Understanding Advanced Statistical Methods
Providing a much-needed bridge between elementary statistics courses and advanced research methods courses, Understanding Advanced Statistical Methods helps students grasp the fundamental assumptions and machinery behind sophisticated statistical topics, such as logistic regressi… Celý popis ↓
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Popis Understanding Advanced Statistical Methods
Understanding Advanced Statistical Methods
Providing a much-needed bridge between elementary statistics courses and advanced research methods courses, Understanding Advanced Statistical Methods helps students grasp the fundamental assumptions and machinery behind sophisticated statistical topics, such as logistic regression, maximum likelihood, bootstrapping, nonparametrics, and Bayesian methods. It leads them to think differently not only about math and statistics but also about general research and the scientific method. The book teaches students how to properly model, think critically, and design their own studies to avoid common errors.
It also downplays the "population" interpretation of statistical models and presents Bayesian methods before frequentist ones. With a focus on statistical models as producers of data, the book enables students to more easily understand the machinery of advanced statistics. Requiring no prior
Parametre
- Výrobca
- Taylor & Francis Inc
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