Quantitative methods : an introduction for business management / Paolo Brandimarte

Von:

Brandimarte, Paolo, 1963- [aut]

Resource type: Ressourcentyp: Buch (Online)Buch (Online)Sprache: Englisch Verlag: Hoboken, N.J : Wiley, c2011Copyright-Datum: ©2010Auflage: Online-AusgBeschreibung: Online-Ressource (1 online resource (xxiv, 886 p.)) : illISBN:

9781283110709
1283110709
9781118023457

Schlagwörter: Genre/Form:

Lehrbuch

Andere physische Formen: 9780470496347 | 9780470496343 | 1283110679 | Erscheint auch als: Quantitative methods. Druck-Ausgabe Hoboken, N.J. : Wiley, 2011. XXIV, 886 S.DDC-Klassifikation:

658.0072

RVK: RVK: QP 327LOC-Klassifikation:

HD30.25

Online-Ressourcen:

Zugang im Netz des KIT

Zusammenfassung: An accessible introduction to the essential quantitative methods for making valuable business decisions Quantitative methods-research techniques used to analyze quantitative data-enable professionals to organize and understand numbers and, in turn, to make good decisions. Quantitative Methods: An Introduction for Business Management presents the application of quantitative mathematical modeling to decision making in a business management context and emphasizes not only the role of data in drawing conclusions, but also the pitfalls of undiscerning reliance of software packages that implement standard statistical procedures. With hands-on applications and explanations that are accessible to readers at various levels, the book successfully outlines the necessary tools to make smart and successful business decisions. Progressing from beginner to more advanced material at an easy-to-follow pace, the author utilizes motivating examples throughout to aid readers interested in decision making and also provides critical remarks, intuitive traps, and counterexamples when appropriate. The book begins with a discussion of motivations and foundations related to the topic, with introductory presentations of concepts from calculus to linear algebra. Next, the core ideas of quantitative methods are presented in chapters that explore introductory topics in probability, descriptive and inferential statistics, linear regression, and a discussion of time series that includes both classical topics and more challenging models. The author also discusses linear programming models and decision making under risk as well as less standard topics in the field such as game theory and Bayesian statistics. Finally, the book concludes with a focus on selected tools from multivariate statistics, including advanced regression models and data reduction methods such asZusammenfassung: Intro -- Quantitative Methods: An Introduction for Business Management -- Contents -- Preface -- Part I Motivations and Foundations -- 1 Quantitative Methods: Should We Bother? -- 1.1 A decision problem without uncertainty: product mix -- 1.1.1 The case of similar products -- 1.1.2 The case of heterogeneous products -- 1.2 The role of uncertainty -- 1.2.1 A problem in supply chain management -- 1.2.2 Squeezing information out of known facts -- 1.2.3 Variations on coin flipping -- 1.3 Endogenous vs. exogenous uncertainty: Are we alone? -- 1.3.1 The effect of organized markets: pricing a forward contract -- 1.4 Quantitative models and methods -- 1.4.1 Descriptive vs. prescriptive models -- 1.5 Quantitative analysis and problem solving -- Problems -- For further reading -- References -- 2 Calculus -- 2.1 A motivating example: economic order quantity -- 2.1.1 Task 1: representing the total cost function -- 2.1.2 Task 2: plotting the total cost function -- 2.1.3 Task 3: finding the best decision -- 2.2 A little background -- 2.2.1 Real vs. integer numbers -- 2.2.2 Intervals on the real line -- 2.2.3 The sum notation -- 2.2.4 Permutations and combinations -- 2.3 Functions -- 2.3.1 Linear functions -- 2.3.2 Polynomial functions -- 2.3.3 Rational functions -- 2.3.4 Exponential functions -- 2.4 Continuous functions -- 2.5 Composite functions -- 2.6 Inverse functions -- 2.6.1 The logarithm -- 2.7 Derivatives -- 2.7.1 Definition of the derivative -- 2.7.2 Continuity and differentiability -- 2.8 Rules for calculating derivatives -- 2.8.1 Derivative of functions obtained by sum, multiplication, and division -- 2.8.2 Derivative of composite functions -- 2.8.3 Derivative of inverse functions -- 2.9 Using derivatives for graphing functions -- 2.10 Higher-order derivatives and Taylor expansions -- 2.10.1 Sensitivity analysis -- 2.11 Convexity and optimization.PPN: PPN: 807336122Package identifier: Produktsigel: ZDB-26-MYL | ZDB-30-PAD | ZDB-30-PBE | ZDB-30-PQE

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