Data Analysis Using Regression Models - Info and Reading Options
The Business Perspective
By Edward W. Frees
"Data Analysis Using Regression Models" is published by Prentice Hall in August 18, 1995 - Englewood Cliffs, N.J, it has 714 pages and the language of the book is English.
“Data Analysis Using Regression Models” Metadata:
- Title: ➤ Data Analysis Using Regression Models
- Author: Edward W. Frees
- Language: English
- Number of Pages: 714
- Publisher: Prentice Hall
- Publish Date: August 18, 1995
- Publish Location: Englewood Cliffs, N.J
“Data Analysis Using Regression Models” Subjects and Themes:
- Subjects: ➤ Regression analysis - Statistical methods - Social sciences - Linear models - Random variables - Mathematical statistics - Estimation theory - Time series analysis - Analysis of variance - Analyse de régression - Sciences sociales - Méthodes statistiques - Regressiemodellen - Regressieanalyse - Intractable pain - Handbooks, manuals - Pain - Analgesia - Pain Management
Edition Specifications:
- Format: Hardcover
- Weight: 3 pounds
- Pagination: ➤ xxxiv, 714 pages : illustrations ; 25 cm + 1 computer disc (3 1/2 in.)
Edition Identifiers:
- The Open Library ID: OL780753M - OL2906289W
- Online Computer Library Center (OCLC) ID: 32384846 - 27311229
- Library of Congress Control Number (LCCN): 95012629 - 92048553
- ISBN-13: 978-0683083323
- ISBN-10: 0132199815
- All ISBNs: 0132199815 - 978-0683083323
AI-generated Review of “Data Analysis Using Regression Models”:
"Data Analysis Using Regression Models" Table Of Contents:
- 1- -- 1. Introduction --
- 2- -- 2. Foundations --
- 3- -- 3. Regression Using One Independent Variable --
- 4- -- 4. Regression Using Many Independent Variables --
- 5- -- 5. Regression Using Categorical Independent Variables --
- 6- -- 6. Regression --
- 7- -- Selecting a Model --
- 8- -- 7. Regression --
- 9- -- Interpreting Results --
- 10- -- 8. Regression Using Binary Dependent Variables --
- 11- -- 9. Random Processes and Random Walks --
- 12- -- 10. Autocorrelations and Autoregressive Models --
- 13- -- 11. Forecasting and Time Series Models --
- 14- -- 12. Reporting Writing: Communicating Data Analysis Results --
- 15- -- 13. Presenting Data --
- 16- -- Elements of Matrix Algebra --
- 17- -- Technical Supplements.
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