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- Author: Joni N Shreve
- Publisher: SAS Institute
- ISBN-10: 1642951803
- ISBN-13: 9781642951806
- Format: 21.6 x 27.9 x 2.4 cm, kieti viršeliai
- Language: English
- SAVE -10% with code: EXTRA
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Description
Must-have study guide for the SAS(R) Certified Statistical Business Analyst Using SAS(R)9: Regression and Modeling exam!Written for both new and experienced SAS programmers, the SAS(R) Certification Prep Guide: Statistical Business Analysis Using SAS(R)9 is an in-depth prep guide for the SAS(R) Certified Statistical Business Analyst Using SAS(R)9: Regression and Modeling exam.
The authors step through identifying the business question, generating results with SAS, and interpreting the output in a business context. The case study approach uses both real and simulated data to master the content of the certification exam. Each chapter also includes a quiz aimed at testing the reader's comprehension of the material presented.
Major topics include:
- ANOVA
- Linear Regression
- Logistic Regression
- Inputs for Predictive Modeling
- Model Performance
For those new to statistical topics or those needing a review of statistical foundations, this book also serves as an excellent reference guide for understanding descriptive and inferential statistics.
Appendices can be found here.
EXTRA 10 % discount with code: EXTRA
The promotion ends in 23d.14:25:02
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- Author: Joni N Shreve
- Publisher: SAS Institute
- ISBN-10: 1642951803
- ISBN-13: 9781642951806
- Format: 21.6 x 27.9 x 2.4 cm, kieti viršeliai
- Language: English English
Written for both new and experienced SAS programmers, the SAS(R) Certification Prep Guide: Statistical Business Analysis Using SAS(R)9 is an in-depth prep guide for the SAS(R) Certified Statistical Business Analyst Using SAS(R)9: Regression and Modeling exam.
The authors step through identifying the business question, generating results with SAS, and interpreting the output in a business context. The case study approach uses both real and simulated data to master the content of the certification exam. Each chapter also includes a quiz aimed at testing the reader's comprehension of the material presented.
Major topics include:
- ANOVA
- Linear Regression
- Logistic Regression
- Inputs for Predictive Modeling
- Model Performance
For those new to statistical topics or those needing a review of statistical foundations, this book also serves as an excellent reference guide for understanding descriptive and inferential statistics.
Appendices can be found here.
Reviews