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Wyświetlanie 1-10 z 35
Tytuł:
Metody analizy danych w socjologicznych badaniach rozwodów
Data Analysis Methods in Sociological Studies of Divorces
Autorzy:
Rydzewski, Paweł
Powiązania:
https://bibliotekanauki.pl/articles/1834610.pdf
Data publikacji:
2020-05-14
Wydawca:
Katolicki Uniwersytet Lubelski Jana Pawła II. Towarzystwo Naukowe KUL
Tematy:
rozwód
metody analizy danych
divorce
data analysis methods
Opis:
The aim of the article is to give an answer to the question: What data analysis methods are most often used in field studies of divorces with the participation of divorced persons and/or members of their families? The source basis was constituted by a selection of sociological articles on divorces published in renowned American academic journals in 1980- 2000. In sociological studies of divorces multiple regression analysis is decidedly most often used – both as an autonomous method of analysis and together with other methods. Also logistic regression and probit models are relatively frequently used, whereas experience analysis is used more rarely. Correlation analysis is seldom used; and canonical correlation, path analysis, factor analysis, the LISREL model and cluster analysis are used only sporadically.
Źródło:
Roczniki Nauk Społecznych; 2010, 38; 275-298
0137-4176
Pojawia się w:
Roczniki Nauk Społecznych
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Non-destructive methods into health monitoring of tall type buildings operating into hazardous environment
Autorzy:
Saidov, K.
Szpytko, J.
Powiązania:
https://bibliotekanauki.pl/articles/241693.pdf
Data publikacji:
2014
Wydawca:
Instytut Techniczny Wojsk Lotniczych
Tematy:
structural health monitoring
smart wireless sensors
data analysis methods
Opis:
The paper is focusing on selected problems of health monitoring of tall type buildings. The actual problem in structural health monitoring (SHM) is to find the damages and its location by performing some statistical pattern recognition based on the measured data termed as feature extraction. The damage caused by environmental loads should be repaired; otherwise, it will expand with time and might lead to complete system failure. Dynamic parameters, such as velocity, acceleration and displacement, play a significant role in determining the structure dynamics. This paper is focusing on smart wireless sensors application into health monitoring systems of tall type buildings operating into hazardous environment and selected methods for data analysis obtained from the monitoring system. Smart sensors can locally process measured data and transmit only the significant information via wireless communication. As a network, wireless sensors extend the capability. Significant future developments of smart wireless sensors technology in tall type buildings in hazardous environment come by way of multi-disciplinary research efforts encompassing fields such as data analysing, signal processing, structural dynamics, motion and environmental sensing hardware, computational hardware, smart materials, data telemetry and statistical pattern recognition, as well as other fields yet to be defined. Specification issues that require automation of the decision making process in the evaluation of the technical state of the tall type structure have been also discussed.
Źródło:
Journal of KONES; 2014, 21, 4; 425-432
1231-4005
2354-0133
Pojawia się w:
Journal of KONES
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Selected methods of project and data analysis
Autorzy:
Gembalska-Kwiecień, Anna
Powiązania:
https://bibliotekanauki.pl/articles/27313459.pdf
Data publikacji:
2022
Wydawca:
Politechnika Śląska. Wydawnictwo Politechniki Śląskiej
Tematy:
company management
data analysis methods
project risk
zarządzanie firmą
metody analizy danych
ryzyko projektowe
Opis:
Purpose: Presentation of selected methods of project and data analysis - describes how data on ongoing projects should be collected, so that it can be used later, by applying the appropriate methodology. Design/methodology/approach: Literature research of the subject was carried out. Finding: Having a methodology for data collection leads, in the long term, to the implementation of a system that allows the use of this methodology. The system should provide information to help make better decisions, reducing or eliminating the risk of project failure. Practical implications: Development of a methodology of data collection and analysis on this basis. Originality/value: The implemented projects are comparable with each other and, on this basis, it can be argued that identifying the risks that have occurred in the past, during the implementation of various stages of projects, can contribute to more effective risk management during the implementation of current and future projects.
Źródło:
Zeszyty Naukowe. Organizacja i Zarządzanie / Politechnika Śląska; 2022, 161; 7--22
1641-3466
Pojawia się w:
Zeszyty Naukowe. Organizacja i Zarządzanie / Politechnika Śląska
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Non-linear analysis of air pressure fluctuations during bubble departure synchronisation
Autorzy:
Dzienis, Paweł
Mosdorf, Romuald
Wyszkowski, Tomasz
Rafałko, Gabriela
Powiązania:
https://bibliotekanauki.pl/articles/386823.pdf
Data publikacji:
2019
Wydawca:
Politechnika Białostocka. Oficyna Wydawnicza Politechniki Białostockiej
Tematy:
bubble departure
alternative bubble departures
nonlinear methods of data analysis
Opis:
In the recent paper, non-linear methods of data analysis were used to study bubble departure synchronisation. In the experiment, bubbles were generated in engine oils from two neighbouring brass nozzles (with an inner diameter of 1 mm). During the experiment, the time series of air pressure oscillations in the air supply system and voltage changes on phototransistor were recorded. The analysis of bubble departure synchronisation was performed using a correlation coefficient. The following methods of non-linear data analysis are considered. Fast Fourier Transformation, autocorrelation, attractor reconstruction, correlation dimension, largest Lyapunov exponent and recurrence plot analysis were used to examine the correlation between bubbles behaviour and character of pressure fluctuations. Non-linear analysis of bubble departure synchronisation revealed that the way of bubble departures from two neighbouring nozzles does not depend simply on the character of pressure fluctuations in the nozzle air supply systems. The chaotic changes of the air pressure oscillations do not always determine the chaotic bubble departures.
Źródło:
Acta Mechanica et Automatica; 2019, 13, 3; 158-165
1898-4088
2300-5319
Pojawia się w:
Acta Mechanica et Automatica
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Visual data analysis with computational intelligence methods
Autorzy:
Kruse, R.
Steinbrecher, M.
Powiązania:
https://bibliotekanauki.pl/articles/200693.pdf
Data publikacji:
2010
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
visual data analysis
computational intelligence methods
Opis:
Visual data analysis is an appealing and increasing field of application. We present two related visual analysis approaches that allow for the visualization of graphical model parameters and time-dependent association rules. When the graphical model is defined over purely nominal attributes, its local structure can be interpreted as an association rule. Such association rules comprise one of the most prominent and wide-spread analysis techniques for pattern detection, however, there are only few visualization methods. We introduce an alternative visual representation that also incorporates time since patterns are likely to change over time when the underlying data was collected from real-world processes. We apply the technique to both an artificial and a complex real-life dataset and show that the combined automatic and visual approach gives more and faster insight into the data than a fully-automatic approach only. Thus, our proposed method is capable of reducing considerably the analysis time.
Źródło:
Bulletin of the Polish Academy of Sciences. Technical Sciences; 2010, 58, 3; 393-401
0239-7528
Pojawia się w:
Bulletin of the Polish Academy of Sciences. Technical Sciences
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Automated Production Line Reliability Analysis of the Crankshaft Manufacturing Process
Autorzy:
Enzi, Abass
Khan, Sardar Asif
Powiązania:
https://bibliotekanauki.pl/articles/2022400.pdf
Data publikacji:
2022
Wydawca:
Stowarzyszenie Inżynierów i Techników Mechaników Polskich
Tematy:
crankshaft production line
failure data analysis
distribution methods
reliability analysis
Opis:
The producer focuses on producing parts that match the customer’s requirements during manufacturing the automotive engine parts. One of the essential automotive engine parts is a crankshaft used to translate movement from the pistons to the car axle. The crankshaft is a complex shape and difficult to produce accurate dimensions during the machining processes. Many machines are used to create the crankshaft. Therefore, many defects happen during the machining process, reducing reliability and increasing the manufacturing process’s production cost. This paper focuses on analyzing failure data and reliability of the crankshaft production line that occurs during the manufacturing process of one year. The common failure associated with the manufacturing process were ring screw, unbalanced crankshaft, broken drill screw, hub machining error, mains part machining error, and setup error. The paper aimed to determine and analyze the best failure fit between the distribution methods, such as Weibull, normal, lognormal, and exponential. Also, the reliability, hazard rate, surviving quantity, and failure density were calculated to evaluate the current situation and predict the reliability of the production line. Results proved the skewness of the data was positive equal to 3.33; the last months had the highest production failure rate, which is 53.8%, the normal method had a proper distribution of data depending on the Anderson-Darling (adj) values which is 1.367 when it compared with other methods, the normal method had the best fitting result depended on failure percentage, from 1% to 95% of the crankshafts production are expected to fail between 47.2676 and 1149.85 months respectively. The reliability of the production line decreased with manufacturing time increased. To reduce the failure and increase reliability, the maintenance system must be supported, analyze the sources that cause failure and downtime of the production line, continue the employee training system on an ongoing basis, and support the production line with modern technology. All analytical results and suggestions could be valuable to the production line to improve reliability and reduce the manufacturing process’s failure.
Źródło:
Advances in Science and Technology. Research Journal; 2022, 16, 1; 15-27
2299-8624
Pojawia się w:
Advances in Science and Technology. Research Journal
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Metody oceny jakości i analiz zebranych danych w procesie obsługi klienta na przykładzie wybranych organizacji komunikacji miejskiej : wyniki badań 2016 rok
Methods of quality assessment and analysis of data given in customer service process on example of selected urban communication organization : result of research 2016
Autorzy:
Chojnacka, M.
Powiązania:
https://bibliotekanauki.pl/articles/108832.pdf
Data publikacji:
2017
Wydawca:
Uniwersytet Szczeciński. Wydawnictwo Naukowe Uniwersytetu Szczecińskiego
Tematy:
metody pomiaru satysfakcji klienta
komunikacja miejska
metody analiz danych z badań
methods of measuring customers satisfaction
municipal transportation
methods and data analysis techniques
Opis:
W artykule zaprezentowano wyniki badań przeprowadzonych w 2016 roku, dotyczących metod pozyskiwania i opracowania danych odnoszących się do obsługi klienta w transporcie miejskim w Polsce. Na ich podstawie opisano stosowane przez tę grupę respondentów metody pomiaru satysfakcji klienta, częstotliwość stosowania metod w analizie danych i wskazano istotność determinantów gwarantujących uzyskanie właściwych wyników analiz.
This article presents the results of research conducted in 2016 on methods of obtaining and processing data related to customer service in urban transport in Poland. Based on this, the respondent’s method used to measure customer satisfaction, the frequency of methods used in the analysis of data, and the importance of determinants to ensure proper analysis results were described.
Źródło:
Studia Informatica Pomerania; 2017, 43, 1; 27-34
2451-0424
2300-410X
Pojawia się w:
Studia Informatica Pomerania
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Review of methods for data sets with missing values and practical applications
Autorzy:
Korczyński, Adam
Powiązania:
https://bibliotekanauki.pl/articles/433946.pdf
Data publikacji:
2014
Wydawca:
Wydawnictwo Uniwersytetu Ekonomicznego we Wrocławiu
Tematy:
missing data pattern
missing data mechanism
complete-case analysis
available-case analysis
single imputation
likelihood-based methods
multiple imputation
weighting methods
Opis:
The aim of this paper is to revise the traditional methods (complete-case analysis, available-case analysis, single imputation) and current methods (likelihood-based methods, multiple imputation, weighting methods) for handling the problem of missing data and to assess their usefulness in statistical research. The paper provides the terminology and the description of traditional and current methods and algorithms used in the analysis of incomplete data sets. The methods are assessed in terms of the statistical properties of their estimators. An example is provided for the multiple imputation method. The review indicates that current methods outweigh traditional ones in terms of bias reduction, precision and efficiency of the estimation.
Źródło:
Śląski Przegląd Statystyczny; 2014, 12(18); 83-104
1644-6739
Pojawia się w:
Śląski Przegląd Statystyczny
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Wprowadzenie do interaktywnej wizualizacji danych w środowisku R
Introduction to interactive data visualization in R environment
Autorzy:
Wnuk, Agnieszka
Kozak, Marcin
Tartanus, Małgorzata
Powiązania:
https://bibliotekanauki.pl/articles/2198005.pdf
Data publikacji:
2011-03-31
Wydawca:
Instytut Hodowli i Aklimatyzacji Roślin
Tematy:
analiza danych
metody graficzne
wizualizacja
data analysis
graphical methods
visualization
Opis:
Wizualizacja danych jest bardzo skutecznym narzędziem wspomagającym proces analizy danych rolniczych na każdym jej etapie, od zapoznawania się z danymi, poprzez interpretację zjawisk, aż po wnioskowanie. Często pozwala na skuteczne zaobserwowanie struktury danych czy obserwacji odstających lub nietypowych, które w innym wypadku trudno byłoby dostrzec. Można jednak znacznie rozszerzyć jej możliwości poprzez dynamiczny wpływ użytkownika na postać wykresu za pomocą interaktywnej wizualizacji. W tym artykule przedstawiliśmy podstawowe sposoby wykorzystania tego rodzaju wizualizacji, w celu zwiększenia możliwości interpretacyjnych analizowanych danych. W ten sposób chcemy zwrócić uwagę czytelników na bogate możliwości, jakie daje użytkownikowi interaktywna wizualizacja. W pracy wykorzystaliśmy możliwości oferowane przez środowisko R; każdemu przykładowi towarzyszy kod w R, który może zostać użyty przez czytelnika do zapoznania się z przykładem, ale także może zostać wykorzystany w praktyce analizy danych.
Data visualization is a very useful tool supporting analyses of agricultural data at each stage, including data exploration, interpretation, and drawing conclusions. It frequently helps one to observe patterns in data, find outliers or untypical values, which otherwise would be difficult to detect. However, the usefulness of visualization can be greatly improved by the dynamic user’s influence on the graph by interactive visualization. This paper introduces basic possibilities of applying such type of visualization to improve interpretational possibilities in data analysis. In this way we want to direct the readers’ attention to rich opportunities that interactive visualization offers. The R environment is used in the paper; each example includes also the R code, which can be used by the reader to run the example, but can also be used in practical data analysis.
Źródło:
Biuletyn Instytutu Hodowli i Aklimatyzacji Roślin; 2011, 259; 83-92
0373-7837
2657-8913
Pojawia się w:
Biuletyn Instytutu Hodowli i Aklimatyzacji Roślin
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Symulacyjna analiza wpływu liczby i rozmieszczenia luk niesystematycznych na dokładność prognoz
Simulation analysis of influence of number and distribution of unsystematic gaps on the accuracy of forecasts
Autorzy:
Oesterreich, Maciej
Powiązania:
https://bibliotekanauki.pl/articles/425016.pdf
Data publikacji:
2015
Wydawca:
Wydawnictwo Uniwersytetu Ekonomicznego we Wrocławiu
Tematy:
forecasting of missing data
simulation methods
analysis of gaps distribution
Opis:
In this paper there was conducted a statistical analysis of the impact of the distribution of unsystematic gaps on the accouracy of inter- and extrapolative forecasts in the seasonal time series. In the analysis, as variable, there was used the average period of stay of tourists in accommodation establishments in the West Pomeranian Voivodeship in the years 2008-2013. In calculations there were used simulation methods to generate ten thousand sets of gaps for the three variants, differed in the number of gaps. For all the set and variants of gaps, there were estimated time series models with exponential trend and relatively-fixed seasonality. In the next step there were built inter- and extrapolative forecasts and calculated their relative errors (MAPE). In the analysis there were used R program and Statistica 10.
Źródło:
Econometrics. Ekonometria. Advances in Applied Data Analytics; 2015, 2 (48); 78-88
1507-3866
Pojawia się w:
Econometrics. Ekonometria. Advances in Applied Data Analytics
Dostawca treści:
Biblioteka Nauki
Artykuł
Wyświetlanie 1-10 z 35

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