ISE Predictive Analytics for Business Strategy
Published on 4. July 2018
Book
Paperback/Softback
370 pages
978-1-260-08464-1 (ISBN)
Description
Designed for courses that provide a conceptual and broad-based introduction to econometrics and business analytics, Predictive Analytics for Business Strategy, 1st edition provides future managers with a basic understanding of what data can do in forming business strategy without getting into a taxonomy of models and their statistical properties. Through engaging questions, explanations, and applications, students develop a deeper understanding of the fundamental reasoning behind how and why analysis can generate actionable knowledge and learn to think critically about whether a given analysis has merit or not.
More details
Language
English
Place of publication
OH
United States
Target group
College/higher education
US School Grade: From College Freshman to College Graduate Student
Dimensions
Height: 205 mm
Width: 232 mm
Thickness: 13 mm
Weight
498 gr
ISBN-13
978-1-260-08464-1 (9781260084641)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Person
Jeffrey T. Prince is Professor of Business Economics & Public Policy and Harold A. Poling Chair in Strategic Management at Indiana University's Kelley School of Business. He received his B.A. in economics and B.S. in mathematics and statistics from Miami University in 1998 and earned a Ph.D. in economics from Northwestern University in 2004. Prior to joining Indiana University, he taught graduate and undergraduate courses at Cornell University.Jeff has won top teaching honors as a faculty member at both Indiana University and Cornell, and as a graduate student at Northwestern. He has a broad research agenda within applied economics, having written and published on topics that include demand in technology and telecommunications markets, internet diffusion, regulation in healthcare, risk aversion in insurance markets, and quality competition among airlines. He is one of a small number of economists to have published in both the top journal in economics (American Economic Review) and the top journal in management (Academy of Management Journal). Professor Prince currently is a co-editor at the Journal of Economics and Management Strategy, and serves on the editorial board for Information Economics and Policy. In his free time, Jeff enjoys activities ranging from poker and bridge to running and racquetball.
Content
Chapter 1: The Roles of Data and Predictive Analytics in Business
Chapter 2: Reasoning with Data
Chapter 3: Reasoning from Sample to Population
Chapter 4: The Scientific Method: The Gold Standard for Establishing Causality
Chapter 5: Linear Regression as a Fundamental Descriptive Tool
Chapter 6: Correlation vs. Causality in Regression Analysis
Chapter 7: Basic Methods for Establishing Causal Inference
Chapter 8: Advances Methods for Establishing Causal Inference
Chapter 9: Prediction for a Dichotomous Variable
Chapter 10: Identification and Data Assessment
Chapter 2: Reasoning with Data
Chapter 3: Reasoning from Sample to Population
Chapter 4: The Scientific Method: The Gold Standard for Establishing Causality
Chapter 5: Linear Regression as a Fundamental Descriptive Tool
Chapter 6: Correlation vs. Causality in Regression Analysis
Chapter 7: Basic Methods for Establishing Causal Inference
Chapter 8: Advances Methods for Establishing Causal Inference
Chapter 9: Prediction for a Dichotomous Variable
Chapter 10: Identification and Data Assessment