Welcome Message from the President of Applied Science University - Prof. Mahfuz Judeh

2018 ◽  
Keyword(s):  
Applied Science

Environmental Psychology as an Applied Science

1978 ◽  
Vol 23 (3) ◽  
pp. 136-138
Author(s):  
ALAN S. LEVY
Keyword(s):  
Environmental Psychology ◽  
Applied Science

Applied Science

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

Four-year undergraduate course in environmental engineering in Germany

2000 ◽  
Vol 41 (2) ◽  
pp. 55-59 ◽  
Author(s):  
J. Fettig ◽  
M. Miethe ◽  
K. Rathke
Keyword(s):  
Applied Science ◽  
Environmental Engineering ◽  
Environmental Sciences ◽  
Professional Career ◽  
Employment Sector ◽  
Educational Concept ◽  
Basic Studies ◽  
The University ◽  
Engineering Programme ◽  
Environmental Compartments

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.

scholarly journals On the Accuracy of the Sine Power Lomax Model for Data Fitting

Modelling ◽  
2021 ◽  
Vol 2 (1) ◽  
pp. 78-104
Author(s):  
Vasili B. V. Nagarjuna ◽  
R. Vishnu Vardhan ◽  
Christophe Chesneau
Keyword(s):  
Statistical Model ◽  
Simulation Study ◽  
Statistical Models ◽  
Goodness Of Fit ◽  
Data Fitting ◽  
Applied Science ◽  
Survival Distribution ◽  
Lomax Distribution ◽  
Model Based

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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