Primer of Applied Regression & Analysis of Variance - Info and Reading Options
By Stanton A. Glantz, Bryan K. Slinker and Torsten B. Neilands
"Primer of Applied Regression & Analysis of Variance" is published by McGraw-Hill Education in April 8, 2016 - New York, USA and it has 1183 pages.
“Primer of Applied Regression & Analysis of Variance” Metadata:
- Title: ➤ Primer of Applied Regression & Analysis of Variance
- Authors: Stanton A. GlantzBryan K. SlinkerTorsten B. Neilands
- Number of Pages: 1183
- Publisher: McGraw-Hill Education
- Publish Date: April 8, 2016
- Publish Location: New York, USA
“Primer of Applied Regression & Analysis of Variance” Subjects and Themes:
- Subjects: ➤ Analysis of variance - Biometry - Regression analysis - Machine learning - Analyse de regression - Regressionsanalyse - Regression Analysis - Analyse de variance - Analysis of Variance - Biometrie - Varianzanalyse - Statistical Data Interpretation - Methods
Edition Specifications:
- Format: Hardcover
- Weight: 4.2 pounds
- Dimensions: 7.5 x 2.0 x 9.5 inches
- Pagination: xxxiii, 1183p
Edition Identifiers:
- The Open Library ID: OL26502373M - OL3796192W
- Online Computer Library Center (OCLC) ID: 967836557
- Library of Congress Control Number (LCCN): 2015033598
- ISBN-13: 9780071824118
- ISBN-10: 0071824111
- All ISBNs: 0071824111 - 9780071824118
AI-generated Review of “Primer of Applied Regression & Analysis of Variance”:
"Primer of Applied Regression & Analysis of Variance" Table Of Contents:
- 1- Why do multivariate analysis? --
- 2- The first step : understanding simple linear regression --
- 3- Regression with two or more independent variables --
- 4- Do the data fit the assumptions? --
- 5- Multicollinearity and what to do about it --
- 6- Selecting the "best" regression model --
- 7- Missing data --
- 8- One-way analysis of variance --
- 9- Two-way analysis of variance --
- 10- Repeated measures --
- 11- Mixing continuous and categorical variables : analysis of covariance --
- 12- Regression with a qualitative dependent variable : logistic regression --
- 13- Regression modeling of time-to-event data : survival analysis --
- 14- Nonlinear regression.
"Primer of Applied Regression & Analysis of Variance" Description:
The Open Library:
Primer of Applied Regression & Analysis of Variance is a textbook especially created for medical, public health, and social and environmental science students who need applied (not theoretical) training in the use of statistical methods. The book has been acclaimed for its user-friendly style that makes complicated material understandable to readers who do not have an extensive math background. The text is packed with learning aids that include chapter-ending summaries and end-of-chapter problems that quickly assess mastery of the material. Examples from biological and health sciences are included to clarify and illustrate key points. The techniques discussed apply to a wide range of disciplines, including social and behavioral science as well as health and life sciences. Typical courses that would use this text include those that cover multiple linear regression and ANOVA. Four completely new chapters Completely updated software information and examples
Read “Primer of Applied Regression & Analysis of Variance”:
Read “Primer of Applied Regression & Analysis of Variance” by choosing from the options below.
Search for “Primer of Applied Regression & Analysis of Variance” downloads:
Visit our Downloads Search page to see if downloads are available.
Find “Primer of Applied Regression & Analysis of Variance” in Libraries Near You:
Read or borrow “Primer of Applied Regression & Analysis of Variance” from your local library.
- The WorldCat Libraries Catalog: Find a copy of “Primer of Applied Regression & Analysis of Variance” at a library near you.
Buy “Primer of Applied Regression & Analysis of Variance” online:
Shop for “Primer of Applied Regression & Analysis of Variance” on popular online marketplaces.
- Ebay: New and used books.
