Capital Structure and Performance of Quoted Firms in Nigeria: A Principal Component Analysis.

2015 ◽  
Author(s):  
Samson Olajide Olaniyan ◽  
Rosemary O. Soetan
Keyword(s):  
Principal Component Analysis ◽  
Capital Structure ◽  
Principal Component ◽  
Component Analysis ◽  
And Performance

Shape of Western Australian dragon lizards (Agamidae)

2005 ◽  
Vol 26 (1) ◽  
pp. 73-85 ◽  
Author(s):  
Philip Withers ◽  
Graham Thompson
Keyword(s):  
Principal Component Analysis ◽  
Body Length ◽  
Size Effects ◽  
Principal Component ◽  
Component Analysis ◽  
Regression Residuals ◽  
Performance Traits ◽  
And Performance ◽  
Western Australian

AbstractFor 41 species of Western Australian agamid lizards, we found that most appendage lengths vary isometrically, so shape is largely independent of size. Of the three methods we used to quantitatively remove the effects of size on shape, the two that use principal component analysis (PCA; Jolicoeur, 1963; Somers, 1986; 1989) provided similar results, whereas regression residuals (against body length) provided a different interpretation. Somers' size-free PCA approach to remove the size-effects was the most useful because it provided 'size-free' scores for each species that were further analysed using other techniques, and its results seemed more biologically meaningful. Some, but not all, of the variation in size-free shape for these lizards could be related to phylogeny, retreat choice and performance traits.

scholarly journals Improved Approach for Identification of Real and Fake Smile using Chaos Theory and Principal Component Analysis

2019 ◽  
Vol 54 (5) ◽  
Author(s):  
Hayder Ansaf ◽  
Hayder Najm ◽  
Jasim Mohammed Atiyah ◽  
Oday A. Hassen
Keyword(s):  
Principal Component Analysis ◽  
Chaos Theory ◽  
Principal Component ◽  
Component Analysis ◽  
Human Beings ◽  
Multiple Parameters ◽  
Detection Approach ◽  
The Face ◽  
And Performance ◽  
Smile Detection

The smile detection approach is quite prominent with the face detection and thereby the enormous implementations are prevalent so that the higher degree of accuracy can be achieved. The face smile detection is widely associated to have the forensic of faces of human beings so that the future predictions can be done. In chaos theory, the main strategy is to have the cavernous analytics on the single change and then to predict the actual faces in the analysis. In addition, the integration of Principal Component Analysis (PCA) is integrated to have the predictions with more accuracy. This work proposes to use the analytics on the parallel integration of PCA and chaos theory to enable the face smile and fake identifications to be made possible. The projected work is analyzed using assorted parameters and it has been found that the deep learning integration approach for chaos and PCA is quite important and performance aware in the multiple parameters with the different datasets in evaluations.

Branding efforts and SME performance – an empirical investigation of variations across firm sizes and business sectors

2017 ◽  
Vol 19 (1) ◽  
pp. 59-76 ◽  
Author(s):  
Raphael Odoom ◽  
Priscilla Mensah ◽  
George Asamoah
Keyword(s):  
Principal Component Analysis ◽  
Emerging Market ◽  
Pearson Correlation ◽  
Principal Component ◽  
Component Analysis ◽  
Content Type ◽  
Brand Building ◽  
Brand Marketing ◽  
And Performance ◽  
Stage Analysis

Purpose This paper aims to draw on the organizational ecology theory to examine variations in branding efforts and performance of small and medium-sized enterprises (SMEs) across enterprises sizes and business operating sectors. Design/methodology/approach A four-stage analysis involving principal component analysis, Pearson correlation, ANOVA and logistic regressions was used on a sample of 430 SMEs within an emerging market. Findings Principal component analysis identified four brand marketing efforts relevant to the SMEs. These efforts were used in fluctuating extents among small-sized versus medium-sized enterprises, as well as manufacturing versus services SMEs. Additionally, proportionate levels of performance corollaries were found to be accruable across the enterprise sizes and operating sectors. Originality/value The paper first identifies four brand-building efforts germane to SMEs within an emerging market and examines their precise contributions to firm performance within enterprise sizes and business operating sectors. It further reinforces the relevance of brand marketing programs to the growth of SMEs by establishing the likelihood and extent to which brand-building efforts impact on SME performance across enterprise sizes, as well as operating sectors. The study also presents issues of potential research and managerial interest from an emerging market, offering insightful implications to researchers and SME managers.

scholarly journals Principal component analysis in determining representative financial ratios within non-life insurance sector in Serbia

2021 ◽  
Vol 69 (6-7) ◽  
pp. 306-317
Author(s):  
Vladimir Vasić ◽  
Jelena Kočović ◽  
Marija Koprivica
Keyword(s):  
Principal Component Analysis ◽  
Life Insurance ◽  
Financial Analysis ◽  
Principal Component ◽  
Component Analysis ◽  
Capital Adequacy ◽  
Financial Ratios ◽  
Insurance Companies ◽  
Insurance Sector ◽  
And Performance

The paper deals with the application of principal component analysis in determining financial ratios that are representative within non-life insurance sector. Starting from many financial indicators found in the literature in the field of insurance, the purpose of the study is to identify a smaller set of ratios that are most relevant for assessing the financial position and performance of non-life insurance companies in Serbia with a minimum loss of information. On the basis of financial reports of nonlife and composite insurers in the period 2010-2019, we calculated 38 financial ratios, grouped into seven categories (capital adequacy, asset quality, reinsurance risk and performance, adequacy of technical reserves, profitability, liquidity and management soundness). Using parallel analysis and Velicer's minimum average partial test, we found that it is possible to explain 85% of variability of the initial set of ratios with six financial ratios. The obtained results can be used for the purposes of efficient financial analysis of individual insurance companies and the entire nonlife insurance sector in Serbia.

scholarly journals Forgery Detection in Dynamic Signature Verification by Entailing Principal Component Analysis

2007 ◽  
Vol 2007 ◽  
pp. 1-8 ◽  
Author(s):  
Shohel Sayeed ◽  
S. Andrews ◽  
Rosli Besar ◽  
Loo Chu Kiong
Keyword(s):  
Principal Component Analysis ◽  
Detection System ◽  
Principal Component ◽  
Component Analysis ◽  
Error Rates ◽  
Forgery Detection ◽  
Data Glove ◽  
And Performance ◽  
Dynamic Signature ◽  
Operational Data

The critical analysis of the data glove-based signature identification and forgery detection system emphasizes the essentiality of noise-free signals for input. Lucid inputs are expected for the accuracy enhancement and performance. The raw signals that are captured using 14- and 5-electrode data gloves for this purpose have a noisy and voluminous nature. Reduction of electrodes may reduce the volume but it may also reduce the efficiency of the system. The principal component analysis (PCA) technique has been used for this purpose to condense the volume and enrich the operational data by noise reduction without affecting the efficiency. The advantage of increased discernment in between the original and forged signatures using 14-electrode glove over 5-electrode glove has been discussed here and proved by experiments with many subjects. Calculation of the sum of mean squares of Euclidean distance has been used to project the advantage of our proposed method. 3.1% and 7.5% of equal error rates for 14 and 5 channels further reiterate the effectiveness of this technique.

The contributions of compositional structure and performance expression to the communication of emotion in music

2013 ◽  
Vol 42 (4) ◽  
pp. 503-524 ◽  
Author(s):  
Lena Quinto ◽  
William Forde Thompson ◽  
Alan Taylor
Keyword(s):  
Principal Component Analysis ◽  
Principal Component ◽  
Component Analysis ◽  
Forced Choice ◽  
Compositional Structure ◽  
Composition Condition ◽  
And Performance ◽  
Decoding Accuracy

In this investigation, eight highly-trained musicians communicated emotions through composition, performance expression, or the combination of the two. In the performance condition, they performed melodies with the intention of expressing six target emotions: anger, fear, happiness, neutral, sadness, and tenderness. In the composition condition, they composed melodies to express the same six emotions. The notated compositions were then played digitally without performance expression. In the combined condition, musicians performed the melodies they composed to convey the target emotions. Forty-two listeners heard the stimuli and attempted to decode the emotions in a forced-choice paradigm. Decoding accuracy varied significantly as a function of the channel of communication. Fear was comparatively well-decoded in the composition condition whereas anger was comparatively well decoded in the performance condition. Happiness and sadness were comparatively well-decoded in all three channels of communication. A principal component analysis of cues used by musicians clarified the distinct approaches adopted in composition and performance to differentiate emotional intentions. The results confirm that composition and performance involve the manipulation of distinct cues and have different emotional capabilities.

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