scholarly journals Publisher Correction to: Journal of Engineering and Applied Science, vol 68

2021 ◽  
Vol 68 (1) ◽  
Author(s):  
Keyword(s):  
1978 ◽  
Vol 23 (3) ◽  
pp. 136-138
Author(s):  
ALAN S. LEVY

CFA Magazine ◽  
2007 ◽  
Vol 18 (2) ◽  
pp. 50-53
Author(s):  
Susan Trammell
Keyword(s):  

2000 ◽  
Vol 41 (2) ◽  
pp. 55-59 ◽  
Author(s):  
J. Fettig ◽  
M. Miethe ◽  
K. Rathke

For ten years, the Division of Applied Science, University of Paderborn, has gained experience with a four-year undergraduate environmental engineering programme. Up to now, more than 400 graduates have successfully entered a professional career, proving that the educational concept is accepted by the employment sector, e.g. consultants, industry and authorities. Important aspects of this concept are the combination of civil engineering - as a core engineering field - with natural environmental sciences in the basic studies, the coverage of all environmental compartments in the main studies before specialisation in one area, and a strong practical component of the curriculum both inside and outside the university.


Modelling ◽  
2021 ◽  
Vol 2 (1) ◽  
pp. 78-104
Author(s):  
Vasili B. V. Nagarjuna ◽  
R. Vishnu Vardhan ◽  
Christophe Chesneau

Every day, new data must be analysed as well as possible in all areas of applied science, which requires the development of attractive statistical models, that is to say adapted to the context, easy to use and efficient. In this article, we innovate in this direction by proposing a new statistical model based on the functionalities of the sinusoidal transformation and power Lomax distribution. We thus introduce a new three-parameter survival distribution called sine power Lomax distribution. In a first approach, we present it theoretically and provide some of its significant properties. Then the practicality, utility and flexibility of the sine power Lomax model are demonstrated through a comprehensive simulation study, and the analysis of nine real datasets mainly from medicine and engineering. Based on relevant goodness of fit criteria, it is shown that the sine power Lomax model has a better fit to some of the existing Lomax-like distributions.


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