Title
Linear Models in Statistics,Used
Delivery time: 8-12 business days (International)
Linear models made easy with this unique introduction Linear Models in Statistics discusses classical linear models from a matrix algebra perspective, making the subject easily accessible to readers encountering linear models for the first time. It provides a solid foundation from which to explore the literature and interpret correctly the output of computer packages, and brings together a number of approaches to regression and analysis of variance that more experienced practitioners will also benefit from. With an emphasis on broad coverage of essential topics, Linear Models in Statistics carefully develops the basic theory of regression and analysis of variance, illustrating it with examples from a wide range of disciplines. Other features of this remarkable work include:* Easytoread proofs and clear explanations of concepts and procedures* Special topics such as multiple regression with random x's and the effect of each variable on R2* Advanced topics such as mixed and generalized linear models as well as logistic and nonlinear regression* The use of real data sets in examples, with all data sets available over the Internet* Numerous theoretical and applied problems, with answers in an appendix* A thorough review of the requisite matrix algebra* Graphs, charts, and tables as well as extensive references
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Shipping & Returns
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We provide a 2-year limited warranty, from the date of purchase for all our products.
If you believe you have received a defective product, or are experiencing any problems with your product, please contact us.
This warranty strictly does not cover damages that arose from negligence, misuse, wear and tear, or not in accordance with product instructions (dropping the product, etc.).
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Your payment information is processed securely. We do not store credit card details nor have access to your credit card information.
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