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Regression Modeling Strategies: With Applications to Linear Models, Logistic Reg

Description: payment | shipping rates | returns Regression Modeling Strategies: With Applications to Linear Models, Logistic Regression, and Survival Analysis (Springer Series in Statistics) Product Category : Books ISBN : 9780387952321 Title : Regression Modeling Strategies: With Applications to Linear Models, Logistic Regression, and Survival Analysis (Springer Series in Statistics) EAN : 9780387952321 Authors : Harrell Jr., Frank E. Binding : Hardcover Publisher : Springer Publication Date : 2001-01-10 Pages : 572 Signed : False First Edition : False Dust Jacket : False List Price (MSRP) : 119.00 Height : 1.3386 inches Width : 7.0866 inches Length : 9.3701 inches Weight : 2.4700 pounds Condition : Good About hpb-red Selling quality books and media since 1972. Customer service is our top priority! Payment We accept several payment types. They are shown above. Shipping Please click the "Shipping and Payments" tab above for details. Returns Your satisfaction is very important to us. Please contact us via the methods available within eBay regarding any problems before leaving negative feedback. You have 60 days from purchase to request a refund. © 2024 hpb-red

Price: 19.97 USD

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Regression Modeling Strategies: With Applications to Linear Models, Logistic Reg

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Restocking Fee: No

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Book Title: Regression Modeling Strategies: With Applications to Linear Model

Number of Pages: Xxiv, 572 Pages

Language: English

Publication Name: Regression Modeling Strategies : With Applications to Linear Models, Logistic Regression, and Survival Analysis

Publisher: Springer

Subject: Biostatistics, Mathematical & Statistical Software, Probability & Statistics / Regression Analysis, Probability & Statistics / General

Publication Year: 2006

Item Weight: 105.1 Oz

Type: Textbook

Author: Frank E. Harrell Jr.

Subject Area: Mathematics, Computers, Medical

Item Length: 10 in

Item Width: 7 in

Series: Springer Series in Statistics Ser.

Format: Hardcover

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