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Statistical theory powering data science. (English) Zbl 1440.62399
Summary: Statisticians are finding their place in the emerging field of data science. However, many issues considered “new” in data science have long histories in statistics. Examples of using statistical thinking are illustrated, which range from exploratory data analysis to measuring uncertainty to accommodating nonrandom samples. These examples are then applied to service networks, baseball predictions and official statistics.
MSC:
62R07 Statistical aspects of big data and data science
62G07 Density estimation
62P20 Applications of statistics to economics
60K25 Queueing theory (aspects of probability theory)
Software:
mixfdr; JCCOptim
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Full Text: DOI Euclid
References:
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