Think Stats

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ISBN 10: 1491907339 / ISBN 13: 9781491907337

Verlag: -, 2014

Beschreibung

Think Stats This book is in very good condition and will be shipped within 24 hours of ordering. The cover may have some limited signs of wear but the pages are clean, intact and the spine remains undamaged. This book has clearly been well maintained and looked after thus far. Money back guarantee if you are not satisfied. See all our books here, order more than 1 book and get discounted shipping.

Bestandsnummer des Verkäufers 7719-9781491907337

Bibliografische Details

• Titel: Think Stats
• Verlag: -
• Erscheinungsjahr: 2014
• Sprache: Englisch
• ISBN-10: 1491907339
• ISBN-13: 9781491907337
• Einband: Paperback
• Auflage: 2. Auflage
• Zustand: Very Good

Über diesen Titel

Inhaltsangabe

If you know how to program, you have the skills to turn data into knowledge, using tools of probability and statistics. This concise introduction shows you how to perform statistical analysis computationally, rather than mathematically, with programs written in Python.

By working with a single case study throughout this thoroughly revised book, you'll learn the entire process of exploratory data analysis--from collecting data and generating statistics to identifying patterns and testing hypotheses. You'll explore distributions, rules of probability, visualization, and many other tools and concepts.

New chapters on regression, time series analysis, survival analysis, and analytic methods will enrich your discoveries.

• Develop an understanding of probability and statistics by writing and testing code
• Run experiments to test statistical behavior, such as generating samples from several distributions
• Use simulations to understand concepts that are hard to grasp mathematically
• Import data from most sources with Python, rather than rely on data that's cleaned and formatted for statistics tools
• Use statistical inference to answer questions about real-world data

Über die Autorin bzw. den Autor

Allen Downey is an Associate Professor of Computer Science at the Olin College of Engineering. He has taught computer science at Wellesley College, Colby College and U.C. Berkeley. He has a Ph.D. in Computer Science from U.C. Berkeley and Master's and Bachelor's degrees from MIT.