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and clinicians in near-real time. Many of these systems use statistical algorithms to look for anomalies and to trigger epidemiologic;
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-9, 2011, the IOM held a workshop to explore the information-sharing and collaboration processes needed for the nation's integrated;
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Statistical Methods for Geography is the essential introduction for geography students looking to fully understand and apply key;
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Statistical Methods for Geography is the essential introduction for geography students looking to fully understand and apply key;
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In the context of the 2012 National Strategy for Biosurveillance, the Office of Management and Budget asked the Department of Defense (DoD;
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recognizing the revolution in practices of infection control and public health surveillance. Reviews the current mathematical, statistical;
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recognize geographic or national boundaries, often leading to devastating consequences. Automated biosurveillance systems have emerged as key;
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for exploring statistical models. This book gives a comprehensive introduction to the exciting area of sampling-based methods. An Introduction;
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Introduction to Robust and Quasi-Robust Statistical Methods is een boek van William J.J. Rey;
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unpopular; this book aims to offer a new and more appealing way of learning to this market. a An Introduction to Statistical Analysis for Business;
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recognize geographic or national boundaries, often leading to devastating consequences. Automated biosurveillance systems have emerged as key;
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A well-integrated, national biosurveillance enterprise is a national security imperative. The United States' ability to detect quickly and;
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Geography students need a solid introduction to the variety of ways in which statistical procedures are used to explore and to solve;
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apply with geographic data. Grounded in real world examples, it shows you how to extend traditional statistical methods for use with spatial;
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apply with geographic data. Grounded in real world examples, it shows you how to extend traditional statistical methods for use with spatial;
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book discusses extent to which NBIC is implementing its roles as a biosurveillance integrator, and options for improving such integration.;
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This book provides an undergraduate introduction to analysing data for data science, computer science, and quantitative social science;
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Using formal descriptions, graphical illustrations, practical examples, and R software tools, Introduction to Multivariate Statistical;
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elementary and more advanced statistical Methods, it is primarily aimed at those individuals who need a gentle introduction in how to go about using;
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Making Sense of Statistical Methods in Social Research is a critical introduction to the use of statistical methods in social research. It;
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introduction to statistical methods for students majoring in social science disciplines. No previous knowledge of statistics is assumed, and;
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rather than the mathematics and computational details behind them. Statistical Methods for the Social Sciences, 4e presents an introduction to;
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The first all-inclusive introduction to modern statistical research methods in the natural resource sciences The use of Bayesian;
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Ott and Longnecker's AN INTRODUCTION TO STATISTICAL METHODS AND DATA ANALYSIS, Seventh Edition, provides a broad overview of statistical;
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This book provides an introduction to the use of statistical concepts and methods to model and analyze financial data. The ten chapters;
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