Quantitative Business Analysis

Quantitative Business Analysis
Author: Samuel E. Bodily
Publisher: Irwin Professional Publishing
Total Pages: 0
Release: 1998
Genre: Decision making
ISBN: 9780256147131

Download Quantitative Business Analysis Book in PDF, Epub and Kindle

Quantitative Business Analysis

Quantitative Business Analysis
Author: Ron Davis
Publisher:
Total Pages: 190
Release: 2015-05-06
Genre: Business & Economics
ISBN: 9781516550098

Download Quantitative Business Analysis Book in PDF, Epub and Kindle

Quantitative Business Analysis is designed for a one semester introductory course in management science that is an undergraduate core requirement in the business curriculum at San Jose State University. The principal topics covered are network models, linear programming, decision analysis, and PERT Monte Carlo simulation. It could also be used in an MBA curriculum. With outstanding video Excel demos that show spreadsheet developments for topics in the book, the text enables students to dive into practical examples using advanced algorithms. With specifics examples like the correct beta shape parameter formulas for use with PERT Monte Carlo simulation analysis, the accompanying videos are an amazing resource. A unique feature of the book is the presentation an of the correct beta shape parameter formulas for use with PERT Monte Carlo simulation analysis. The beta shape parameter formulas are currently not available in any other management science text since they have only recently appeared in the open literature.

Economic and Business Analysis

Economic and Business Analysis
Author: Frank S. T. Hsiao
Publisher: World Scientific
Total Pages: 671
Release: 2011
Genre: Business & Economics
ISBN: 9812834923

Download Economic and Business Analysis Book in PDF, Epub and Kindle

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.

Quantitative Business Analysis Casebook

Quantitative Business Analysis Casebook
Author: Samuel E. Bodily
Publisher: McGraw-Hill/Irwin
Total Pages: 308
Release: 1996
Genre: Business & Economics
ISBN: 9780256147148

Download Quantitative Business Analysis Casebook Book in PDF, Epub and Kindle

Designed for MBA courses, this casebook contains cases covering managerial uses of quantitative techniques, foe example: decision analysis, probability, competitive analysis, regressions, forecasting, linear programming and extensions.

Quantitative Methods

Quantitative Methods
Author: Paolo Brandimarte
Publisher: John Wiley & Sons
Total Pages: 812
Release: 2012-01-03
Genre: Mathematics
ISBN: 111802348X

Download Quantitative Methods Book in PDF, Epub and Kindle

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.

Analysing Quantitative Survey Data for Business and Management Students

Analysing Quantitative Survey Data for Business and Management Students
Author: Jeremy Dawson
Publisher: SAGE
Total Pages: 128
Release: 2016-11-10
Genre: Business & Economics
ISBN: 1473952832

Download Analysing Quantitative Survey Data for Business and Management Students Book in PDF, Epub and Kindle

In Analysing Quantitative Survey Data, Jeremy Dawson introduces you to the key elements of analysing quantitative survey data using classical test theory, the measurement theory that underlies the techniques described in the book. The methodological assumptions, basic components and strengths and limitations of this analysis are explained and with the help of illustrative examples, you are guided through how to conduct the key procedures involved, including reliability analysis, exploratory and confirmatory factor analysis. Ideal for Business and Management students reading for a Master’s degree, each book in the series may also serve as reference books for doctoral students and faculty members interested in the method. Part of SAGE’s Mastering Business Research Methods series, conceived and edited by Bill Lee, Mark N. K. Saunders and Vadake K. Narayanan and designed to support researchers by providing in-depth and practical guidance on using a chosen method of data collection or analysis.

Ebook: Quantitative Business Analysis

Ebook: Quantitative Business Analysis
Author: DEWHURST;
Publisher: McGraw Hill
Total Pages: 493
Release: 2014-08-16
Genre: Business & Economics
ISBN: 0077170164

Download Ebook: Quantitative Business Analysis Book in PDF, Epub and Kindle

Ebook: Quantitative Business Analysis

EBOOK: Quantitative Methods for Business and Management

EBOOK: Quantitative Methods for Business and Management
Author: Frank Dewhurst
Publisher: McGraw Hill
Total Pages: 608
Release: 2006-03-16
Genre: Business & Economics
ISBN: 0077118820

Download EBOOK: Quantitative Methods for Business and Management Book in PDF, Epub and Kindle

The new edition of Quantitative Methods for Business and Management offers a complete introductory course in Quantitative Methods, providing students with basic practical experience in quantitative approaches in modelling and analysis for business and management. The book features sections on foundation topics, models for business and management, and modelling and analyzing decisions. In particular, the new edition features greater coverage of statistics to reflect teaching in this area, with chapters on Elementary Statistics, Summary Statistics and Inferential Statistics. Other new areas of coverage in the second edition include Network Models and Non-linear Models. The book retains its popular style which offers students numerous examples accompanied by clear and straightforward explanations. Excel examples are also integrated throughout to help students to understand how this software tool is used by managers, and frequent questions and exercises enable students to test their understanding. A free CD contains Excel applications and solutions to the exercises in the textbook, and a full online learning centre completes an excellent learning package for business students.

Quantitative Analysis and IBM® SPSS® Statistics

Quantitative Analysis and IBM® SPSS® Statistics
Author: Abdulkader Aljandali
Publisher: Springer
Total Pages: 190
Release: 2016-11-08
Genre: Business & Economics
ISBN: 3319455281

Download Quantitative Analysis and IBM® SPSS® Statistics Book in PDF, Epub and Kindle

This guide is for practicing statisticians and data scientists who use IBM SPSS for statistical analysis of big data in business and finance. This is the first of a two-part guide to SPSS for Windows, introducing data entry into SPSS, along with elementary statistical and graphical methods for summarizing and presenting data. Part I also covers the rudiments of hypothesis testing and business forecasting while Part II will present multivariate statistical methods, more advanced forecasting methods, and multivariate methods. IBM SPSS Statistics offers a powerful set of statistical and information analysis systems that run on a wide variety of personal computers. The software is built around routines that have been developed, tested, and widely used for more than 20 years. As such, IBM SPSS Statistics is extensively used in industry, commerce, banking, local and national governments, and education. Just a small subset of users of the package include the major clearing banks, the BBC, British Gas, British Airways, British Telecom, the Consumer Association, Eurotunnel, GSK, TfL, the NHS, Shell, Unilever, and W.H.S. Although the emphasis in this guide is on applications of IBM SPSS Statistics, there is a need for users to be aware of the statistical assumptions and rationales underpinning correct and meaningful application of the techniques available in the package; therefore, such assumptions are discussed, and methods of assessing their validity are described. Also presented is the logic underlying the computation of the more commonly used test statistics in the area of hypothesis testing. Mathematical background is kept to a minimum.

Analysing Quantitative Data for Business and Management Students

Analysing Quantitative Data for Business and Management Students
Author: Charles Scherbaum
Publisher: SAGE
Total Pages: 296
Release: 2015-02-12
Genre: Business & Economics
ISBN: 1473917425

Download Analysing Quantitative Data for Business and Management Students Book in PDF, Epub and Kindle

In Analysing Quantitative Data, Charles A. Scherbaum and Kristen M. Shockley guide the reader through Understanding Quantitative Data Analysis, Basic Components of Quantitative Data Analysis, Conducting Quantitative Data Analysis, Examples of Quantitative Data Analysis and Conclusions. An appendix contains Excel Formulas. Ideal for Business and Management students reading for a Master’s degree, each book in the series may also serve as reference books for doctoral students and faculty members interested in the method. Part of SAGE’s Mastering Business Research Methods Series, conceived and edited by Bill Lee, Mark N. K. Saunders and Vadake K. Narayanan and designed to support researchers by providing in-depth and practical guidance on using a chosen method of data collection or analysis.