This worldwide best-selling business statistics book teaches readers how to apply statistics to real business problems through the author's unique three-step approach to problem solving. Readers lear
STATISTICS FOR MANAGEMENT AND ECONOMICS, Tenth Edition, emphasizes applications over calculation. It illustrates how vital statistical methods and tools are for today's managers--and teaches you how t
Emphasizing applications over calculation, worldwide-bestseller STATISTICS FOR MANAGEMENT AND ECONOMICS, ABBREVIATED 10e vividly illustrates how vital statistical methods and tools are for today's man
This worldwide best-selling business statistics book teaches readers how to apply statistics to real-world business problems through the author's unique three-step approach to problem solving. Reader
Emphasizing applications over calculation, worldwide-bestseller STATISTICS FOR MANAGEMENT AND ECONOMICS, ABBREVIATED 10e vividly illustrates how vital statistical methods and tools are for today's man
Essential Statistics for Economics, Business and Management assumes no prior knowledge of statistics. It will also be highly relevant for the statistics component of courses in quantitative methods. T
本書由Brigham所著之Fundamentals of Financial Management第十一版修改而成，保留原書第1至17章，第18章「Derivatives and Risk Management」則委請新加坡南洋理工大學Lee Hon Sing教授改寫，介紹衍生性商品之基本內容與原理，以及實際掛牌交易種類、報價、規格等等，以讓讀者能看得懂財經報章為訴求。至於其後第19至21章如購併
Business Statistics for Management and Economics is an application-oriented text providing students with a solid grounding in statistical theory and allowing them to make the most of data analysis te
This book focuses on general frameworks for modeling heavy-tailed distributions in economics, finance, econometrics, statistics, risk management and insurance. A central theme is that of (non-)robustn
Prospect Theory: For Risk and Ambiguity, provides a comprehensive and accessible textbook treatment of the way decisions are made both when we have the statistical probabilities associated with uncertain future events (risk) and when we lack them (ambiguity). The book presents models, primarily prospect theory, that are both tractable and psychologically realistic. A method of presentation is chosen that makes the empirical meaning of each theoretical model completely transparent. Prospect theory has many applications in a wide variety of disciplines. The material in the book has been carefully organized to allow readers to select pathways through the book relevant to their own interests. With numerous exercises and worked examples, the book is ideally suited to the needs of students taking courses in decision theory in economics, mathematics, finance, psychology, management science, health, computer science, Bayesian statistics, and engineering.
Prospect Theory: For Risk and Ambiguity, provides a comprehensive and accessible textbook treatment of the way decisions are made both when we have the statistical probabilities associated with uncertain future events (risk) and when we lack them (ambiguity). The book presents models, primarily prospect theory, that are both tractable and psychologically realistic. A method of presentation is chosen that makes the empirical meaning of each theoretical model completely transparent. Prospect theory has many applications in a wide variety of disciplines. The material in the book has been carefully organized to allow readers to select pathways through the book relevant to their own interests. With numerous exercises and worked examples, the book is ideally suited to the needs of students taking courses in decision theory in economics, mathematics, finance, psychology, management science, health, computer science, Bayesian statistics, and engineering.
