Quantitative Methods For Business

Autor: David R. Anderson
Publisher: Cengage Learning
ISBN: 1305480562
File Size: 62,22 MB
Format: PDF, Mobi
Read: 9506
Download or Read Book
Written with the non-mathematician in mind, QUANTITATIVE METHODS FOR BUSINESS, 13E by award-winning authors Anderson, Sweeney, Williams, Camm, Cochran, Fry, and Ohlmann equips your students with a strong conceptual understanding of the critical role that quantitative methods play in today's decision-making process. This applications-oriented text clearly introduces current quantitative methods, how they work, and how savvy decision makers can most effectively apply and interpret data. A strong managerial orientation motivates learning by weaving relevant, real-world examples throughout. The authors' hallmark Problem-Scenario Approach helps readers understand and apply mathematical concepts and techniques. The 13th Edition includes a more holistic description of how variable activity times affect the probability of a project meeting a deadline. In addition, numerous all-new Q.M. in Action vignettes, homework problems, and end-of-chapter cases are included. Important Notice: Media content referenced within the product description or the product text may not be available in the ebook version.

Quantitative Methods

Autor: Paolo Brandimarte
Publisher: John Wiley & Sons
ISBN: 9781118023488
File Size: 46,21 MB
Format: PDF
Read: 4149
Download or Read Book
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.

Quantitative Methods For Business Decisions

Autor: Jon Curwin
Publisher: Cengage Learning EMEA
ISBN: 9781844805747
File Size: 71,90 MB
Format: PDF, ePub, Docs
Read: 6057
Download or Read Book
Now entering its 6th edition Quantitative Methods for Business Decisions is regarded as one of the clearest, most accurate and comprehensive European textbooks in its field. Each chapter focuses on a selection of statistical techniques, illustrated with examples from across business, marketing, economics, accounting, finance, and public administration, to appeal to students across the business spectrum.Using a rigorous exercise-based approach this title provides in-depth guidance on how to apply the most widely-used statistical methods in business. The extensive coverage provided makes this text suitable for the teaching of quantitative methods across all business disciplines at undergraduate level and MBA courses.

Quantitative Methods For Business And Economics

Autor: Glyn Burton
Publisher: Pearson Education
ISBN: 9780273655701
File Size: 68,12 MB
Format: PDF, Mobi
Read: 9347
Download or Read Book
Using real-world examples, the authors clearly demonstrate how quantitative techniques can be applied to business and economics situations. The text is supported by a teacher resource pack that includes a data disk.

Quantitative Methods For Business

Autor: John Buglear
Publisher: Routledge
ISBN: 1136370153
File Size: 69,63 MB
Format: PDF, ePub, Mobi
Read: 9477
Download or Read Book
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

Introduction To Quantitative Methods In Business

Autor: Bharat Kolluri
Publisher: John Wiley & Sons
ISBN: 1119220971
File Size: 58,20 MB
Format: PDF
Read: 1312
Download or Read Book
A well-balanced and accessible introduction to the elementary quantitative methods and Microsoft® Office Excel® applications used to guide business decision making Featuring quantitative techniques essential for modeling modern business situations, Introduction to Quantitative Methods in Business: With Applications Using Microsoft® Office Excel® provides guidance to assessing real-world data sets using Excel. The book presents a balanced approach to the mathematical tools and techniques with applications used in the areas of business, finance, economics, marketing, and operations. The authors begin by establishing a solid foundation of basic mathematics and statistics before moving on to more advanced concepts. The first part of the book starts by developing basic quantitative techniques such as arithmetic operations, functions and graphs, and elementary differentiations (rates of change), and integration. After a review of these techniques, the second part details both linear and nonlinear models of business activity. Extensively classroom-tested, Introduction to Quantitative Methods in Business: With Applications Using Microsoft® Office Excel® also includes: Numerous examples and practice problems that emphasize real-world business quantitative techniques and applications Excel-based computer software routines that explore calculations for an assortment of tasks, including graphing, formula usage, solving equations, and data analysis End-of-chapter sections detailing the Excel applications and techniques used to address data and solutions using large data sets A companion website that includes chapter summaries, Excel data sets, sample exams and quizzes, lecture slides, and an Instructors’ Solutions Manual Introduction to Quantitative Methods in Business: With Applications Using Microsoft® Office Excel® is an excellent textbook for undergraduate-level courses on quantitative methods in business, economics, finance, marketing, operations, and statistics. The book is also an ideal reference for readers with little or no quantitative background who require a better understanding of basic mathematical and statistical concepts used in economics and business. Bharat Kolluri, Ph.D., is Professor of Economics in the Department of Economics, Finance, and Insurance at the University of Hartford. A member of the American Economics Association, his research interests include econometrics, business statistics, quantitative decision making, applied macroeconomics, applied microeconomics, and corporate finance. Michael J. Panik, Ph.D., is Professor Emeritus in the Department of Economics, Finance, and Insurance at the University of Hartford. He has served as a consultant to the Connecticut Department of Motor Vehicles as well as to a variety of health care organizations. In addition, Dr. Panik is the author of numerous books, including Growth Curve Modeling: Theory and Applications and Statistical Inference: A Short Course, both published by Wiley. Rao N. Singamsetti, Ph.D., is Associate Professor in the Department of Economics, Finance, and Insurance at the University of Hartford. A member of the American Economics Association, his research interests include the status of war on poverty in the United States since the 1960s and forecasting foreign exchange rates using econometric methods.

Quantitative Methods

Autor: Louise Swift
Publisher: Macmillan International Higher Education
ISBN: 1137337966
File Size: 48,44 MB
Format: PDF, ePub, Mobi
Read: 1366
Download or Read Book
Businesses are built on numbers; in any organization the ability to use and interpret quantitative methods is vital to maintaining a competitive edge. Quantitative Methods for Business, Management and Finance is a comprehensive, easy-to-follow guide to the subject, painlessly leading you from fundamental principles to more advanced applications. It is an essential text for undergraduate students of business, management and finance, as well as for those on MBA and postgraduate courses. Each topic is explained in a clear, friendly style, and accompanied by examples, exercises and activities, making the text ideal for self-tuition. This highly successful learning-by-doing approach, coupled with the book's clear structure, make the understanding of essential mathematical skills achievable - and even enjoyable! Key benefits: • From basics to business modelling: maths revision through to probability, statistics and more, all in one text • Suitable for all maths backgrounds – an optional introductory part teaches mathematical essentials from scratch • Refreshingly non-technical writing style – user-friendly and engaging, avoiding excessive theory • Practical guidance on using IBM SPSS and Microsoft Excel • Brand new 'Moving on...' feature with integrated web and book activities for Business Modelling chapters, relating theory to the real world The companion website offers lecturers a testbank, PowerPoint slides, and assessment solutions. Students will find multiple choice practice questions, data sets, and extra exercises. LOUISE SWIFT taught quantitative methods to students of business, management and finance for over ten years at the University of East Anglia, UK, where she now works as a statistician. SALLY PIFF is Lecturer in Quantitative Methods at Norwich Business School, University of East Anglia, UK.

Quantitative Methods For Business

Autor: C. Donald J. Waters
Publisher: Financial Times/Prentice Hall
ISBN: 9780273739470
File Size: 40,87 MB
Format: PDF, ePub, Mobi
Read: 5324
Download or Read Book
Taking a non-threatening, non-theoretical approach to a subject students often find difficult, this book avoids rigorous mathematics and concentrates on applying quantitative ideas to the work situation.

Essential Quantitative Methods

Autor: Les Oakshott
Publisher: Macmillan International Higher Education
ISBN: 1137518561
File Size: 70,62 MB
Format: PDF, Mobi
Read: 4887
Download or Read Book
The new edition of this accessible textbook provides ideal introductory coverage of quantitative methods. It offers real world business examples and case studies to illustrate problem-solving in empirical situations. Student learning is comprehensively supported by extensive online resources.