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Wyszukujesz frazę "data analysis methods" wg kryterium: Temat


Wyświetlanie 1-3 z 3
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
    Wyświetlanie 1-3 z 3

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