Quantitative methods : an introduction for business management /

• Κύριος συγγραφέας: Brandimarte, Paolo
• Συγγραφή απο Οργανισμό/Αρχή: Wiley InterScience (Online service)
• Μορφή: Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Hoboken, N.J. : Wiley, [2011]
• Θέματα: Management > Mathematical models.; Business.; BUSINESS & ECONOMICS > Training.; Electronic books.

 "This book consists of the following four parts: Motivations and Foundations; Elementary Probability and Statistics; Decision Making Models; and Advanced Statistical Modeling. Part I is introductory, and an initial chapter provides motivation for all of the subsequent chapters by means of simple, but (hopefully) well-thought, toy examples. The following two chapters lay down necessary foundations in calculus and algebra. Part II consists of a classical course in probability and statistics, and the author stresses the use of many examples and counter-examples. Part III addresses decision making since probability and statistics are used to make decisions. Deterministic models, i.e. typical LP models, are introduced, and the emphasis is on modeling rather than computation by the simplex method. Emphasis is also placed on risk aversion and risk measures, and the author illustrates portfolio management as a main motivator. Part IV builds on Part II and discusses a few multivariate analysis models. To help less mathematically inclined readers, each chapter in Part IV contains an initial section that illustrates and motivates each approach without delving into too many details. These readers may wish to skip the remainder of each chapter. The book's companion Web site includes Microsoft Office Excel workbooks to illustrate concepts. In addition, MATLAB files, additional exercises with solutions are provided online"--   Provided by publisher. 

 Front Matter -- Motivations and Foundations. Quantitative Methods: Should We Bother? -- Calculus -- Linear Algebra -- Elementary Probability and Statistics. Descriptive Statistics: On the Way to Elementary Probability -- Probability Theories -- Discrete Random Variables -- Continuous Random Variables -- Dependence, Correlation, and Conditional Expectation -- Inferential Statistics -- Simple Linear Regression -- Time Series Models -- Models for Decision Making. Deterministic Decision Models -- Decision Making Under Risk -- Multiple Decision Makers, Subjective Probability, and Other Wild Beasts -- Advanced Statistical Modeling. Introduction to Multivariate Analysis -- Advanced Regression Models -- Dealing with Complexity: Data Reduction and Clustering -- Index.