Business Analytics, Second Edition teaches the fundamental concepts of the emerging field of business analytics and provides vital tools in understanding how data analysis works in today’s organizations. Students will learn to apply basic business analytics principles, communicate with analytics professionals, and effectively use and interpret analytic models to make better bus...(展开全部)

Business Analytics, Second Edition teaches the fundamental concepts of the emerging field of business analytics and provides vital tools in understanding how data analysis works in today’s organizations. Students will learn to apply basic business analytics principles, communicate with analytics professionals, and effectively use and interpret analytic models to make better bus...(展开全部)

This book is intended as a textbook for a first-year Ph. D. course in mathematics for economists and as a reference for graduate students in economics. It provides a self-contained, rigorous treatment of most of the concepts and techniques required to follow the standard first-year theory sequence in micro and macroeconomics. The topics covered include an introduction to analys...(展开全部)

This book is intended as a textbook for a first-year Ph. D. course in mathematics for economists and as a reference for graduate students in economics. It provides a self-contained, rigorous treatment of most of the concepts and techniques required to follow the standard first-year theory sequence in micro and macroeconomics. The topics covered include an introduction to analys...(展开全部)

About the Author Dr. Jeffrey D. Camm is Professor of Quantitative Analysis and head of the Department of Quantitative Analysis and Operations Management at the University of Cincinnati, where he has been since 1984. He also has served as a visiting scholar at Stanford University and a visiting professor of Business Administration at the Tuck School of Business at Dartmouth Coll...(展开全部)

About the Authors　　作者简介杰弗里D.坎姆（Jeffrey D.Camm）杰弗里D.坎姆是美国辛辛那提大学数量分析专业教授，当过运筹学、商务统计分析、信息系统系的系主任，是辛辛那提大学Carl H.Lindner商学院商业研究继续教育学院的主管。坎姆教授出生在俄亥俄州的辛辛那提市，本科毕业于泽维尔大学（Xavier University），博士毕业于克莱姆森大学（Clemson University）。自1984年起，坎姆教授就一直在辛辛那提大学任教，是斯坦福大学的访问学者，做过达特茅斯学院塔克商学院工商管理专业的访问教授。 坎姆博士在运营管理优化领域发表了30多篇论文，分别刊登在《科学》《管理科学》《运筹学》、Interfaces等专业期刊杂志上。在辛辛那提大学，坎姆博士是Dornoff Fellow教学优秀奖获得者，也是运筹学和...(展开全部)

大卫 R. 亨德森（David R. Henderson） 美国加利福尼亚州蒙特利海军研究生院经济学副教授，斯坦福大学胡佛研究所研究员。毕业于加州大学洛杉矶分校，在著名经济学家阿门•阿尔奇安、哈罗德•德姆塞茨、杰克•赫舒拉发、本•克莱因和山姆•皮尔茨曼的指导下，获得博士学位，并曾经任教于罗切斯特大学和圣克拉拉大学。在进入海军研究生院之前，他曾担任里根总统经济顾问委员会高级经济学家，主编了第一部，同时也是迄今为止唯一一部通俗易懂的经济学百科全书——《财富经济学百科全书》。 查尔斯 L. 胡珀（Charles L. Hooper） 斯坦福大学胡佛研究所的一名客座研究员，“目标分析”（Objective Insights）咨询公司的总裁和创始人。他在圣克拉拉大学和斯坦福大学分别获得计算机科学学士学位和工程经济系统（现更名为管理科学与工程）硕士学位，并在斯坦...(展开全部)

Learn to use probability in complex realistic situations with PROBABILITY MODELS FOR ECONOMIC DECISIONS. This introduction to the use of probability models for analyzing risks and economic decisions uses Microsoft Excel spreadsheets for the analytic work. As a result of the emphasis on spreadsheet modeling, you'll also develop sophisticated spreadsheet skills.

Models and Methods in Social Network Analysis presents the most important developments in quantitative models and methods for analyzing social network data that have appeared during the 1990s. Intended as a complement to Wasserman and Faust's Social Network Analysis: Methods and Applications, it is a collection of articles by leading methodologists reviewing advances in their p...(展开全部)

Models and Methods in Social Network Analysis presents the most important developments in quantitative models and methods for analyzing social network data that have appeared during the 1990s. Intended as a complement to Wasserman and Faust's Social Network Analysis: Methods and Applications, it is a collection of articles by leading methodologists reviewing advances in their p...(展开全部)