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Tytuł:
The accuracy of a new approach to order determination for the Modified Prony method in swath mapping application
Autorzy:
Grall, P.
Powiązania:
https://bibliotekanauki.pl/articles/332035.pdf
Data publikacji:
2017
Wydawca:
Polskie Towarzystwo Akustyczne
Tematy:
swath bathymetry
principal components
resolution
DOA
Opis:
This article presents the performance of a new approach to determine the model order for the modified Prony method applied to swath acoustic mapping. Key requirements for any mapping application are depth determination accuracy and angular resolution. Depth determination accuracy is strictly related to angular accuracy and geometrical relations between receiver and sources of the backscattered signal. Angular resolution determines detection capabilities of targets laying on the seafloor. Performance of the proposed method, in terms of these two parameters, is tested against a simulated signal in a number of generic configurations, and compared to the results of other methods applied to the same signal.
Źródło:
Hydroacoustics; 2017, 20; 51-62
1642-1817
Pojawia się w:
Hydroacoustics
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
The dimensions of national competitiveness: The empirical analysis based on The World Economic Forum’s data
Autorzy:
Adamkiewicz, Hanna G.
Powiązania:
https://bibliotekanauki.pl/articles/557834.pdf
Data publikacji:
2019-10-01
Wydawca:
Uniwersytet Ekonomiczny w Poznaniu
Tematy:
national competitiveness
productivity
catalyst
principal components
Opis:
The aim of this research is to determine the minimum number of uncorrelated dimensions which can describe national competitiveness (NC). NC is thought of as the ability of a nation to provide a conducive environment for its firms to prosper. It is shown that the environment affects national productivity catalytically through the interactions with the production factors while itself remaining unchanged. Selected World Economic Forum’s indicators are used for determining the components of the environment. The Principal Component Analysis has revealed three orthogonal dimensions of NC. Countries are represented by the points in the three-dimensional space. The weighted Euclidean distance from the origin to the ith point is proposed as a novel measure of the ith country’s level of NC.
Źródło:
Economics and Business Review; 2019, 5 (19), 3
2392-1641
Pojawia się w:
Economics and Business Review
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
A learning algorithm combining functional discriminant coordinates and functional principal components
Autorzy:
Górecki, Tomasz
Krzyśko, Mirosław
Powiązania:
https://bibliotekanauki.pl/articles/729818.pdf
Data publikacji:
2014
Wydawca:
Uniwersytet Zielonogórski. Wydział Matematyki, Informatyki i Ekonometrii
Tematy:
functional principal components
functional discriminant coordinates
Opis:
A new type of discriminant space for functional data is presented, combining the advantages of a functional discriminant coordinate space and a functional principal component space. In order to provide a comprehensive comparison, we conducted a set of experiments, testing effectiveness on 35 functional data sets (time series). Experiments show that constructed combined space provides a higher quality of classification of LDA method compared with component spaces.
Źródło:
Discussiones Mathematicae Probability and Statistics; 2014, 34, 1-2; 127-141
1509-9423
Pojawia się w:
Discussiones Mathematicae Probability and Statistics
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
On the Correlation between Random Variables and their Principal Components
Autorzy:
Gniazdowski, Zenon
Powiązania:
https://bibliotekanauki.pl/articles/14115826.pdf
Data publikacji:
2023-09
Wydawca:
Warszawska Wyższa Szkoła Informatyki
Tematy:
correlation
random components
principal components
factors
common variance
Opis:
The article attempts to find an algebraic formula describing the correlation coefficients between random variables and the principal components representing them. As a result of the analysis, starting from selected statistics relating to individual random variables, the equivalents of these statistics relating to a set of random variables were presented in the language of linear algebra, using the concepts of vector and matrix. This made it possible, in subsequent steps, to derive the expected formula. The formula found is identical to the formula used in Factor Analysis to calculate factor loadings. The discussion showed that it is possible to apply this formula to optimize the number of principal components in Principal Component Analysis, as well as to optimize the number of factors in Factor Analysis.
Źródło:
Zeszyty Naukowe Warszawskiej Wyższej Szkoły Informatyki; 2023, 17, 28; 41-55
1896-396X
2082-8349
Pojawia się w:
Zeszyty Naukowe Warszawskiej Wyższej Szkoły Informatyki
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Assessment of genotype × trait interaction of rye genotypes for some morphologic traits through GGE biplot methodology
Autorzy:
Yari, Samaneh
Sabaghnia, Naser
Pasandi, Mokhtar
Janmohammadi, Mohsen
Powiązania:
https://bibliotekanauki.pl/articles/763839.pdf
Data publikacji:
2017
Wydawca:
Uniwersytet Marii Curie-Skłodowskiej. Wydawnictwo Uniwersytetu Marii Curie-Skłodowskiej
Tematy:
genotype-by-trait, principal components, trait associations
Opis:
Effective interpretation of the data on breeding programs is important at all stages of plant improvement and the genotype by trait (GT) biplot was used for two-way wheat dataset as genotypes with multiple traits. For this propose, 18 rye genotypes with specific characteristics were evaluated in randomized block design with four replications. The GT biplot for rye dataset explained 61% of the total variation of the standardized data (the first two principal components explained 40 and 21% respectively). The polygon view of GT presented for 11 different traits of rye cultivars showed six vertex cultivars as G1, G3, G6, G8, G11 and G13 whose genotype G8 had the highest values for most of the measured traits. Generally based on vector view, ideal genotype and ideal tester biplots, it was demonstrated that the selection of high seed yield will be performed via seed number per spike, first internode weight, number of spike per area and harvest index. These traits should be considered simultaneously as effective selection criteria evolving high yielding rye cultivars because of their large contribution to seed yield. The genotypes G8 and G7 following to genotypes G3, G18 and G19 could be considered for the developing of desirable progenies in the selection strategy of rye improvement programs.
Źródło:
Annales Universitatis Mariae Curie-Sklodowska, sectio C – Biologia; 2017, 72, 1
2083-3563
0066-2232
Pojawia się w:
Annales Universitatis Mariae Curie-Sklodowska, sectio C – Biologia
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Theoretical analysis of a new approach to order determination for a modified Prony method in swath mapping application
Autorzy:
Grall, P.
Marszal, J.
Powiązania:
https://bibliotekanauki.pl/articles/332107.pdf
Data publikacji:
2017
Wydawca:
Polskie Towarzystwo Akustyczne
Tematy:
swath bathymetry
interferometry
principal components
DOA
MBES
Opis:
This article presents a new approach to determine the model order (number of principal components) in the modified Prony method applied to swath acoustic mapping. Determination of the number of principal components is a crucial step in the modified Prony method. In the proposed approach the model order is chosen based on the underlying physical model of the underwater acoustic environment, and utilised signal processing operations. This data-driven approach, attempts to make use of all available information to assess the number of signals arriving at the receiver using pipeline processing in lieu of iterative processing.
Źródło:
Hydroacoustics; 2017, 20; 63-74
1642-1817
Pojawia się w:
Hydroacoustics
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Generating new styles of Chinese strokes based on statistical model
Autorzy:
Xu, M.
Dong, J.
Powiązania:
https://bibliotekanauki.pl/articles/1943264.pdf
Data publikacji:
2007
Wydawca:
Politechnika Gdańska
Tematy:
figurative thinking
Principal Components Analysis
Bézier curve
Opis:
Chinese calligraphy is one of the most important Chinese arts: a form of entertainment as well as an embodiment of figurative thinking. In this paper, a statistical model-based approach to generating new styles of Chinese character strokes is proposed. Original calligraphy samples are aligned in a common co-ordinate frame and a training set consisting of landmarks is generated semi-automatically. The most significant features of the training set are extracted and a statistical model is built in order to generate strokes in new styles. The Bezier curve is used to fit the discrete contour data.
Źródło:
TASK Quarterly. Scientific Bulletin of Academic Computer Centre in Gdansk; 2007, 11, 1-2; 129-136
1428-6394
Pojawia się w:
TASK Quarterly. Scientific Bulletin of Academic Computer Centre in Gdansk
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Principal Component Analysis versus Factor Analysis
Autorzy:
Gniazdowski, Zenon
Powiązania:
https://bibliotekanauki.pl/articles/1790041.pdf
Data publikacji:
2021-09
Wydawca:
Warszawska Wyższa Szkoła Informatyki
Tematy:
principal component analysis
factor analysis
number of principal components
number of factors
determining number of principal components
determining number of factors
Opis:
The article discusses selected problems related to both principal component analysis (PCA) and factor analysis (FA). In particular, both types of analysis were compared. A vector interpretation for both PCA and FA has also been proposed. The problem of determining the number of principal components in PCA and factors in FA was discussed in detail. A new criterion for determining the number of factors and principal components is discussed, which will allow to present most of the variance of each of the analyzed primary variables. An efficient algorithm for determining the number of factors in FA, which complies with this criterion, was also proposed. This algorithm was adapted to find the number of principal components in PCA. It was also proposed to modify the PCA algorithm using a new method of determining the number of principal components. The obtained results were discussed.
Źródło:
Zeszyty Naukowe Warszawskiej Wyższej Szkoły Informatyki; 2021, 15, 24; 35--88
1896-396X
2082-8349
Pojawia się w:
Zeszyty Naukowe Warszawskiej Wyższej Szkoły Informatyki
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Assessment of interpersonal trust of Poles by the principal components analysis and log-linear modeling
Autorzy:
Grześkowiak, Alicja
Powiązania:
https://bibliotekanauki.pl/articles/425118.pdf
Data publikacji:
2014
Wydawca:
Wydawnictwo Uniwersytetu Ekonomicznego we Wrocławiu
Tematy:
interpersonal trust
principal components analysis
log-linear analysis
Opis:
Interpersonal trust in Poland is found to be at a very low level. This paper aims at the analysis of this phenomenon on the basis of European Social Survey data. Principal components analysis was applied to examine the degree of interpersonal trust in Poland in relation to other countries. Associations of three dimensions of trust, i.e. trustfulness, fairness and helpfulness, were analyzed by log-linear modeling as well as an agreement measure relevant for categorical variables. A composite indicator based on the first principal component scores confirmed the relatively poor social trust of Poles. A moderate agreement on any two of the three facets of this phenomenon was uncovered and in most cases no interactions among all three aspects of interpersonal trust were detected.
Źródło:
Econometrics. Ekonometria. Advances in Applied Data Analytics; 2014, 1(43); 74-86
1507-3866
Pojawia się w:
Econometrics. Ekonometria. Advances in Applied Data Analytics
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Statistical risk quantification of two-directional internet traffic flows
Autorzy:
Kokoszka, Piotr
Lin, Mengting
Wang, Haonan
Hayne, Stephen
Powiązania:
https://bibliotekanauki.pl/articles/32222709.pdf
Data publikacji:
2024-03-24
Wydawca:
Główny Urząd Statystyczny
Tematy:
Copula
Functional data
Internet traffic
Principal components
Risk quantification
Opis:
We develop statistical methodology for the quantification of risk of source-destination pairs in an internet network. The methodology is developed within the framework of functional data analysis and copula modeling. It is summarized in the form of computational algorithms that use bidirectional source-destination packet counts as input. The usefulness of our approach is evaluated by an application to real internet traffic flows and via a simulation study.
Źródło:
Statistics in Transition new series; 2024, 25, 1; 1-22
1234-7655
Pojawia się w:
Statistics in Transition new series
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Application of multivariate statistical methods for characterizing heterolithic reservoirs based on wireline logs : example from the Carpathian Foredeep Basin (Middle Miocene, SE Poland)
Autorzy:
Puskarczyk, E.
Jarzyna, J.
Porębski, Sz.
Powiązania:
https://bibliotekanauki.pl/articles/2059820.pdf
Data publikacji:
2015
Wydawca:
Państwowy Instytut Geologiczny – Państwowy Instytut Badawczy
Tematy:
log
Principal Components Analysis
Carpathian Foredeep
Miocene
heterolithic reservoir rock
Opis:
Principal Components Analysis (PCA) and Cluster Analysis (CA) were applied for well log data derived from heterolithic intervals drilled in two boreholes (Mrowla-1 and Cierpisz-2) in the Miocene fill of the Carpathian Foredeep. Both boreholes penetrated similar basement elevations conductive for structural trapping of hydrocarbons in an overlying thin-bedded heterolithic reservoir, which produces gas in commercial quantities in one borehole. The PCA was used to reduce data space preserving sufficient amounts of parameters for a differentiation between thin layers of sandstones and mudstones and between gas- and water-saturated horizons. In both boreholes, the number of logs was reduced to four significant principal components (PCs). Differences between gas-saturated and water-saturated layers were found. CA was used for the classification and grouping of data according to natural petrophysical features of the analysed rocks. The group corresponding to gas-saturated zones was found in the Cierpisz-2 borehole. It is concluded that PCA and CA can provide useful information for a more reliable identification of gas-saturated horizons.
Źródło:
Geological Quarterly; 2015, 59, 1; 157--168
1641-7291
Pojawia się w:
Geological Quarterly
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Factor analysis. Fact or fabrication
Autorzy:
Francis, I.
Powiązania:
https://bibliotekanauki.pl/articles/747573.pdf
Data publikacji:
1978
Wydawca:
Polskie Towarzystwo Matematyczne
Tematy:
Factor analysis and principal components
correspondence analysis,Applications to psychology
Opis:
Artykuł nie zawiera streszczenia
In this survey paper the author critically examines all aspects of factor analysis: the data structure it is intended to describe; the methods of analysis aimed at estimating that structure; and the interpretations placed on the results of the analysis. The first part of the paper deals with the theory underlying the technique. It is shown that, in general, the estimation problem of factor analysis is insoluble.  In particular, if there are p variables, and m factors are to be identified, there are indeterminacies in the model itself unless p is at least 2m+1; even when the condition is satisfied,  the solution is determinate only up to a group of rotations. After a brief discussion of principal component analysis, principal factor analysis is described. It is shown by examples that "principal factor analysis may give factor estimates that bear no relationship whatever to the true values''. Even with maximum likelihood methods, which are briefly described, there are indeterminacies. It is shown with synthetic data that a restriction usually imposed to achieve uniqueness does not necessarily retrieve the originally applied parameters. The situation is further complicated by the rotation of factors to achieve either a simple structure or a psychologically meaningful solution. The second part of the paper describes the testing of factor analysis programs using artificial data. The general conclusion from this practical study is that, while the numerical accuracy of the programs is satisfactory, the results obtained do not correspond to the original structure of the data, but produce "factors'' that were not initially present. The examples also show that, when matrices of estimated loadings are subjected to an orthogonal transformation, "all resemblance to the true loadings disappeared''. The author makes various pungent comments on the findings from this study.    The paper concludes with a short section on the clustering of variables into uncorrelated sets.
Źródło:
Mathematica Applicanda; 1978, 6, 12
1730-2668
2299-4009
Pojawia się w:
Mathematica Applicanda
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
A comparative analysis of the principal component method and parallel analysis in working with official statistical data
Autorzy:
Holubova, Halyna
Powiązania:
https://bibliotekanauki.pl/articles/10559806.pdf
Data publikacji:
2023-02-24
Wydawca:
Główny Urząd Statystyczny
Tematy:
principal components
principal component analysis
factor analysis
Kaiser criterion
рarallel analysis
simulation
Opis:
The dynamic development of the digitized society generates large-scale information data flows. Therefore, data need to be compressed in a way allowing its content to remain complete and informative. In order for the above to be achieved, it is advisable to use the principal component method whose main task is to reduce the dimension of multidimensional space with a minimal loss of information. The article describes the basic conceptual approaches to the definition of principle components. Moreover, the methodological principles of selecting the main components are presented. Among the many ways to select principle components, the easiest way is selecting the first k-number of components with the largest eigenvalues or to determine the percentage of the total variance explained by each component. Many statistical data packages often use the Kaiser method for this purpose. However, this method fails to take into account the fact that when dealing with random data (noise), it is possible to identify components with eigenvalues greater than one, or in other words, to select redundant components. We conclude that when selecting the main components, the classical mechanisms should be used with caution. The Parallel analysis method uses multiple data simulations to overcome the problem of random errors. This method assumes that the components of real data must have greater eigenvalues than the parallel components derived from simulated data which have the same sample size and design, variance and number of variables. A comparative analysis of the eigenvalues was performed by means of two methods: the Kaiser criterion and the parallel Horn analysis on the example of several data sets. The study shows that the method of parallel analysis produces more valid results with actual data sets. We believe that the main advantage of Parallel analysis is its ability to model the process of selecting the required number of main components by determining the point at which they cannot be distinguished from those generated by simulated noise.
Źródło:
Statistics in Transition new series; 2023, 24, 1; 199-212
1234-7655
Pojawia się w:
Statistics in Transition new series
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
System szkolnictwa wyższego a kapitał intelektualny regionu w wybranych krajach europejskich
Higher education system vs. intellectual capital of the region, based on selected European countries
Autorzy:
Rószkiewicz, Małgorzata
Powiązania:
https://bibliotekanauki.pl/articles/424819.pdf
Data publikacji:
2013
Wydawca:
Wydawnictwo Uniwersytetu Ekonomicznego we Wrocławiu
Tematy:
intellectual capital
higher education system
principal components analysis
re¬gression analysis
Opis:
This paper analyzes the relation between intellectual capital and development of higher education system. The measurement was executed for the set of 16 UE countries, including Poland. Applied approach into the measurement of intellectual capital was regarded as the extension of the proposals presented by the author in the Report of Intellectual Capital of Poland (www.innowacyjnosc.gpw.pl/kip). The paper focuses on crucial features of the higher education system which was extracted in the procedure of principal components. Using these components a comparative analysis of Polish higher education system in Poland was examined and collated with systems of other UE countries. The study also examined the influence of these crucial factors on the level of intellectual capital. A regression model describing dependence of intellectual capital on these core components was estimated. The results show a big disproportion between quality and range of the Polish higher education system. That means that the prevalent development of Polish higher education system focuses on the scale of functioning but extensive development does not follow development of quality. However, the model of the relation estimated for a set of UE countries shows that the qualitative features of the higher education system play a crucial role in shaping the level of intellectual capital.
Źródło:
Econometrics. Ekonometria. Advances in Applied Data Analytics; 2013, 2(40); 9-21
1507-3866
Pojawia się w:
Econometrics. Ekonometria. Advances in Applied Data Analytics
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Socio-economic transformation of Poland’s largest cities over the years 1998–2008: A multivariate approach
Autorzy:
Mierzejewska, Lidia
Powiązania:
https://bibliotekanauki.pl/articles/1023174.pdf
Data publikacji:
2018-07-30
Wydawca:
Uniwersytet im. Adama Mickiewicza w Poznaniu
Tematy:
socio-economic changes
Polish cities
demographic changes
principal components analysis
cluster analysis
Opis:
This article seeks to show changes in the socio-economic structure of the thirty largest Polish cities, in topological relations, and in the type of socio-economic differences among them. The research was carried out at three analytical levels: of the unitary variables chosen, principal components, and in a synthetic approach (cluster analysis). To assess structural changes, use was made of comparative statics involving an analysis of the 1998 and 2008 situations. The period analysed was one of dynamic changes in the determinants of the socio-economic development of Polish cities, with four reforms of key significance being introduced, not all of them crowned with success, but also a period marking the start of a decline in demographic dynamics and of suburbanisation processes. It is also treated as a time of transition from a quantitative to a qualitative type of urban development, as indicated by improving services in the sphere of municipal infrastructure. Those processes are connected with the restructuring of the economy, in particular with its distinctly post-industrial orientation, which is especially readily visible in the case of the Upper Silesian Industrial District (a mining and heavy-industry region). The research corroborated the highly specific type of development of the towns of this region as well as the unique position of the Polish capital city. It also showed that the changes which determined the tendencies of transformation of the Polish cities were mainly those in demography, housing situation, level of health care, and level of entrepreneurship.
Źródło:
Rozwój Regionalny i Polityka Regionalna; 2013, 24; 83-98
2353-1428
Pojawia się w:
Rozwój Regionalny i Polityka Regionalna
Dostawca treści:
Biblioteka Nauki
Artykuł
Wyświetlanie 1-15 z 50

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