Numerical Issues In Statistical Computing For The Social Scientist

Download Citation on ResearchGate | On Jan 1, 2012, Ranjan Maitra and others published Numerical Issues in Statistical Computing for the Social Scientist

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Addressing the current deficiency in the literature on statistical methods as they apply to the social and behavioral sciences, Numerical Issues in Statistical Computing for the Social Scientist seeks to provide readers with a unique practical guidebook to the numerical methods underlying computerized statistical calculations specific to these fields.

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The lack of a bridging work between standard statistical texts, which, at most, touch on numerical computing issues, and the comprehensive work in statistical computing has hindered research in a number of social science fields.

4 · The Science in Social Science Qualitative research, in contrast, covers a wide range of approaches, but by definition, none of these approaches relies on numerical mea-surements. Such work has tended to focus on one or a small number of cases, to use intensive interviews or depth analysis of historical ma-

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The Journal of Computational Social Science (JCSS) is an interdisciplinary peer-reviewed journal that ties together groundbreaking research across the strata of the social sciences (sociology, economics, political science, psychology, linguistics, and other disciplines), physics, biology, management science, computer science, and data science. In addition to topics conventionally associated.

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Numerical Issues in Statistical Computing for the Social Sciences. By Frauke Kreuter. Abstract. Abstracts not available for BookReview Topics: Statistics, HA1-4737. Publisher: Foundation for.

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Statistical research in the social sciences requires several technical skills: an understanding of some basic probability and statistical theory, knowledge of how to apply that theory to different kinds of data and different kinds of issues, and basic computer skills necessary to obtain and analyze data.

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Some methods of computing things are easier than others. Multiplying n m matrix by m k matrix is O(nmk) calculations. Let A;B be n n matrices and c be an n 1 vector.

However, my work involves a fusion of disciplines — biology, policy-analysis statistics. we research public health issues. What we do there that’s slightly unusual is that we sometimes borrow.

economic, and social issues. Statistical research in the social sciences requires several technical skills: an understanding of some basic probability and statistical theory, knowledge of how to apply that theory to different kinds of data and different kinds of issues, and basic computer.

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The Journal of Computational Social Science (JCSS) is an interdisciplinary peer-reviewed journal that ties together groundbreaking research across the strata of the social sciences (sociology, economics, political science, psychology, linguistics, and other disciplines), physics, biology, management science, computer science, and data science.

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Numerical Issues in Statistical Computing for the Social Sciences Article (PDF Available) in Journal of statistical software 12(1) · April 2005 with 36 Reads How we measure ‘reads’

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The U.S. Census Bureau is making waves among social scientists with what it calls a “sea. at a 2005 conference on privacy attended mainly by cryptographers and computer scientists. “We were.

For the study, researchers used the National Center for Health Statistics Multiple Cause. the College for Design and Social Inquiry, the College of Education, the College of Engineering and.