ebooks and download videos Search All  Title  Author 
Home / Nonfiction / Mathematics / Probability & Statistics / Bayesian Analysis

Understanding Advanced Statistical Methods

| £70.29 | €78.42 | Ca$114.65 | Au$113.00
by Peter Westfall & Kevin S. S. Henning
What is this?DRM-PDF | by download   add to wish list
Understanding Advanced Statistical Methods by Peter Westfall & Kevin S. S. Henning

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. The book teaches students how to properly model, think critically, and design their own studies to avoid common errors. It leads them to think differently not only about math and statistics but also about general research and the scientific method. With a focus on statistical models as producers of data, the book enables students to more easily understand the machinery of advanced statistics. It also downplays the "population" interpretation of statistical models and presents Bayesian methods before frequentist ones. Requiring no prior calculus experience, the text employs a "just-in-time" approach that introduces mathematical topics, including calculus, where needed. Formulas throughout the text are used to explain why calculus and probability are essential in statistical modeling. The authors also intuitively explain the theory and logic behind real data analysis, incorporating a range of application examples from the social, economic, biological, medical, physical, and engineering sciences. Enabling your students to answer the why behind statistical methods, this text teaches them how to successfully draw conclusions when the premises are flawed. It empowers them to use advanced statistical methods with confidence and develop their own statistical recipes. Ancillary materials are available on the book's website.

To view this DRM protected ebook on your desktop or laptop you will need to have Adobe Digital Editions installed. It is a free software. We also strongly recommend that you sign up for an AdobeID at the Adobe website. For more details please see FAQ 1&2. To view this ebook on an iPhone, iPad or Android mobile device you will need the Adobe Digital Editions app, or BlueFire Reader or Txtr app. These are free, too. For more details see this article.

SHARE  Share by Email  Share on Facebook  Share on Twitter  Share on Linked In  Share on Delicious
or call in the US toll free 1-888-866-9150 product ID: 734700

Ebook Details
Pages: 569
Size: 14.2 MB
Publisher: CRC Press
Date published:   2013
ISBN: 9781466512115 (DRM-PDF)

DRM Settings
Copying:not allowed
Printing:not allowed
Read Aloud:  not allowed

Territory Restrictions
This ebook will NOT be sold to customers with a billing address in:

This product is listed in the following categories:

Nonfiction > Mathematics > Probability & Statistics
Nonfiction > Mathematics > Probability & Statistics > Bayesian Analysis

These authors have products in the following categories:

Nonfiction > Mathematics > Probability & Statistics
Nonfiction > Mathematics > Probability & Statistics > Bayesian Analysis

If you find anything wrong with this product listing, perhaps the description is wrong, the author is incorrect, or it is listed in the wrong category, then please contact us. We will promptly address your feedback.

Submit 5 page SummaryWhat is this?

© 2016