“…Statistical Package for the Social Sciences version 20 was used for data entry and analysis. …”
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“…Statistical Package for Social Sciences (SPSS) version 26 was used for data analysis, and results were presented using simple descriptive statistics. …”
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“…Data were extracted using a structured, pre-tested checklist, entered into EpiData, and exported to Statistical Software for the Social Sciences (SPSS) version 23 (IBM Corp., Armonk, NY), and descriptive statistics were performed. …”
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“…The main medical, psychological and social sciences databases (PubMed, PsycINFO, Medline) were searched to identify interventions aimed at improving or treating mental health problems in conflict-affected children in LMICs. …”
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“…Markov decision process (MDP) models are widely used for modeling sequential decision-making problems that arise in engineering, economics, computer science, and the social sciences.  Many real-world problems modeled by MDPs have huge state and/or action spaces, giving an opening to the curse of dimensionality and so making practical solution of the resulting models intractable.  …”
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“…This book is written mainly for the graduate students and researchers in statistics and social sciences, among other applied statistics research areas. …”
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“…Statistical Methods for Forecasting serves as an outstanding textbook for advanced undergraduate and graduate courses in statistics, business, engineering, and the social sciences, as well as a working reference for professionals in business, industry, and government.…”
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“…CLUVA was unique in that it combined: a top-down perspective of climate change modeling with a bottom-up perspective of vulnerability assessment; quantitative approaches from engineering sciences and qualitative approaches of the social sciences; a novel multi-risk modeling methodology; strategic approaches to urban and green infrastructure planning with neighborhood perspectives of adaptation. …”
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“…The book provides a narrative of how R can be useful for addressing problems common to the analysis of public administration, public policy, and political science data specifically, in addition to the social sciences more broadly. While the book uses data drawn from political science, public administration, and policy analyses, it is written so that students and researchers in other fields should find it accessible and useful as well. …”
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“…Areas of application in these workshops include astronomy and astrophysics, chemistry, communications theory, cosmology, climate studies, earth science, fluid mechanics, genetics, geophysics, machine learning, materials science, medical imaging, nanoscience, source separation, thermodynamics (equilibrium and non-equilibrium), particle physics, plasma physics, quantum mechanics, robotics, and the social sciences. Bayesian computational techniques such as Markov chain Monte Carlo sampling are also regular topics, as are approximate inferential methods. …”
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“…. … The intended audience for this book includes students and researchers working on nonlinear problems in physics, meteorology, oceanography, biology, chemistry, and the social sciences.” (Carlo Bianca, Mathematical Reviews, December, 2014) “This is a clearly written book on numerous types of phase transitions taken in a broad sense when a dynamical dissipative system transforms from one physical state into another. … The book is a very useful literature not only for the professionals in the field of dynamic systems and phase transitions but also for graduate students due to its interdisciplinary coverage and state-of-the-art level.” …”
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“…The massive data revolutionSummaryThe central argument of the work of Viktor Mayer-Schönberger and Kenneth Cukier is of the greatest importance for human knowledge in general, and for the social sciences in particular: namely, that the emergence and use of massive data is about to provoke (and in fact it does already, in specific areas of human knowledge) "a revolution that will transform how we live, work, and think".Mayer-Schönberger, V. y Cukier, K. (2013). …”
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