1994 Proceedings of the Section on Statistics and the Environment ; Papers Presented at the Annual Meeting of the American Statistical Association, Toronto, Canada, August 13-18, 1994, Spring Meeting of the Biometric Society, Eastern North American Region (ENAR), Cleveland, Ohio, April 9-13, 1994, 5th Annual Environmetrics Conference, Burlington, Canada, August 9-13, 1994

1994 Proceedings of the Section on Statistics and the Environment ; Papers Presented at the Annual Meeting of the American Statistical Association, Toronto, Canada, August 13-18, 1994, Spring Meeting of the Biometric Society, Eastern North American Region (ENAR), Cleveland, Ohio, April 9-13, 1994, 5th Annual Environmetrics Conference, Burlington, Canada, August 9-13, 1994

Author: American Statistical Association. Section on Statistics and the Environment. meetings

Publisher:

Published: 1994

Total Pages: 209

ISBN-13: 9781883276133

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Biostatistics

Biostatistics

Author: Wayne W. Daniel

Publisher: Wiley

Published: 2018-11-13

Total Pages: 720

ISBN-13: 1119282373

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The ability to analyze and interpret enormous amounts of data has become a prerequisite for success in allied healthcare and the health sciences. Now in its 11th edition, Biostatistics: A Foundation for Analysis in the Health Sciences continues to offer in-depth guidance toward biostatistical concepts, techniques, and practical applications in the modern healthcare setting. Comprehensive in scope yet detailed in coverage, this text helps students understand—and appropriately use—probability distributions, sampling distributions, estimation, hypothesis testing, variance analysis, regression, correlation analysis, and other statistical tools fundamental to the science and practice of medicine. Clearly-defined pedagogical tools help students stay up-to-date on new material, and an emphasis on statistical software allows faster, more accurate calculation while putting the focus on the underlying concepts rather than the math. Students develop highly relevant skills in inferential and differential statistical techniques, equipping them with the ability to organize, summarize, and interpret large bodies of data. Suitable for both graduate and advanced undergraduate coursework, this text retains the rigor required for use as a professional reference.


Black Identities

Black Identities

Author: Mary C. WATERS

Publisher: Harvard University Press

Published: 2009-06-30

Total Pages: 431

ISBN-13: 9780674044944

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The story of West Indian immigrants to the United States is generally considered to be a great success. Mary Waters, however, tells a very different story. She finds that the values that gain first-generation immigrants initial success--a willingness to work hard, a lack of attention to racism, a desire for education, an incentive to save--are undermined by the realities of life and race relations in the United States. Contrary to long-held beliefs, Waters finds, those who resist Americanization are most likely to succeed economically, especially in the second generation.


Object Oriented Data Analysis

Object Oriented Data Analysis

Author: J. S. Marron

Publisher: CRC Press

Published: 2021-11-18

Total Pages: 436

ISBN-13: 1351189662

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Object Oriented Data Analysis is a framework that facilitates inter-disciplinary research through new terminology for discussing the often many possible approaches to the analysis of complex data. Such data are naturally arising in a wide variety of areas. This book aims to provide ways of thinking that enable the making of sensible choices. The main points are illustrated with many real data examples, based on the authors' personal experiences, which have motivated the invention of a wide array of analytic methods. While the mathematics go far beyond the usual in statistics (including differential geometry and even topology), the book is aimed at accessibility by graduate students. There is deliberate focus on ideas over mathematical formulas. J. S. Marron is the Amos Hawley Distinguished Professor of Statistics, Professor of Biostatistics, Adjunct Professor of Computer Science, Faculty Member of the Bioinformatics and Computational Biology Curriculum and Research Member of the Lineberger Cancer Center and the Computational Medicine Program, at the University of North Carolina, Chapel Hill. Ian L. Dryden is a Professor in the Department of Mathematics and Statistics at Florida International University in Miami, has served as Head of School of Mathematical Sciences at the University of Nottingham, and is joint author of the acclaimed book Statistical Shape Analysis.


Past, Present, and Future of Statistical Science

Past, Present, and Future of Statistical Science

Author: Xihong Lin

Publisher: CRC Press

Published: 2014-03-26

Total Pages: 648

ISBN-13: 1482204983

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Past, Present, and Future of Statistical Science was commissioned in 2013 by the Committee of Presidents of Statistical Societies (COPSS) to celebrate its 50th anniversary and the International Year of Statistics. COPSS consists of five charter member statistical societies in North America and is best known for sponsoring prestigious awards in stat