Temat: analysis of regression

Skocz do pozycji: 1.

Tytuł:: Kryteria wyboru adekwatnej funkcji trwałości ostrza skrawającego w programach krokowej regresji wielokrotnej. Cz. II – przykład aplikacji
Criteria of selection of tool life adequate function in programs of stepwise multiple regression, part II – Methodics
Autorzy:: Filipowski, R.
Tematy:: metoda krokowej regresji wielokrotnej
funkcje regresji
analiza statyczna
analiza reszt
stepwise multiple regression
regression equation
uniform scale
tool life
table of differences
statistical analysis of regression; Pokaż więcej
Wydawca:: Wydawnictwo AWART
Powiązania:: https://bibliotekanauki.pl/articles/404570.pdf Link otwiera się w nowym oknie
Opis:: W pracy wykorzystano metodę krokowej regresji wielokrotnej, która pozwala wybrać funkcje o możliwie małej liczbie zmiennych niezależnych oraz ich interakcji. Dobór funkcji regresji przedstawiono na przykładzie badań trwałości ostrza z węglika spiekanego podczas skrawania stali C45. Trwałość ostrza ustalono w/g kryterium zużycia VBB na powierzchni przyłożenia ostrza. Badania były wykonywane w/g planu kompozycyjnego pięciopoziomowego dla trzech zmiennych niezależnych: prędkości skrawania vc posuwu na obrót f oraz głębokości skrawania ap. Uzyskane funkcje regresji mają trzy formy: pierwsza - liniową z interakcjami w skali równomiernej, druga, także liniowa lecz z interakcjami w skali logarytmicznej oraz trzecia w formie iloczynowej. Przyjęcie jednej z form funkcji regresji ustala prowadzący badania na podstawie analizy statycznej i analizy reszt.
Method of stepwise multiple regression enable to select a function with the possible smallest number of independent variables and its interactions. Liminal criteria of variables selection were described using stepwise multiple regression program REGSTEP, worked out on the base of work [3], and in well-known program STATISTICA.
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 2.

Tytuł:: Oddziaływanie sposobów uprawy roli i pielęgnacji na jednostkową wydajność roślin ziemniaka
Affecting of soil tillage systems and weed control methods on the individual productivity of potato plants
Autorzy:: Gugała, Marek
Zarzecka, Krystyna
Baranowska, Alicja
Tematy:: analiza regresji
sposoby pielęgnacji
sposoby uprawy
współczynnik korelacji
ziemniak
analysis of regression
coefficient of correlation
potato
tillage systems
weed control methods; Pokaż więcej
Wydawca:: Instytut Hodowli i Aklimatyzacji Roślin
Powiązania:: https://bibliotekanauki.pl/articles/41530914.pdf Link otwiera się w nowym oknie
Opis:: W latach 2002–2004 przeprowadzono doświadczenie polowe na glebie kompleksu żytniego bardzo dobrego, w którym porównywano wpływ dwóch sposobów uprawy roli: tradycyjnej i uproszczonej oraz siedmiu sposobów pielęgnacji z zastosowaniem herbicydów na jednostkową wydajność roślin ziemniaka. Analiza statystyczna wykazała istotny wpływ sposobów pielęgnacji i warunków pogodowych w latach prowadzenia badań na masę i liczbę bulw pod jedną rośliną oraz średnią masę jednej bulwy. Stwierdzono występowanie wysokiej współzależności pomiędzy liczbą, świeżą i powietrznie suchą masą chwastów a cechami jednostkowej wydajności roślin ziemniaka. Większe ujemne oddziaływanie na jednostkową wydajność roślin wystąpiło przed zbiorem bulw niż na początku wegetacji, tj. przed zwarciem rzędów rośliny uprawnej. Wzrost zachwaszczenia o 1 g powietrznie suchej masy chwastów na m² spowodował zmniejszenie masy bulw pod 1 rośliną i średniej masy 1 bulwy przed zwarciem rzędów 0 3,27 i 0,62 g, a przed zbiorem ziemniaków o 9,05 i 1,67g.
The field experiments were carried out in 2002–2004 on a very good rye soil complex, which the effects of two soil tillage systems traditional and simplified, and of seven methods of weed control with herbicides on individual productivity of potato plants were compared. Statistical analysis revealed significant effects of the methods of weed control and of the weather conditions over the experimental years on the mass and number of the tubers per plant and on the average mass of one. High correlation between the number, fresh matter and air-dry matter of weeds and individual productivity of potato plants was found. A negative influence of weed infestation on individual productivity of plants appeared to be stronger before tubers harvest than at the beginning of crop growth, i.e. before closing of potato rows. The increase in weed infestation by 1 g of air-dry matter of weeds per m² resulted in the reduction of tuber mass per plant and of the average mass of tuber by 3.27 and 0.62 g, respectively, when recorded before closing of potato rows, and by 9.05 g and 1.67 g, when estimated before potato harvest.
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 3.

Tytuł:: Mathematical models for occupational injuries analysis at the enterprises of the state forestry committee of Ukraine
Autorzy:: Tysovsky, L.
Stepanyshyn, V.
Tematy:: occupational injuries
correlation and regression analysis
methods of multifactor analysis; Pokaż więcej
Wydawca:: Polska Akademia Nauk. Oddział w Lublinie PAN
Powiązania:: https://bibliotekanauki.pl/articles/972975.pdf Link otwiera się w nowym oknie
Opis:: The paper focuses on the mathematical models for the study of occupational injuries at the enterprises of the State Forestry Committee of Ukraine over a period of ten years. The major conditions and causes of the accidents have been indicated. The relationship between individual pairs of variables that influence occupational injuries has been determined on the basis of correlation and regression analysis. The correlation dependences of the frequency of occupational injuries on individual factors have been obtained. Using the methods of multifactor analysis, the relationship between the number of injuries and workers' occupations as well as types of works Has been established. The results obtained can be used for enhancing the efficiency of safety measures at the enterprises of for estry with the aim of reducing the rate of injury.
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 4.

Tytuł:: Spatial quantile regression in analysis of mortality
Przestrzenna regresja kwantylowa w analizie umieralności
Autorzy:: Trzpiot, Grażyna
Orwat-Acedańska, Agnieszka
Tematy:: regresja kwantylowa
analiza umieralności
analiza przestrzenna
quantile regression
analysis of mortality
spatial analysis; Pokaż więcej
Wydawca:: Uniwersytet Łódzki. Wydawnictwo Uniwersytetu Łódzkiego
Powiązania:: https://bibliotekanauki.pl/articles/658227.pdf Link otwiera się w nowym oknie
Opis:: Artykuł podejmuje problem analizy umieralności w Polsce. Celem pracy jest badanie wpływu wybranych czynników na średnią długość życia kobiet i mężczyzn w 66 podregionach Polski. Stosujemy modele kwantylowej autoregresji przestrzennej. W analizie wykorzystujemy metodologię wielorakiej regresji kwantylowej, która umożliwia analizę zależności pomiędzy zmiennymi w różnych kwantylach Rozkładu zmiennej niezależnej. Ponadto narzędzie to jest odporne na założenie klasycznej regresji dotyczące postaci wielowymiarowego rozkładu składnika losowego.
The paper concerns mortality in Poland. The aim of the article is to identify factors determining average life length of men and women in 66 subregions of Poland. We use spatial quantile regression methodology which allows studying dependencies between variables in different quantiles of the response distribution. Moreover, this statistical tool is robust against violations of the classical regression assumption about the multidimensional distribution of error term.
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 5.

Tytuł:: APPLICATION OF LOGISTIC REGRESSION IN THE SUBJECTIVE ASSESSMENT OF THE QUALITY OF LIFE OF POLES
Autorzy:: Kasprzyk, Beata
Wojnar, Beata
Tematy:: logistic regression analysis households
value of quality of life
qualitative variable
probability; Pokaż więcej
Wydawca:: Szkoła Główna Gospodarstwa Wiejskiego w Warszawie. Katedra Ekonometrii i Statystyki
Powiązania:: https://bibliotekanauki.pl/articles/453375.pdf Link otwiera się w nowym oknie
Opis:: The paper discusses the application of tools of multivariate analytical methods i.e., logistic regression, to model the subjective assessment of satisfaction/dissatisfaction with quality of life achieved. Based on empirical data from a random sampling of households in Podkarpacie province, the statistical significance of variables was estimated, which enabled the estimation of the value of life quality based entirely on qualitative variables, that are characteristic for a given household, with incomes being excluded. The essence of the regression is to seek such household related parameters, that could have varying degrees of impact on the occurrence of either negative or positive values. The models have been designed based on varied classification categories for households, thus allowing for both the quantitative analysis and comparison of the impacts of key cardinal determinants of values of life.
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 6.

Tytuł:: The use of regression trees to the analysis of real estate market of housing
Autorzy:: Preweda, Edward
Jasińska, Elżbieta
Wydawca:: International Multidisciplinary Scientific GeoConference SGEM, Sofia
Cytata wydawnicza:: Jasińska E., Preweda E.: The use of regression trees to the analysis of real estate market of housing. International Multidisciplinary Scientific GeoConference SGEM, vol. 2, Sofia, 2013
Opis:: Edward Preweda
Housing property can be described using a number of traits, some of which turn out to be difficult to express in numerical form. You can also use parameters which are not subject to explicit quantification. Belong to it selected location or membership of an exclusive building project, or opposed to a specific buyer reluctance of the complex. The attributes relevant to buyers may be disregarded just because of problems with their recognition in shaping market prices. A multitude of real estate tenancy causes difficulties with their comparison. If you make this scaling problem adopted features such analysis may not be sufficient. An attempt to include as many information may be restricted by the form of analysis. The undoubted advantage of the classification tree is the ability to delineate the characteristics of a quantitative (continuous or discrete) on a par with those of a qualitative nature (from the nominal scale after an ordinal). They allow an assessment of the impact of both the characteristics of qualitative, as well as a quantitative variable quantitative, without having to specify an arbitrary numeric values for the variables on the nature of the quality. This option allows you to include attributes such as subdivision, street name. Among the many methods of data analysis, it is worth noting the use of regression task for classification trees, so that the designation of property prices was possible based on the allocation to one of the nodes in the schema that you created earlier. The proposed method allows for the examination of the impact on the predictors of the dependent variable, as well as on the distribution of the existing set of homogeneous groups in terms of price.
Dostawca treści:: Repozytorium Centrum Otwartej Nauki

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Skocz do pozycji: 7.

Tytuł:: Możliwości zastosowania data mining w sektorze opieki zdrowotnej
Autorzy:: Sala, Karolina
Selwon, Adam
Tematy:: health care
data mining
data analysis
clustering
regression
prevention of errors; Pokaż więcej
Wydawca:: Instytut Studiów Międzynarodowych i Edukacji Humanum
Powiązania:: https://bibliotekanauki.pl/articles/2148180.pdf Link otwiera się w nowym oknie
Opis:: Health care is a dynamically developing sector of the economy, which generates a large amount of useful data about health of the inhabitants of the country and individual regions. These include information on the incidence of selected diseases, data on medical facilities and employees, as well as expenditure on health care. in recent years, many scientific articles about data mining in health care have been published. in this article, presented a review of the literature on health analytics and data mining techniques used in this field. based on the information gathered, the current development in this field and possibilities that can be used in the future are indicated.
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 8.

Tytuł:: Predicting students performance in giant slalom
Autorzy:: Mujanović, Edin
Atiković, Almir
Nožinović Mujanović,, Amra
Nurković, Nermin
Tematy:: impact
race
regression analysis
specific motor knowledge of alpine skiing; Pokaż więcej
Wydawca:: Uniwersytet Szczeciński. Wydawnictwo Naukowe Uniwersytetu Szczecińskiego
Powiązania:: https://bibliotekanauki.pl/articles/1054872.pdf Link otwiera się w nowym oknie
Opis:: The aim of this research is to determine the impact of specific motor knowledge of alpine skiing on success in giant slalom race of students. On a sample of 18 students of the Faculty of Physical Education and Sport there has been used set of four variables of specific motor knowledge of alpine skiing, as predictor variables, to determine the impact on the criterion variable modified giant slalom race. It was found that the variables dynamic long radius turns and skiing with the changes of rhythm and tempo together have a greatest predictor validity, at statistically significant level of p = 0.01, and that they are critical for success in modified giant slalom race of students. It can be concluded that the impact on the result in the modified giant slalom race for students have the level of mastering of advanced elements of ski technique, which at this level of knowledge is crucial in giant slalom competition. The results of this study may be of importance in creating programs for different levels of mastering of skiing techniques in both advanced ski school and some stages of competitive skiing, which is of great importance for the result in giant slalom and skiing in general.
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 9.

Tytuł:: Earnings management model for Visegrad Group as an immanent part of creative accounting
Autorzy:: Kováčová, Mária
Hrosova, Lenka
Durana, Pavol
Horak, Jakub
Tematy:: creative accounting
central Europe countries
model of creative accounting
regression analysis; Pokaż więcej
Wydawca:: Instytut Badań Gospodarczych
Powiązania:: https://bibliotekanauki.pl/articles/19322663.pdf Link otwiera się w nowym oknie
Opis:: Research background: Creative accounting practices do not frequently violate the law and are not considered illegal; however, accounting managers may exploit legal ambiguities to portray the company's financial standing in accordance with management preferences. Therefore, the analysis is focused on the detection of earnings management in companies operating in the Visegrad Group, which represents one of the most commonly used techniques for revealing creative accounting. Purpose of the article: The aim of the presented study is to reveal the presence of creative accounting through the detection of earnings management in the countries of the Visegrad Group and, based on the detected results, to propose a regression model of earnings management in the Visegrad Group. Methods: To reveal the use of creative accounting in the Visegrad Group, ten selected models of earnings management were applied during the period 2016-2020 to a set of 8,134 companies. The Mann-Whitney test and multiple linear regression were used to verify the existence of earnings management. These findings served as the basis for the creation of the linear regression model of earnings management in the Visegrad Group. Findings & value-added: The presence of earnings management was best captured by the Hribar and Collins model in companies operating in the Visegrad Group in the period 2016-2020. The findings also confirmed that positive discretionary accruals acquired higher values over the entire period when compared to negative discretionary accruals, confirming that companies in the surveyed group manage their profits primarily by increasing them. Therefore, we created a regression model, that can serve as a unique basis and is capable of revealing the use of earnings management in the Visegrad Group, as until now nothing like this has been implemented in these countries. In conclusion, this study offers insights for academicians and researchers on creative accounting in the selected period. Lastly, the study contributes to the existing theory by conducting new research on the earnings management determinants of the countries studied.
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 10.

Tytuł:: Mapping of Cornfield Soil Salinity in Arid and Semi-Arid Regions
Autorzy:: Smanov, Zhassulan Maratuly
Laiskhanov, Shakhislam Uzakbaevich
Poshanov, Maksat Nurbaiuly
Abikbayev, Yerzhan Rakhimkeldievich
Duisekov, Saken Nurzhanuly
Tulegenov, Yerdaulet Askarbekovich
Tematy:: soil salinization
satellite image
vegetation indice
regression analysis
mapping of soil salinity; Pokaż więcej
Wydawca:: Polskie Towarzystwo Inżynierii Ekologicznej
Powiązania:: https://bibliotekanauki.pl/articles/2202333.pdf Link otwiera się w nowym oknie
Opis:: Soil salinization and their annual increase in volume is not only one of the main problems of arid and subarid regions, but it is becoming global. Studying the problem of salinization and its spatial distribution using operational remote sensing methods is very important for Kazakhstan, where almost half of the agricultural land is exposed to salinization, but it is at the initial stage of development in the use of space technologies of research. The main goal of this study is to conduct a field study of soil salinity in corn fields, one of the most common crops in the arid region of the country, located in the Shaulder irrigated massif, using space-based methods, and to create algorithms for compiling a salinity map based on remote sensing data. For this purpose, firstly, using Sentinel-2 images, the method of separating corn from other dominant crops in the region by creating NDVI dynamics covering all phases of growth of agricultural crops was shown. Then, a regression analysis was performed on soil and vegetation indices calculated using satellite images and data on soil salinity obtained through field studies. As a result of the analysis, the main predictor of deciphering salinized soils was determined. By dividing the predictive image into quartiles, contours of salinized soils were determined and a soil salinity map was created. With the help of the soil salinity map, it was found that, non-saline soils – 2912.2 ha; slightly saline soils – 3288.4 ha, moderately saline soils – 2615.2 ha, and strongly saline soils – 1284.3 ha in the study area.
Dostawca treści:: Biblioteka Nauki

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