Methodology of Data Collection and Processing.
Overview
| Works: | 26 works in 20 publications in 20 languages | |
|---|---|---|
Titles
Basic principles of applied medical statistics = a practical guide /
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Fundamentals of Statistical Inference = What is the Meaning of Random Error? /
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Kontinuierliche Messgrößen und Stichprobenstrategien in Raum und Zeit = mit Anwendungen in den Natur-, Umwelt-, Wirtschafts- und Finanzwissenschaften /
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How Data Quality Affects our Understanding of the Earnings Distribution
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Data Assimilation Fundamentals = A Unified Formulation of the State and Parameter Estimation Problem /
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Spatial socio-econometric modeling (SSEM) = a low-code toolkit for spatial data science and interactive visualizations using R /
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Intellectual property statistics = measuring framework for standards and trade in ideas /
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Discrete choice experiments using R = a how-to guide for social and managerial sciences /
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Actionable science of global environment change = from big data to practical research /
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The independence of official statistics = norms, arrangements, instruments /
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Unity from diversity = pluralist systemic thinking for social and behavioural research /
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High-quality and timely statistics = new methods and applications /
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Databricks data intelligence platform = unlocking the GenAI revolution /
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21st century foresight = shaping the future for sustainable social, economic and environmental development in South Africa /
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Statistical modeling and applications = multivariate, heavy-tailed, skewed distributions and mixture modeling.. Volume 2 /
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Biostatistics in biopharmaceutical research and development.. Volume 2,. Clinical trial analysis
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Selected topics in statistical inference = theory and applications /
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