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Synopsis
Text combines lucid and statistically engaging exposition, graphic and poignantly applied examples, realistic exercise settings to take student past the mechanics of introductory-level statistical techniques into the realm of practical data analysis and inference-based problem solving.
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About the Author
Christopher J. Wild, PhD, Professor of Statistics University of Auckland. A Fellow of the American Statistical Association and Royal Society of New Zealand Chris Wild works on developing methods for modelling response-selective data (e.g. case-control studies) and missing data problems, and in statistics education with particular emphasis on statistical thinking and reasoning processes.
George A. F. Seber, PhD, Dip. Counsel. is an Emeritus Professor in the Department of Statistics at the University of Auckland in New Zealand. A Fellow of the New Zealand Royal Society and recipient of the Hector Medal in Science by the NZ Royal Society, he is the author or coauthor of 15 statistical books and an extensive book on counselling. His research interests have included linear and nonlinear modeling, multivariate analysis, statistical ecology, genetics, epidemiology, and adaptive sampling.
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Chance Encounters: A First Course in Data Analysis and Inference
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Chance Encounters: A First Course in Data Analysis and Inference
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Chance Encounters: A First Course in Data Analysis and Inference
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Chance Encounters: A First Course in Data Analysis and Inference
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Chance Encounters: A First Course in Data Analysis and Inference
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Chance Encounters: A First Course in Data Analysis and Inference
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Chance Encounters: A First Course in Data Analysis and Inference
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