Quantitative research.
概要
作品: | 94 作品在 63 項出版品 63 種語言 |
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書目資訊
Beginning interpretative inquiry : = a step-by-step approach to research and evaluation /
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Data science & big data analytics = discovering, analyzig, visualizing, and presenting data /
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Quantitative value = a practitioner's guide to automating intelligent investment and eliminating behavioral errors /
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The structure and dynamics of cities : = urban data analysis andtheoretical modeling /
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Quantitative data analysis = a companion for accounting and information systems research /
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Reinventing the Methodology of Studying Contemporary China = Re-testing the One-dot Theory /
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Handbook of research on engineering innovations and technology management in organizations
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Decision making with quantitative financial market data = applications, precautions and pitfalls /
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Advances in compositional data analysis = festschrift in honour of Vera Pawlowsky-Glahn /
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Guide to mobile data analytics in refugee scenarios = the 'Data for Refugees Challenge' study /
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Quantitative methods in pharmaceutical research and development = concepts and applications /
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The seductions of quantification : = measuring human rights, gender violence, and sex trafficking /
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Quantitative reasoning in the context of energy and environment = modeling problems in the real world /
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Service industry databook = understanding and analyzing sector specific data across 15 nations /
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Business process standardization = a multi-methodological analysis of drivers and consequences /
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Researching young children's perspectives = debating the ethics and dilemmas of educational research with children /
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Improving the user experience through practical data analytics = gain meaningful insight and increase your bottom line /
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Introduction to data science = a Python approach to concepts, techniques and applications /
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Beginning data science in R = data analysis, visualization, and modelling for the data scientist /
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Interpretive quantification : = methodological explorations for critical and constructivist IR /
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Translating diverse environmental data into reliable information = how to coordinate evidence from different sources /
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Quantitative research methods in consumer psychology = contemporary and data driven approaches /
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Applied and systemic-structural activity theory = advances in studies of human performance /
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Nonlinear dimensionality reduction techniques = a data structure preservation approach /
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Applied modeling techniques and data analysis. = computational data analysis methods and tools /. 1
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Data analysis and related applications.. 1,. Computational, algorithmic and applied economic data analysis
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Data analysis and related applications.. 2,. Multivariate, health and demographic data analysis
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Data science with Jupyter = master data science skills with easy-to-follow Python examples /
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