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Stat Labs

Mathematical Statistics Through Applications

  • Textbook
  • © 2000

Overview

Authors:
  1. Deborah Nolan

    1. Department of Statistics, University of California, Berkeley, Berkeley, USA

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  2. Terry Speed

    1. Department of Statistics, University of California, Berkeley, Berkeley, USA

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    You can also search for this author in PubMed   Google Scholar

Part of the book series: Springer Texts in Statistics (STS)

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Table of contents (12 chapters)

  1. Front Matter

    Pages i-xviii
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  2. Maternal Smoking and Infant Health

    Pages 1-25

  3. Who Plays Video Games?

    Pages 27-52

  4. Minnesota Radon Levels

    Pages 53-73

  5. Patterns in DNA

    Pages 75-98

  6. Can She Taste the Difference?

    Pages 99-117

  7. HIV Infection in Hemophiliacs

    Pages 119-138

  8. Dungeness Crab Growth

    Pages 139-159

  9. Calibrating a Snow Gauge

    Pages 161-178

  10. Voting Behavior

    Pages 179-195

  11. Maternal Smoking and Infant Health (continued)

    Pages 197-213

  12. A Mouse Model for Down Syndrome

    Pages 215-236

  13. Helicopter Design

    Pages 237-250

  14. Back Matter

    Pages 251-283
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Keywords

About this book

This book uses a model we have developed for teaching mathematical statistics through in depth case studies. Traditional statistics texts have many small numer ical examples in each chapter to illustrate a topic in statistical theory. Here, we instead make a case study the centerpiece of each chapter. The case studies, which we call labs, raise interesting scienti?c questions, and ?guring out how to answer a question is the starting point for developing statistical theory. The labs are substan tial exercises; they have nontrivial solutions that leave room for different analyses of the data. In addition to providing the framework and motivation for studying topics in mathematical statistics, the labs help students develop statistical thinking. We feel that this approach integrates theoretical and applied statistics in a way not commonly encountered in an undergraduate text. The Student The book is intended for a course in mathematical statistics for juniors and seniors. We assume that students have had one year of calculus, including Taylor series, and a course in probability. We do not assume students have experience with statistical software so we incorporate lessons into our course on how to use the software.

Authors and Affiliations

  • Department of Statistics, University of California, Berkeley, Berkeley, USA

    Deborah Nolan, Terry Speed

Bibliographic Information

  • Book Title: Stat Labs

  • Book Subtitle: Mathematical Statistics Through Applications

  • Authors: Deborah Nolan, Terry Speed

  • Series Title: Springer Texts in Statistics

  • DOI: https://doi.org/10.1007/b98875

  • Publisher: Springer New York, NY

  • eBook Packages: Springer Book Archive

  • Copyright Information: Springer-Verlag New York 2000

  • Softcover ISBN: 978-0-387-98974-7Published: 31 May 2000

  • eBook ISBN: 978-0-387-22743-6Published: 02 May 2006

  • Series ISSN: 1431-875X

  • Series E-ISSN: 2197-4136

  • Edition Number: 1

  • Number of Pages: XVIII, 283

  • Topics: Statistical Theory and Methods

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