◽  
Genotype Environment Interaction ◽  
Marginal Areas ◽  
Different Seasons ◽  
The Stability

Eight grass pea lines grown in three different seasons were evaluated for the stability of seed yield, 100 seeds weight, flowering time, plant height, and biomass. Significant differences existed among years, lines, and lines years interaction for all traits except for 100 seeds weight. Two methods of multivariate analysis cluster and principal components were utilized to determine: firstly, whether a pattern existed among lines in their response across years and secondly to examine the relationships among them. In both analyses, each line was presented as a vector whose elements were given by the performance of lines in each year. The analyses used arranged the lines into groups that were differentiable in terms of performances and stability. Our results provide useful information to aid the choice of grass pea lines in the Mediterranean marginal areas.

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