scholarly journals The Data-Driven Pattern for Healthy Behaviors of Car Drivers Based on Daily Records of Traffic Count Data From 2018 To 2019 Near Airports. A Functional Data Analysis

2020 ◽  
Author(s):  
Mohammad Fayaz ◽  
Alireza Abadi ◽  
Soheila Khodakarim ◽  
Mohammadreza Hoseini ◽  
Alireza Razzaghi
Keyword(s):  
Data Analysis ◽  
Functional Data Analysis ◽  
Count Data ◽  
Functional Data ◽  
Data Driven ◽  
Time Varying ◽  
Traffic Demand ◽  
The Road ◽  
Hourly Data ◽  
Traffic Count

The road traffic injuries risk factors such as driving offenses and average speed are concerns for health organizations to reduce the number of injuries. Without any comprehensive view of each road, one cannot decide about the effective policy. In this manner, the data-driven policy will help to improve and assess the decisions. The count data near the road of two airports is surveyed for investigating the time-varying speed zones. The descriptive statistics, ANOVA, and functional data analysis were used. The hourly data of traffic counts for four different locations at the entrance of the two airports, international and domestics, were collected for one the year 2018 to 2019.The hourly pattern of driving offenses for each road was assessed and the to and from airport roads had different peaks (<0.05). The hour, weekdays, type of airport, direction and their interactions were statistically significant (<0.05) for the chance of driving offenses. The speed average during the day was statistically different (<0.5) by the number of different types of vehicles. The traffic count data is a great resource for decision making in safe driving subjects such as driving offenses. With functional data analysis, we can analyze them to get the most of the characteristics of this data. The airports are public places with high traffic demand in all countries that yields the different pattern of traffic transportation, therefore we extract the factors that affect the driving offenses. Finally, we conclude that conducting a time-varying speed zone near the airports seems vital.

scholarly journals Data-driven kNN estimation in nonparametric functional data analysis

2017 ◽  
Vol 153 ◽  
pp. 176-188 ◽  
Author(s):  
Lydia-Zaitri Kara ◽  
Ali Laksaci ◽  
Mustapha Rachdi ◽  
Philippe Vieu
Keyword(s):  
Data Analysis ◽  
Functional Data Analysis ◽  
Functional Data ◽  
Data Driven

scholarly journals Book Reviews

2016 ◽  
Vol 28 (1) ◽  
Author(s):  
Ernst Stadlober ◽  
Herwig Friedl ◽  
Helga Wagner ◽  
Franz Konecny ◽  
Wilfried Grossmann ◽  
...  
Keyword(s):  
Probability Theory ◽  
Regression Analysis ◽  
Data Analysis ◽  
Functional Data Analysis ◽  
Count Data ◽  
Functional Data ◽  
Econometric Analysis ◽  
Research Tool ◽  
Business Analysis

Die Industriestatistik Europas im Umbruch. (M. Müller)Statistik. DerWeg zur Datenanalyse. (L. Fahrmeir, R. Künstler, I. Pigeot, G. Tutz)Einführung in die Stochastik. (R.K.W. Viertl)Probability Theory III. (Y.V. Prokhorov, A.N. Shiryaev)Functional Data Analysis. (J.O. Ramsay, B.W. Silverman)Business Analysis Using Regression. (D.P. Foster, R.A. Stine, R.P. Waterman)Applied Regression Analysis. A Research Tool. (J.O Rawlings , S.G. Pantula, D.A.Dickey )Econometric Analysis of Count Data. (R. Winkelmann)MartingaleMethodes in FinancialModelling. Theory and Applications. (M.Musiela,M. Rutkowski)Conference on Statistical Science Honouring the Bicentennial of Stefano Franscini’sBirth. (C.A.G. Malaguerra, St. Morgenthaler, E.M.D. Ronchetti)

scholarly journals Research on the Two-Way Time-Varying Relationship between Foreign Direct Investment and Financial Development Based on Functional Data Analysis

2021 ◽  
Vol 13 (11) ◽  
pp. 6033
Author(s):  
Deqing Wang ◽  
Qian Huang ◽  
Tianzhi Ye ◽  
Sihua Tian
Keyword(s):  
Foreign Direct Investment ◽  
Data Analysis ◽  
Financial Development ◽  
Functional Data Analysis ◽  
Functional Data ◽  
Direct Investment ◽  
Mutual Influence ◽  
Time Varying ◽  
Promoting Effect ◽  
Functional Linear Regression

Studying how to achieve mutual promotion between financial development and foreign direct investment inflow contributes to the Chinese government’s work of formulating rational financial policy and FDI policy from a holistic point of view and promoting the healthy and ordered growth of the entire economy in China. Based on the provincial panel data from 2007 to 2018, this paper constructs comprehensive evaluation indexes for financial development and introduces functional data analysis (FDA) methods, extracts functional β-convergence from functional linear regression to analyze the two-way time-varying relationship and convergence and divergence between financial development and FDI in the country and the eastern, central, and western regions. The empirical results show that the mutual influence of FDI and financial development presents regional differences. In general, FDI has a promoting effect on financial development, while financial development has an inhibitory effect on FDI, and there is basically no convergence effect. Based on these conclusions, if the governments of various regions in China want to reduce the differences in financial development, promote coordinated financial development, and promote sustainable financial development, they should actively implement financial development policies, optimize the financial environment, and implement differentiated foreign investment policies to promote regional financial development.

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