Airport Data Analysis Using Common Statistical Methods and Knowledge-Based Techniques

2019 ◽  
pp. 229-253
Author(s):  
Athanasios T. Ballis ◽  
John A. Paravantis
Keyword(s):  
Data Analysis ◽  
Statistical Methods ◽  
Knowledge Based

An Introduction to Statistical Methods and Data Analysis

Technometrics ◽  
1994 ◽  
Vol 36 (3) ◽  
pp. 332
Author(s):  
Eric R. Ziegel ◽  
Lyman Ott
Keyword(s):  
Data Analysis ◽  
Statistical Methods

scholarly journals The Delimitation of Bipolar Metropolitan Area Within the Kujawsko-Pomorskie Region

2014 ◽  
Vol 5 (2) ◽  
pp. 101-122 ◽  
Author(s):  
Mirosław Biczkowski ◽  
Iwona Müller-Frączek ◽  
Joanna Muszyńska ◽  
Michał Bernard Pietrzak ◽  
Justyna Wilk
Keyword(s):  
Data Analysis ◽  
Regional Development ◽  
Metropolitan Area ◽  
Multivariate Data Analysis ◽  
Metropolitan Areas ◽  
Linear Arrangement ◽  
Knowledge Based ◽  
Knowledge Based Economy ◽  
Development Levels ◽  
Dual Core

The objective of the article was to re-define the bipolar metropolitan area within the area of the Kujawsko-Pomorskie region (NUTS 2). Concentration of metropolitan features, as well as socio-economic situations of its communes (NUTS 5) in 2011, and also the dynamics of communes’ development in the period 2009-2011 were considered in the procedure of delimitation. Bydgoszcz and Toruń, as the economically strongest cities in the region, were established as the dual core of the bipolar metropolitan area. It was assumed that the determined metropolitan area would cover the best developed and the fastest developing communes which met the following criteria of a metropolitan area: neighbourhood, continuity, compactness, maximum distance and population. The development levels of the communes were determined with the use of synthetic measure. Its values were calculated considering the economic (e.g. the amount of income) and also social (e.g. unemployment) aspects of regional development, as well as features typical of metropolitan areas, such as: well-developed sectors of R&D, knowledge-based economy and serving superior services. In the research, linear arrangement methods classifying as taxonomic tools of multivariate data analysis was applied. The metropolitan area resulting from the research (BipOM) slightly differs from the Bydgoszcz-Toruń Metropolitan Area (B-TOM) which was formally appointed in 2005 and composed all of the communes located within the area of the Bydgoski and Toruński districts (NUTS 4). Chełmża and Koronowo, as the less developed communes of the districts, were excluded from the new metropolitan area, while the communes of Ciechocinek, Nakło and Unisław, belonging to the neighbouring districts of the region, were included in the BipOM due to their significant level of regional development and its dynamics. Furthermore the Inowrocław district (bordered on the BipOM) was identified as the prospective candidate for the BipOM, due to the fact that its communes demonstrate a high potential for regional development.

scholarly journals Epistemic Matrices In The Construction Of Knowledge On Learning in Organizations

2020 ◽  
Vol 21 (3) ◽  
pp. 255-281
Author(s):  
Daniela Giareta Durante ◽  
Antonio Carlos Coelho
Keyword(s):  
Data Analysis ◽  
Qualitative Data ◽  
Graduate Programs ◽  
Analysis Software ◽  
Closed Curves ◽  
Construction Of Knowledge ◽  
Knowledge Based ◽  
The Creation ◽  
Qualitative Data Analysis Software ◽  
Sociological Approaches

Our critical epistemic review examines how researchers deal with the creation of knowledge regarding learning in organizations from the standpoint of cognitive interests. We adopted the epistemic matrices’ analytical model elaborated by Paes de Paula (2016), who handles the creation of knowledge based on cognitive interests and epistemic reconstruction, as an alternative to the paradigms of Burrel and Morgan (1979). The object of analysis were dissertations defended in Brazilian stricto sensu graduate programs in Administration. The identification of cognitive interests in the dissertations was based on sociological approaches classified by the circle of epistemic matrices, which encompasses pure sociological approaches and sets of overlapping closed curves, forming hybrid sociological approaches. The latent and clear content of sociological approaches were collected and analyzed using the qualitative data analysis software Atlas.ti 7. We conclude that the technical and practical interests guide the creation of knowledge regarding learning in organizations – putting aside the emancipatory interest in our discussions. We also conclude that, in order to make contributions for the advancement of knowledge, our study must go beyond the aggregation of cognitive interests; it is necessary to investigate the postulates of sociological approaches to which the interests are connected.

scholarly journals Distinguishing different modes of growth using single-cell data

eLife ◽  
2021 ◽  
Vol 10 ◽  
Author(s):  
Prathitha Kar ◽  
Sriram Tiruvadi-Krishnan ◽  
Jaana Männik ◽  
Jaan Männik ◽  
Ariel Amir
Keyword(s):  
Data Analysis ◽  
Single Cell ◽  
Statistical Methods ◽  
Synthetic Data ◽  
Cellular Growth ◽  
Biological Mechanisms ◽  
E Coli ◽  
High Throughput Data ◽  
Consistent Method ◽  
Cell Data

Collection of high-throughput data has become prevalent in biology. Large datasets allow the use of statistical constructs such as binning and linear regression to quantify relationships between variables and hypothesize underlying biological mechanisms based on it. We discuss several such examples in relation to single-cell data and cellular growth. In particular, we show instances where what appears to be ordinary use of these statistical methods leads to incorrect conclusions such as growth being non-exponential as opposed to exponential and vice versa. We propose that the data analysis and its interpretation should be done in the context of a generative model, if possible. In this way, the statistical methods can be validated either analytically or against synthetic data generated via the use of the model, leading to a consistent method for inferring biological mechanisms from data. On applying the validated methods of data analysis to infer cellular growth on our experimental data, we find the growth of length in E. coli to be non-exponential. Our analysis shows that in the later stages of the cell cycle the growth rate is faster than exponential.

scholarly journals Zmiany wielkości produkcji wieprzowiny i jej struktury w Unii Europejskiej ze szczególnym uwzględnieniem pozycji krajów przyjętych po 2004 r.

2017 ◽  
Vol 17(32) (2) ◽  
pp. 166-175
Author(s):  
Anna Olszańska
Keyword(s):  
European Union ◽  
Data Analysis ◽  
Statistical Methods ◽  
General Trend ◽  
Downward Trend ◽  
The European Union ◽  
Agricultural Producers ◽  
Pork Production ◽  
Production Growth ◽  
The Eu

The so-called "big enlargement" of the European Union in 2004 triggered many changes in the functioning of individual agricultural markets. They concerned agricultural producers, processors and distributors from new but also old members of the EU. The aim of the study is to analyze changes in volume and structure in pig production in EU with particular focus on changes in the position of countries which joined the EU after 2004. The analysis covered the years 2005-2016. Statistical materials from Eurostat database were used. The basic statistical methods of data analysis were used in the study. In the analyzed years, with the general trend of pork production growth in the EU, there have been significant changes in its size in individual countries. There has been a significant increase in production in so-called old EU countries. The main beneficiaries of the in the pork market in the EU area were livestock producers and processors from Germany and Spain. In the countries which joined the EU after 2004, there has generally been a downward trend in volume of production, with the largest declines in most countries observed in 2009.

scholarly journals Analisis Peluang terhadap Penilaian Kinerja Pegawai Menggunakan Metode Regresi Linier Berganda dengan SPSS

2021 ◽  
Vol 20 (2) ◽  
pp. 69
Author(s):  
Billy Nugraha ◽  
Wahyudin Wahyudin ◽  
Fahriza Nurul Azizah
Keyword(s):  
Data Analysis ◽  
Linear Regression ◽  
Human Resources ◽  
Multiple Linear Regression ◽  
Human Resource Development ◽  
Human Resource ◽  
Statistical Methods ◽  
Sampling Technique ◽  
Significance Testing ◽  
Independent Variables

<p class="Abstrak">Research on human resource development have been carried out. With the aim of can be used as parameters to create the development of quality human resources. This research aims to know the influence of opportunities on the assessment of the performance of employees. Opportunities under study is divided into three indicators, namely the environment, the rules and colleagues. Sampling technique in this study using a sampling of saturated. The technique of data analysis was conducted gradually, starting from the editing, coding, scoring and tabulation. In addition, using a likert scale developed by Ransis Likert. While for the development of research using statistical methods, it is necessary to qualify the classical assumption test before the test is conducted multiple linear regression. It aims to determine how much significance of significance testing. The results from the hypothesis t, there is on the value t<sub>count</sub> for the partial (sequential) starting from X<sub>1</sub> = 2,639, X<sub>2</sub> = 3,379 and X<sub>3</sub> = 2,210. In addition, the results of the hypothesis F, contained in the value of F<sub>count</sub> simultaneously (together) was 12,597. While the value of R Square (R<sup>2</sup>) of 0,282, if then the result of 28.2%. It can be concluded from the three independent variables affect the dependent variable by 28,2%.</p>

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