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This Value Pack consists of Quantitative Methods for Business and Economics, 2/e by Burton/Carroll/Wall; Economics for Business and Management: A Student Text, 1/e by Griffiths/Wall and The Business Student's Handbook: Skills for Study and Employment, 4/e; 1/e (ISBN: 9781405886895)
This book provides a brief yet rigorous introduction to various quantitative methods used in economic decision-making. It has no prerequisites other than high school algebra. The book begins with matrix algebra and calculus, which are then used in the book's core modes. Once the reader grasps matrix theory and calculus, the quantitative models can be understood easily, and for each model there are many solved examples related to business and economic applications.
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 as principal component analysis, factor analysis, and cluster analysis. The book promotes the importance of an analytical approach, particularly when dealing with a complex system where multiple individuals are involved and have conflicting incentives. A related website features Microsoft Excel® workbooks and MATLAB® scripts to illustrate concepts as well as additional exercises with solutions. Quantitative Methods is an excellent book for courses on the topic at the graduate level. The book also serves as an authoritative reference and self-study guide for financial and business professionals, as well as readers looking to reinforce their analytical skills.
As we enter the 21st century, most students are familiar with microcomputers. They are adept in visually-oriented playing and learning, as evidenced by prevalent video games, music videos, and DVD movies. This book appeals to the modern day undergraduate and graduate students by using microcomputers, through innovative uses of spreadsheets and built-in spreadsheets equations and formulae. This microcomputer skill-intensive book covers major topics in both economic analysis and business analysis. Students will learn how to build complex spreadsheet layouts and perform high-level calculations and analysis intuitively in a non-threatening environment. To encourage students' active learning and critical thinking, they will be given hands-on practice by creating tables and graphs presented in the text and homework, and by changing the parameters to find the effects of the change instantly. At the same time, by acquainting themselves with the popular spreadsheet program, they will acquire more advanced job skills directly.
This book is a collection of papers for the Special Issue “Quantitative Methods for Economics and Finance” of the journal Mathematics. This Special Issue reflects on the latest developments in different fields of economics and finance where mathematics plays a significant role. The book gathers 19 papers on topics such as volatility clusters and volatility dynamic, forecasting, stocks, indexes, cryptocurrencies and commodities, trade agreements, the relationship between volume and price, trading strategies, efficiency, regression, utility models, fraud prediction, or intertemporal choice.
This text is a brief introduction to various quantitative methods used in economic decision making, including input-output, inventory control and Markhov chains. It provides basic models that can be utilized to solve real-world problems.
Quantitative Methods for Business: The A-Z of QM will enable readers to: *Appreciate the significance of quantitative methods for businesses and the study of business *Understand and apply a wide range of quantitative techniques *Select appropriate quantitative techniques for data analysis, problem solving and decision making *Interpret and communicate the results of quantitative analysis
Provides students with all the tools they need to pass the typical Quantitative Methods course. This title includes chapters that focus on a selection of statistical techniques, illustrated with examples from across business, marketing, economics, finance, and public administration, that may appeal to students across the business spectrum.
In a world in which we are constantly surrounded by data, figures, and statistics, it is imperative to understand and to be able to use quantitative methods. Statistical models and methods are among the most important tools in economic analysis, decision-making and business planning. This textbook, “Exploratory Data Analysis in Business and Economics”, aims to familiarise students of economics and business as well as practitioners in firms with the basic principles, techniques, and applications of descriptive statistics and data analysis. Drawing on practical examples from business settings, it demonstrates the basic descriptive methods of univariate and bivariate analysis. The textbook covers a range of subject matter, from data collection and scaling to the presentation and univariate analysis of quantitative data, and also includes analytic procedures for assessing bivariate relationships. It does not confine itself to presenting descriptive statistics, but also addresses the use of computer programmes such as Excel, SPSS, and STATA, thus treating all of the topics typically covered in a university course on descriptive statistics. The German edition of this textbook is one of the “bestsellers” on the German market for literature in statistics.