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Wyświetlanie 1-15 z 57
Tytuł:
Noninvasive blood glucose level monitoring for predicting insulin infusion rate using multivariate data
Autorzy:
Geetha, G.
Ponsam, J. Godwin
Nimala, K.
Powiązania:
https://bibliotekanauki.pl/articles/38709458.pdf
Data publikacji:
2024
Wydawca:
Instytut Podstawowych Problemów Techniki PAN
Tematy:
CGM
fog computing
hypoglycemia
hyperglycemia
Apriori algorithm
obliczenie mgły
hipoglikemia
hiperglikemia
Algorytm Apriori
Opis:
Diabetes stands as the most widely recognized acute disease globally, resulting in death when it is not treated in an appropriate manner and time. We have developed a closedloop control system that uses continuous glucose, carbohydrate, and physiological variable data to regulate glucose levels and treat hyperglycemia and hypoglycemia, as well as a hypoglycemia early warning module. Overall, the proposed models are effective at predicting a normal glycemic range from >70 to 180 mg/dl, hypoglycemic values of <70 mg/dl, and hyperglycemic value of 180 mg/dl blood sugar levels. We undertook a seven-day, day-and-night home study with 15 adults. Initially, we started with checking insulin levels after meal consumption, and later, we concentrated on how our system reacted to the physical activity of the patients. Evaluation was conducted based on performance parameters such as precision (0.87), recall (0.87), F-score (0.82), delay (26.5±3), and error size (1.14±2).
Źródło:
Computer Assisted Methods in Engineering and Science; 2024, 31, 2; 157-174
2299-3649
Pojawia się w:
Computer Assisted Methods in Engineering and Science
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Application of Statistical Methods for the Comparative Study of the Degree of Pollution of Wastewater Collected from Three Olive Mills in Tangier-Tetouan-Al Hoceima Region (Northern Morocco)
Autorzy:
Es Saouini, Hind
Bouzid, Saida
Trankil, Abdellah
Amharref, Mina
Bernoussi, Abd Samed
Powiązania:
https://bibliotekanauki.pl/articles/24201736.pdf
Data publikacji:
2023
Wydawca:
Polskie Towarzystwo Inżynierii Ekologicznej
Tematy:
olive mill wastewater
degree of pollution
multivariate statistical method
ACPN
HCPC
Opis:
Olive mill wastewaters represent a severe environmental problem, especially in Mediterranean countries. Indeed, the treatment and recovery processes developed so far remain very limited and their cost is very high. However, treatment by shallow evaporation ponds in the open air remains, until now, the most used technique despite the efforts made. The volume and characteristics of this liquid effluent depend, among other things, on the nature of the extraction process used. In this context, this work aims to evaluate the effect of the mode of trituration and storage in the evaporation ponds on the quality of olive oil mill wastewaters. These effluents were collected from three olive mills located in two different provinces in Northern Morocco during the 2021–2022 olive growing season. The sampling has considered different points according to different steps of the process. The analytical work corresponded to the measurement of in-situ parameters (Temperature (T°), Dissolved Oxygen (DO), Electrical Conductivity (EC) and pH degree (pH)) and other laboratory analysis (Suspension Matter (SM), Dry Matter (DM), Fatty Matter (FM), biochemical (BOD5) and chemical (COD)demands in oxygen). Results showed a high degree of environmental degradation. Indeed, these effluents are characterized, on average, by elevated concentrations of biological and chemical oxygen demands and suspended solids reaching up to 0.43 g/L ± 0.87, 1.69 g/L ±0.71 and 30.78 g/L ±25.1, respectively. This study also showed, except for two-phase olive mill BNANDA, a slightly alkaline nature of the vegetable waters (7.81<pH<8.52), as opposed to what was reported in the literature, and high levels in fat content (4.73 g/L ±3.85). Moreover, the estimated volume of vegetable water released in the study area during the 2019/2020 olive growing season (350×103 m3) is very high considering its equivalence to domestic water. Normalized Principal Component Analysis (ACPN) and Hierarchical Principal Component Classification (HCPC) indicate that differences in the composition of this wastewater were more pronounced between the extraction processes than by the origins of the vegetable waters (fresh or stored in the natural evaporation pond).
Źródło:
Journal of Ecological Engineering; 2023, 24, 4; 320--332
2299-8993
Pojawia się w:
Journal of Ecological Engineering
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Application of Multivariate Statistical Methods to the Hydrochemical Study of Groundwater Quality in the Sahel Watershed, Algeria
Autorzy:
Hakim, Djafer Khodja
Amina, Aichour
Amina, Rezig
Djouhra, Baloul
Ahmed, Ferhati
Powiązania:
https://bibliotekanauki.pl/articles/2173331.pdf
Data publikacji:
2022
Wydawca:
Polskie Towarzystwo Inżynierii Ekologicznej
Tematy:
hydrochemical analysis
water quality
groundwater
principal component analysis
hierarchical cluster analysis
Sahel watershed
Opis:
The quality of groundwater is characterized by several numbers of physical and chemical parameters, which determine the use of water (water supply, irrigation, industry). This search paper is a contribution made to know the hydrochemical characteristics of groundwater in the Sahel sub-catchment which belongs to the large Soummam North basin of Algeria. Different multivariate statistical techniques were used such as principal component analysis (PCA), Hierarchical Cluster Analysis (HCA) and Diagram Analysis. These analyses are exercised to a dataset formed from 37 boreholes with 12 chemical variables over the entire surface of the watershed. The samples were collected in 2016. The 37 boreholes are one of the main water resources that supply the wilaya of Bouira with drinking water and irrigation. The analysis of water quality using different methods (ACP, HCA and Diagram) resulted in two chemical kinds: (Chloride, calcium sulfate and magnesium), and (Bicarbonate calcium and magnesium). The results have shown that 74% of the boreholes were contaminated, the rest of boreholes were characterized by a good quality and they have not suffered any contamination and can be consumed without any risk.
Źródło:
Journal of Ecological Engineering; 2022, 23, 8; 341--349
2299-8993
Pojawia się w:
Journal of Ecological Engineering
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Identification of pollution sources in the Narew River catchment using multivariate statistical methods
Autorzy:
Ofman, Piotr
Powiązania:
https://bibliotekanauki.pl/articles/2141488.pdf
Data publikacji:
2022
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
Narew River catchment
pollution sources identification
cluster analysis
Opis:
The aim of the statistical analyses carried out was to identify similarities and to point out differences between the various tributaries of the Narew River, to identify the factors and processes responsible for the transformations occurring in the aquatic environment and finally, to identify the main sources of pollution in the river catchment. For the purposes of statistical analysis, the results of studies conducted as part of diagnostic monitoring by the General Inspectorate for Environmental Protection in 2017–2018 were used. The studies included 8 measurement points located directly on the Narew River and 17 points located on its selected left and right tributaries. Analysis of the collected results indicates that the chemical condition of the water in the Narew catchment is assessed as being poor. This observation may be due to the fact that the Narew catchment is mainly used for agricultural purposes and, in addition, there is a relatively large number of potential anthropogenic sources. As part of the analysis, two potential sources of pollution affecting water quality in the Narew catchment were identified, which include surface run-off and treated wastewater inflow.
Źródło:
Studia Quaternaria; 2022, 39, 1; 23-30
1641-5558
2300-0384
Pojawia się w:
Studia Quaternaria
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Identifying Correlation of Coal Seams in the Tien Hai Area, Northern Vietnam by Using Multivariate Statistic Methods
Autorzy:
Khuong The, Hung
Nguyen, Phuong
Nguyen, Thi Cuc
Pham, Nhu Sang
Nguyen, Danh Tuyen
Powiązania:
https://bibliotekanauki.pl/articles/2019233.pdf
Data publikacji:
2021
Wydawca:
Polskie Towarzystwo Przeróbki Kopalin
Tematy:
identifying correlation of coal seams
multivariate statistic methods
Tien Hai area
Northern Vietnam
pokłady węgla
północny Wietnam
rejon Tien Hai
Opis:
In northern Vietnam, the Tien Hai area is considered a high potential area of coal deposits. Two hundred fifty-six geochemical coal samples of 13 cores in the Tien Hai area investigate coal seams and coal deposits to identify the correlation of coal seams. According to the statistical method and cluster analysis of geochemical samples, the results indicate that the Mg, V, As, Ca, Zn, Cr, Co, K, Na, Sr, Fe, Ge, Re, U, Mo, Th, and Ga elements are good indicator elements of the major and trace elements in coal. Most of them comply with the normal or lognormal distribution rules. Besides, the Yb, Sc, Ho, Er, Tm, Lu, Y, Tb, Pr, Dy, and Sm elements are also good indicator elements for rare earth elements in the region. Therefore, the selected elements are used to identify the correlation of the coal seams in the Tien Hai area. Based on the similarity degree between studied objects, the results of grouping boreholes in coal seams show that the correlation of coal seam TV2-11 is suitable and acceptable, the coal seams TV3-6a, TV3- 6b, and TV3-6c can be grouped into the coal seam TV3-6. These results present that the models can help study geochemical coal samples and identify the correlation of the coal seams in the Tien Hai area. Additionally, the statistical analysis shows a remarkable degree to determine the correlation of the coal seams. Geochemical coal data can help to evaluate the indicator elements of the major, trace elements, and rare earth elements in coal seams and coal rashing of adjoining and pillar rocks in the Tien Hai area, northern Vietnam.
Źródło:
Inżynieria Mineralna; 2021, 2; 129--148
1640-4920
Pojawia się w:
Inżynieria Mineralna
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Multidimensional analysis of the green growth of the European Union countries in 2019
Autorzy:
Kantor, Angelika
Powiązania:
https://bibliotekanauki.pl/articles/1195954.pdf
Data publikacji:
2021
Wydawca:
Wydawnictwo Uniwersytetu Ekonomicznego we Wrocławiu
Tematy:
green growth
Hellwig method
multivariate analyses
sustainable development taxonomic methods
Opis:
Green growth is a new approach to the economy that assumes the efficient use of raw materials while minimizing the negative impact on the environment. The aim of the study is to assess green growth in the European Union countries in 2019. For this purpose, secondary data was used and a multidimensional analysis of sustainable development was performed. The non-pattern model together with the Hellwig and Ward methods were implemented. This enabled a comparison between countries, and their classification due to a similar level of development. Based on the analysis, a large discrepancy in terms of green growth was observed in the examined countries. It was noted that the disproportion may turn out to be a problem in the implementation of the sustainable development policy. The results also showed that the position of the country is reflected in its geographic location.
Źródło:
Econometrics. Ekonometria. Advances in Applied Data Analytics; 2021, 25, 2; 46-66
1507-3866
Pojawia się w:
Econometrics. Ekonometria. Advances in Applied Data Analytics
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Basic multivariate statistical methods for environmental monitoring data mining: introductory course for master students
Autorzy:
Simeonov, Vasil
Powiązania:
https://bibliotekanauki.pl/articles/1430146.pdf
Data publikacji:
2020
Wydawca:
Towarzystwo Chemii i Inżynierii Ekologicznej
Tematy:
chemometrics
environmetrics
exploratory data analysis
EDA
master students course
chemometria
środowisko
eksploracyjna analiza danych
kurs magisterski
Opis:
The present introductory course of lectures summarizes the principles and algorithms of several widely used multivariate statistical methods: cluster analysis, principal components analysis, principal components regression, N-way principal components analysis, partial least squares regression and self-organizing maps with respect to their possible application in intelligent analysis, classification, modelling and interpretation to environmental monitoring data. The target group of possible users is master program students (environmental chemistry, analytical chemistry, environmental modelling and risk assessment etc.).
Źródło:
Chemistry-Didactics-Ecology-Metrology; 2020, 25, 1-2; 35-56
2084-4506
Pojawia się w:
Chemistry-Didactics-Ecology-Metrology
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Historia rozwoju statystycznych metod planowania i analizy doświadczeń rolniczych na świecie oraz w Polsce
A history of the development of statistical methods for designing and analyzing agricultural experiments in the world and in Poland
Autorzy:
Mądry, Wiesław
Gozdowski, Dariusz
Powiązania:
https://bibliotekanauki.pl/articles/2199478.pdf
Data publikacji:
2020-02-12
Wydawca:
Instytut Hodowli i Aklimatyzacji Roślin
Tematy:
metody statystyczne
metody wielowymiarowe
modele statystyczne
estymacja parametrów statystycznych
hipotezy
testowanie hipotez
układy doświadczalne
wnioskowanie statystyczne
statystycy
biometrycy
statistical methods
multivariate methods
estimation
hypothesis testing
experimental designs
statistical inference
statisticians
biometricians
Opis:
W pracy przedstawiono główne kierunki badań, ich chronologię oraz osiągnięcia w zakresie metod statystyki matematycznej w zastosowaniu do biometrii i doświadczalnictwa rolniczego, dokonywane od XVII wieku do czasów współczesnych. Uwzględniono dorobek uczonych na świecie oraz w Polsce. Podkreślono historyczne i współczesne znaczenie tych osiągnięć matematycznych i metodycznych dla rozwoju i postępu nauk empirycznych w ogóle, a zwłaszcza nauk rolniczych i biologicznych. Przedstawiono znaczenie zastosowania metod statystycznych w uznaniu empirycznych badań rolniczych, jako nauki rolnicze. Świadectwa i rozważania oraz autorskie osądy odkryć i wynalazków statystycznych na przestrzeni wieków i lat są udokumentowane i zilustrowane oryginalnymi publikacjami, a także realnymi dokonaniami pionierów statystyki, biometrii i doświadczalnictwa rolniczego oraz współczesnych uczonych w tych dziedzinach i specjalnościach.  
The paper presents the main directions, chronology and achievements in the field of mathematical statistical methods applied to biometrics and agricultural experimentation, conducted from the 17th century to modern times. The achievements of scientists globally and in Poland are taken into account. The historical and present importance of these mathematical and methodological findings for the development and progress of empirical sciences in general, and especially agricultural and biological sciences, is emphasized. The importance of using statistical methods in the recognition of empirical agricultural research as agricultural science is presented. Testimonies and considerations on statistical discoveries and inventions over the centuries are documented and illustrated by the original publications and real activities of the pioneers of statistics, biometrics and agricultural experimentation, as well as contemporary scientists in these fields.  
Źródło:
Biuletyn Instytutu Hodowli i Aklimatyzacji Roślin; 2020, 288; 23-40
0373-7837
2657-8913
Pojawia się w:
Biuletyn Instytutu Hodowli i Aklimatyzacji Roślin
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
The application of selected methods of multivariate statistical analysis to study objective quality of life in Polish and Belarusian regions
Autorzy:
Lialikava, Valiantsina
Skrodzka, Iwona
Kalinina, Alena
Powiązania:
https://bibliotekanauki.pl/articles/1043915.pdf
Data publikacji:
2020-12-30
Wydawca:
Główny Urząd Statystyczny
Tematy:
objective quality of life
TOPSIS
factor analysis
Opis:
The concept of life quality has been studied by specialists from a variety of scientific fields: economics, social geography, sociology, psychology, medicine, political sciences, and others. This contributes to the complementariness of the notion and broadens its interdisciplinary perspective, but on the other hand, it leads to a lack of unanimity in terms of the definition and measurement of the quality of life. Meanwhile, all developed countries in the world regard enhancing life quality as a priority of state policy. With the further advancement of our civilisation, quality of life will become a major issue in economic development. Therefore, monitoring this aspect of economic life, at both country and regional level, seems to be of particular significance. The paper aims to assess the suitability of selected methods of multivariate statistical analysis for the construction of a synthetic measure of objective quality of life. The study employs two methods of constructing synthetic measures of objective life quality: the linear ordering method - TOPSIS, and factor analysis. The results obtained by means of multivariate statistical analysis methods made it possible to create ratings of Polish and Belarusian regions in terms of objective quality of life and to further divide the regions into typological groups.
Źródło:
Przegląd Statystyczny; 2020, 67, 2; 152-173
0033-2372
Pojawia się w:
Przegląd Statystyczny
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Analysis of the nitrogen and magnesium doses effects of two cultivars of maize (Zea mays L.) using multivariate methods
Analiza efektów dawek azotu i magnezu dwóch odmian kukurydzy (Zea mays L.) z użyciem metod wielowymiarowych
Autorzy:
Bocianowski, Jan
Cichocki, Marek
Szulc, Piotr
Tratwal, Anna
Nowosad, Kamila
Kobus-Cisowska, Joanna
Powiązania:
https://bibliotekanauki.pl/articles/334705.pdf
Data publikacji:
2019
Wydawca:
Sieć Badawcza Łukasiewicz - Przemysłowy Instytut Maszyn Rolniczych
Tematy:
canonical variate analysis
maize
stay-green
nitrogen
magnesium
Mahalanobis distances
analiza zmiennych kanonicznych
kukurydza
azot
magnez
odległość Mahalanobisa
Opis:
The paper presents the results of a multivariable research regarding the evaluation of variability of selected quantitative traits in two cultivars of maize (Zea mays L.): ES Palazzo and ES Paroli after using doses of nitrogen and magnesium. The study took into account 12 traits recorded for three years (2009-2011). The statistical analysis of obtained results was conducted using multivariable methods: multivariate analysis of variance, canonical variable analysis and Mahalanobis distances. The most varied objects were A4B1C2 and A1B2C1 (in 2009), A4B1C1 and A2B2C2 (in 2010), A4B2C1 and A1B2C2 (in 2011) and A4B2C1 and A1B2C2 (for all three years). The most similar objects (with regard to the 12 traits analyzed together) were A4B2C2 and A3B2C2 (in 2009), A4B2C2 and A3B1C2 (in 2010), A2B2C2 and A2B1C2 (in 2011) and A4B2C2 and A3B2C2 (for all three years). The Mahalanobis distances between particular objects in particular years of observations were positive and statistically significantly correlated.
W pracy przedstawiono wyniki badania zmienności wybranych cech ilościowych dwóch odmian kukurydzy (Zea mays L.): ES Palazzo i ES Paroli po zastosowaniu różnych dawek azotu i magnezu stosując wielowymiarowe metody statystyczne. W badaniach wzięto pod uwagę 12 cech ilościowych obserwowanych w doświadczeniu trzyletnim przeprowadzonym w latach 2009-2011. Analiza statystyczna uzyskanych wyników została przeprowadzona z użyciem metod wielowymiarowych: wielozmiennej analizy wariancji, analizy zmiennych kanonicznych i odległości Mahalanobisa. Najbardziej zróżnicowanymi obiektami były A4B1C2 i A1B2C1 (w 2009), A4B1C1 i A2B2C2 (w 2010), A4B2C1 i A1B2C2 (w 2011) oraz A4B2C1 i A1B2C2 (dla wszystkich trzech lat). Natomiast, najbardziej podobnymi obiektami (pod względem wszystkich 12 cech traktowanych łącznie) były A4B2C2 i A3B2C2 (w 2009), A4B2C2 i A3B1C2 (w 2010), A2B2C2 i A2B1C2 (w 2011) oraz A4B2C2 i A3B2C2 (dla trzech lat). Odległości Mahalanobisa pomiędzy poszczególnymi obiektami w poszczególnych latach prowadzenia obserwacji były dodatnio i istotnie statystycznie skorelowane. Słowa
Źródło:
Journal of Research and Applications in Agricultural Engineering; 2019, 64, 3; 4-9
1642-686X
2719-423X
Pojawia się w:
Journal of Research and Applications in Agricultural Engineering
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Changes in the quality of shallow groundwater in agriculturally used catchment in the Wiśnickie Foothills (Southern Poland)
Zmiany jakości płytkich wód poziemnych w użytkowanej rolniczo zlewni na Pogórzu Wiśnickim (Południowa Polska)
Autorzy:
Bojarczuk, Anna
Jelonkiewicz, Ewelina
Jelonkiewicz, Łukasz
Lenart-Boroń, Anna
Powiązania:
https://bibliotekanauki.pl/articles/204997.pdf
Data publikacji:
2019
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
water quality
water pollution
wells
multivariate statistical methods
jakość wody
zanieczyszczenie wody
studnie
wielowymiarowe metody statystyczne
Opis:
The aim of this study was to examine the changes in the chemical composition of shallow groundwater and its quality that have occurred in the last decade in an agriculturally used, heavily populated and characterized by a complex geological structure, catchment of the Stara Rzeka river, located in the flysch part of the Outer Carpathians. Water samples were collected during 2013 from 19 still operating wells. Analyses of pH, electrolytic conductivity and chemical composition by ion chromatography were conducted. The obtained results were compared with the results of studies conducted in 2003 for the same wells. The quality of groundwater and its suitability for consumption was assessed based on the regulations currently existing in Poland. 21% of the wells still do not meet the requirements for drinking water in terms of at least one component. However, there was a decrease in the concentration of mineral forms of nitrogen and phosphorus in most of the wells and their mean concentration as compared to 2003 was reduced. In terms of physical and chemical characteristics groundwater of this region is typical of the hypergenic zone of the temperate climate. The highest concentrations were observed for Ca2+ and HCOˉ3 - ions, while K+ and Clˉ were characterized by the largest variability. Principal Component Analysis (PCA) demonstrated that the factors determining the quality and chemical composition of the analyzed waters include the composition of bedrock (mineralogy of the rock environment) and human economic activity, and that they have not been significantly changed over the past decade.
Celem opracowania jest zbadanie zmian składu chemicznego płytkich wód podziemnych i ich jakości jakie zaszły w ostatnim dziesięcioleciu w użytkowanej rolniczo, silnie zaludnionej, cechującej się skomplikowaną budową geologiczną zlewni Starej Rzeki, położonej we fliszowych Karpatach Zewnętrznych. W 2013 roku z 19 nadal użytkowanych studni pobrano próbki wody i poddano je analizie pH, przewodnictwa elektrolitycznego właściwego oraz składu chemicznego metodą chromatografii jonowej. Uzyskane wyniki porównano z wynikami badań z 2003 roku dla tych samych studni. Jakość wody podziemnej i jej przydatność do spożycia przez ludzi oceniono na podstawie obowiązujących w Polsce przepisów. 21% studni nadal nie spełnia wymogów stawianych wodzie do picia w zakresie przynajmniej jednego składnika, jednakże zaobserwowano spadek stężenia mineralnych form azotu i fosforu w większości studni oraz zmniejszenie się ich stężenia średniego w stosunku do 2003 r. Pod względem cech fizycznych i chemicznych wody podziemne tego regionu są typowe dla strefy hipergenicznej klimatu umiarkowanego. Najwyższe stężenia miały jony Ca2+ i HCOˉ3-, a najwyższą zmiennością cechowały się natomiast jony K+ i Clˉ. Analiza składowych głównych (PCA) dowiodła, że czynnikami decydującymi o jakości i składzie chemicznym wód są skład podłoża skalnego oraz gospodarcza działalność człowieka i nie uległy one znaczącym zmianom w minionym dziesięcioleciu.
Źródło:
Archives of Environmental Protection; 2019, 45, 1; 19-25
2083-4772
2083-4810
Pojawia się w:
Archives of Environmental Protection
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
On the potential for using selected PCA-based methods to analyze the crime rate in Poland
Autorzy:
Misztal, Małgorzata
Powiązania:
https://bibliotekanauki.pl/articles/424843.pdf
Data publikacji:
2019
Wydawca:
Wydawnictwo Uniwersytetu Ekonomicznego we Wrocławiu
Tematy:
crime
criminal offence
multivariate exploratory data analysis
principal component analysis
factorial maps
Opis:
The aim of the paper is to assess the potential for using some selected PCA-based methods to analyze the spatial diversity of crime in Poland during 2000-2017. Classical principal components analysis (PCA) deals with two-way matrices, usually taking into account objects and variables. In the case of data analyzed in the study, apart from two dimensions (objects – voivodships, variables – criminal offences), there is also the dimension of time, so the dataset can be seen as data cube: objects × variables × time. Therefore, this type of data requires the use of methods handling three-way data structures. In the paper the variability of some selected categories of criminal offences in time (2000- -2017) and space (according to voivodships) is analyzed using the between-class and the within-class principal component analysis. The advantage of these methods is, among others, the possibility of the graphical presentation of the results in two-dimensional space with the use of factorial maps.
Źródło:
Econometrics. Ekonometria. Advances in Applied Data Analytics; 2019, 23, 2; 15-32
1507-3866
Pojawia się w:
Econometrics. Ekonometria. Advances in Applied Data Analytics
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Prediction of changes in the tax burden of land plots with the use of multivariate statistical analysis methods
Autorzy:
Dmytrów, Krzysztof
Gnat, Sebastian
Powiązania:
https://bibliotekanauki.pl/articles/424949.pdf
Data publikacji:
2019
Wydawca:
Wydawnictwo Uniwersytetu Ekonomicznego we Wrocławiu
Tematy:
logistic regression
classification
multivariate statistical analysis
real estate mass appraisal
Opis:
It is believed that the ad valorem tax will increase fiscal burdens. In order to verify this statement, with the use of the Szczecin Algorithm of Real Estates Mass Appraisal, the land plots were appraised and the ad valorem tax was calculated. Next, a training set was sampled, for which the composite variable was calculated by means of three approaches: the TOPSIS method, the Generalised Distance Measure as the composite measure of development (GDM2), and the quasi-TOPSIS. They were the explanatory variables in the logistic regression model. Next, for the test set, changes of tax burden were forecasted. The aim of the research was to check the effectiveness of the presented approach for the estimation of the consequences of introducing the ad valorem tax. The results showed that all three approaches yielded similar results, but GDM2 was the best one. The main finding is that these approaches can be used in the prediction of changes in the tax burden of land plots.
Źródło:
Econometrics. Ekonometria. Advances in Applied Data Analytics; 2019, 23, 2; 33-48
1507-3866
Pojawia się w:
Econometrics. Ekonometria. Advances in Applied Data Analytics
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Variability of the Water Quality Characterizing High Andean Lagoons for Tourist Use Evaluated Through Multivariate Statistical Methods, Junín, Peru
Autorzy:
Custodio, María
Miranda, Gloria
Peñaloza, Richard
De la Cruz, Heidi
Chanmé, Fernán
Powiązania:
https://bibliotekanauki.pl/articles/125460.pdf
Data publikacji:
2019
Wydawca:
Polskie Towarzystwo Inżynierii Ekologicznej
Tematy:
water quality
high Andean lagoons
tourist use
indicators
multivariate statistical methods
Opis:
The spatial-temporal variability characterizing the water quality of high Andean lagoons for tourist use was evaluated using multivariate statistical methods during 2017 and 2018. The water samples were collected from 14 sampling sites, with three replicates each. The water quality indicators determined were: pH, temperature, DO, COD, BOD5, P, N, Fe, Cu, Cr, Cd, Pb, Zn and chlorophyll-a. The flat cluster analysis (k R cluster) according to Ward’s algorithm showed six significantly differentiated groups (α=0.01). In turn, the real similarity profile (SIMPROF) moves markedly away from the obtained low permutation with a large excess of Euclidean similarity with a Pi value of 0.627. The PCA showed that the first two components recommended by the sedimentation analysis (Scree test) indicated 61.52% of the total variation of the observations. According to the Spearman range correlation selection criterion, the variables that best interpret the sample distributions are COD, DTS, P, Cd and Zn with a correlation of 0.893, the DTS being the most important variable with a correlation value of 0.795. The PERMANOVA analysis according to the flat cluster factor indicated that at least one of the groups is different from the others in relation to the levels of physicochemical characteristics studied. Therefore, all the configured groups are statistically different, demonstrating that each lagoon is different in relation to its physicochemical indicators, according to the season in which it is found.
Źródło:
Journal of Ecological Engineering; 2019, 20, 8; 1-11
2299-8993
Pojawia się w:
Journal of Ecological Engineering
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
„Twarde” i „miękkie” metody badania struktur terytorialnych
Autorzy:
Gorzelak, Grzegorz
Powiązania:
https://bibliotekanauki.pl/articles/2021555.pdf
Data publikacji:
2018
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
regional development
multivariate statistical analysis
heuristic methods
Nauki Humanistyczne i Społeczne
Źródło:
Studia komitetu przestrzennego zagospodarowania kraju PAN; 2018, 183; 173-184
0079-3507
Pojawia się w:
Studia komitetu przestrzennego zagospodarowania kraju PAN
Dostawca treści:
Biblioteka Nauki
Artykuł
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