In the presence of massive data coming with high heterogeneity we need to change our statistical thinking and statistical education in order to adapt both - classical statistics and software developments that address new challenges. Significant developments include open data, big data, data visualisation, and they are changing the nature of the evidence that is available, the ways in which it is presented and the skills needed for its interpretation. The amount of information is not the most important issue – the real challenge is the combination of the amount and the complexity of data. Moreover, a need arises to know how uncertain situations should be dealt with and what decisions should be taken when information is insufficient (which can also be observed for large datasets). In the paper we discuss the idea of computational statistics as a new approach to statistical teaching and we try to answer a question: how we can best prepare the next generation of statisticians.
Marin Fotache, Gabriela Mesnita, Florin Dumitriu and Georgiana Olaru
Information Systems (IS) analysts and designers have been key members in software development teams. From waterfall to Rational Unified Process, from UML to agile development, IS modelers have faced many trends and buzzwords. Even if the topic of models and modeling tools in software development is important, there are no many detailed studies to identify for what the developers, customers and managers decide to use the modeling and specific tools. Despite the popularity of the subject, studies showing what tools the IS modelers prefer are scarce, and quasi-non-existent, when talking about Romanian market. As Romania is an important IT outsourcing market, this paper investigated what methods and tools Romanian IS analysts and designers apply. In this context, the starting question of our research focuses on the preference of the developers to choose between agile or non-agile methods in IT projects. As a result, the research questions targeted the main drivers in choosing specific methods and tools for IT projects deployed in Romanian companies. Also, one of the main objectives of this paper was to approach the relationship between the methodologies (agile or non-agile), diagrams and other tools (we refer in our study to the CASE features) with other variables/metrics of the system/software development project. The observational study was conducted based on a survey filled by IS modelers in Romanian IT companies. The data collected were processed and analyzed using Exploratory Data Analysis. The platform for data visualization and analysis was R.
Subject and purpose of work: The study attempts to examine the trade unfairness and transboundary bottlenecks between Bangladesh and India with a view to prosper a balanced trade and sustained water cooperation.
Materials and methods: The study is based on secondary data and statistical information. Mixed research methods such as qualitative, quantitative and data visualization techniques are adopted in this study to assess the political economy of river basin management, loss and damage assessment and trade situation assessment.
Results: Due to upstream intervention, the North-Western region of Bangladesh has lost 4254218 metric tons of rice production during 2006-2014 cropping years which value is $1036 million. During the same period, the trade deficit of Bangladesh stood at $5.58 billion with India due to the diverse tariff and non-tariff barriers which triggers tension between this close neighbor.
Conclusions: The trade and water co-operation should be extended among the South Asian countries including India and Bangladesh without delay to obtain the maximum benefit and economic prosperity.
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