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Business Analytics (2/E)

Jaggia 저 | McGraw-Hill | 2021년 01월

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ISBN : 9781265087685 / 800쪽 / 728g

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  • 저자 : Jaggia
저자 : Sanjiv Jaggia
Sanjiv Jaggia is a professor of economics and finance at California Polytechnic State University in San Luis Obispo. Dr. Jaggia holds a Ph.D. from Indiana University and is a Chartered Financial Analyst (CFAi). He enjoys research in statistics and econometrics applied to a wide range of business disciplines. Dr. Jaggia has published several papers in leading academic journals and has co-authored two successful textbooks in business statistics. His ability to communicate in the classroom has been acknowledged by several teaching awards. Dr. Jaggia resides in San Luis Obispo with his wife and daughter. In his spare time, he enjoys cooking, hiking, and listening to a wide range of music.

저자 : Alison Kelly
Alison Kelly is a professor of economics at Suffolk University in Boston. Dr. Kelly holds a Ph.D. from Boston College and is a Chartered Financial Analyst (CFAi). Dr. Kelly has published in a wide variety of academic journals and has co-authored two successful textbooks in business statistics. Her courses in applied statistics and econometrics are well received by students as well as working professionals. Dr. Kelly resides in Hamilton, Massachusetts, with her husband, daughter, and son. In her spare time, she enjoys exercising gard

저자 : Kevin Lertwachara
Kevin Lertwachara is a professor of information systems at California Polytechnic State University in San Luis Obispo. Dr. Lertwachara holds a Ph.D. in Operations and Information Management from the University of Connecticut. Dr. Lertwacharas research focuses on technology-based innovation, electronic commerce, health care informatics, and business analytics and his work has been published in scholarly books and leading academic journals. He teaches business analytics at both the undergraduate and graduate levels and has received several teaching awards. Dr. Lertwachara resides in the central coast of California with his wife and three sons. In his spare time, he coaches his sons soccer and futsal teams.

저자 : Leida Chen
Leida Chen is a professor of information systems at California Polytechnic State University in San Luis Obispo. Dr. Chen earned a Ph.D. in Management Information Systems from University of Memphis. His research and consulting interests are in the areas of business analytics, technology diffusion, and global information systems. Dr. Chen has published over 50 research articles in leading information systems journals, over 30 articles and book chapters in national and international conference proceedings and edited books, and a book on mobile application development. He teaches business analytics at both the undergraduate and graduate levels. In his spare time, Dr. Chen enjoys hiking, painting, and traveling with his wife and son to interesting places around the world.

목차

CHAPTER 1: Introduction to Business Analytics
CHAPTER 2: Data Management and Wrangling
CHAPTER 3: Summary Measures
CHAPTER 4: Data Visualization
CHAPTER 5: Probability and Probability Distributions
CHAPTER 6: Statistical Inference
CHAPTER 7: Regression Analysis
CHAPTER 8: Introduction to Data Mining
CHAPTER 9: More Topics in Regression Analysis
CHAPTER 10: Logistic Regression Models
CHAPTER 11: Supervised Data Mining: kNN and Naive Bayes
CHAPTER 12: Supervised Data Mining: Decision Trees
CHAPTER 13: Unsupervised Data Mining
CHAPTER 14: Forecasting with Time Series Data
CHAPTER 15: Spreadsheet Modelling
CHAPTER 16: Risk and Simulation
CHAPTER 17: Optimization: Linear Programming
CHAPTER 18: Optimization: Integer and Nonlinear Programming

APPENDIX A Big Data Sets: Variable Description and Data Dictionary
APPENDIX B Getting Started with Excel and Excel Add-Ins
APPENDIX C Getting Started with R
APPENDIX D Statistical Tables
APPENDIX E Answers to Selected Exercises

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