With its application-oriented approach, the fifth EMEA edition of Statistics for Business and Economics teaches students the core concepts of statistics in the fields of business, management, and economics, with the needs of the non-mathematician in mind.

The authors interweave statistical methodology with applications of data analysis to enrich students’ understanding of how statistics underpin problem-solving and decision-making. Students develop a computational foundation and learn to use various techniques before moving on to statistical application and interpretation.

At the end of each section, exercises focus on computation and the use of formulas, while application exercises require students to apply what they have learnt to real-world problems.

Business Cases from South African Companies is an engaging collection of case studies dealing with real-life businesses.

Written by business owners, the stories are unique and inspiring to students, practitioners and would-be entrepreneurs.

Owners, entrepreneurs and corporates (from SMMEs to larger companies) share their frustrations, successes, and challenges on starting and running successful businesses.

This book introduces the fundamentals of financial mathematics.

It begins with a discussion of simple and compound interest and then establishes the important concepts of effective and equivalent effective interest rates. Subsequent chapters discuss the applications of annuities to practical problems regarding the saving of money and repayment of loans. The notion of using net present value and internal rate of return to distinguish between two different investment opportunities is presented.

The concluding chapters of the book take a brief look at the use of differential and integral calculus in financial mathematics. Each chapter includes numerous worked examples that are solved with the aid of a financial calculator where applicable.

Essential Mathematics for Economics and Business is established as one of the leading introductory textbooks on mathematics for students of business and economics. Combining a user friendly approach to mathematics with practical applications to the subjects, the text provides students with a clear and comprehensible guide to mathematics. The fundamental mathematical concepts are explained in a simple and accessible style, using a wide selection of worked examples, progress exercises and real world applications. New to this Edition * Fully updated text with revised worked examples and updated material on Excel and Powerpoint * New exercises in mathematics and its applications to give further clarity and practice opportunities * Fully updated online material including animations and a new test bank * The fourth edition is supported by a companion website at www.wiley.com/college/bradley, which contains: Animations of selected worked examples providing students with a new way of understanding the problems Access to the Maple T.A. test bank, which features over 500 algorithmic questions Further learning material, applications, exercises and solutions. * Problems in context studies, which present the mathematics in a business or economics framework. * Updated PowerPoint slides, Excel problems and solutions. "The text is aimed at providing an introductory-level exposition of mathematical methods for economics and business students. In terms of level, pace, complexity of examples and user-friendly style the text is excellent - it genuinely recognises and meets the needs of students with minimal maths background." Colin Glass, Emeritus Professor, University of Ulster "One of the major strengths of this book is the range of exercises in both drill and applications. Also the 'worked examples' are excellent; they provide examples of the use of mathematics to realistic problems and are easy to follow." Donal Hurley, formerly of University College Cork "The most comprehensive reader in this topic yet, this book is an essential aid to the avid economist who loathes mathematics!" Amazon.co.uk

Learn the principles of MIS as you explore the latest developments and industry trends with MIS 10. This practically focused approach helps you master foundational MIS concepts that will guide your career.

You examine the latest topics, such as cloud computing, AR/VR, quantum computing and blockchain, with the most current MIS title on the market. Have you ever wondered what you would have done as a company leader in a critical moment? With this edition's MindTap digital experience, you can strengthen your decision-making skills with "YouDecide" -- new interactive case studies that bridge technology and business strategy and position you as the decision maker. You can also examine possible career paths with new career connection videos.

Delve deeper into key course concepts with new concept videos and foundational case studies. In addition, MindTap's RSS feeds alert you to the latest advancements and trends for a stronger focus on today's real business world.

Business Statistics using Excel offers an excellent and helpful introduction to business statistics for students who require a first course, providing all of the explanation, tools, and skills which are required in order to master the subject matter. Thorough, clear and accessible, the text guides students in a progressive, step-by-step manner through the theoretical concepts and techniques, and supports understanding by providing extensive examples from a South African context. The text assumes no prior knowledge of the subject, and includes refresher chapters on numerical skills and Microsoft Excel. This text is eminently suitable as a first course in statistics for students who are studying the subject as a module within any business-related programme of study.

Many of the technological and managerial challenges of operating in the international environment are being addressed through global IT applications at the functional level of the organization. Global Information Systems and Technology: Focus on the Organization and Its Functional Areas provides a forum for identifying the specific impacts of IT in each of these areas and for understanding how the various challenges and solutions in the functional areas are being integrated via information technology. With a total of 27 chapters, this book examines several functional areas -- marketing, financial services, accounting, manufacturing and logistics, research and development, human resources -- all within the context of today's international business enterprise.

Generalized Method of Moments (GMM) has become one of the main statistical tools for the analysis of economic and financial data. This book is the first to provide an intuitive introduction to the method combined with a unified treatment of GMM statistical theory and a survey of recent important developments in the field. Providing a comprehensive treatment of GMM estimation and inference, it is designed as a resource for both the theory and practice of GMM: it discusses and proves formally all the main statistical results, and illustrates all inference techniques using empirical examples in macroeconomics and finance. Building from the instrumental variables estimator in static linear models, it presents the asymptotic statistical theory of GMM in nonlinear dynamic models. Within this framework it covers classical results on estimation and inference techniques, such as the overidentifying restrictions test and tests of structural stability, and reviews the finite sample performance of these inference methods. And it discusses in detail recent developments on covariance matrix estimation, the impact of model misspecification, moment selection, the use of the bootstrap, and weak instrument asymptotics.

The Business Analysts completely dissolves the perception that the IT industry dictates to businesses what IT systems they will use and dispels the myth that business users and IT technicians are from different planets. It suggests how to create an environment in which everybody works together in an exciting and refreshing way – a paradigm shift in the way business analysis projects are done.

The IT industry has to move to a point where it realises that the users of IT systems and the technical personnel are both equally responsible for getting the system to work. The users of the IT system should be an integral part of the team when the system is being put together. This, unfortunately, is not the norm within the industry. It is the business analyst’s responsibility, among others, to make sure that communication flows freely between all the parties involved.

This book gives the business analyst the tools and techniques to find out what the business users of IT systems really need and to guide the project to meet those needs.

This worldwide best-selling business statistics text emphasizes applications over calculation. MANAGERIAL STATISTICS, 8e, International Editon demonstrates how vital statistical methods are for today's managers and economists--and teaches students how to apply these tools to real business problems. Through the author's unique three-step "ICI" approach to problem solving, students learn to IDENTIFY the correct statistical technique by focusing on the problem objective and data type, then COMPUTE the statistics (doing them by hand, using Excel (R), or using MINITAB (TM)), and ultimately INTERPRET results in the context of the problem. This approach enhances student comprehension and skills while offering you maximum flexibility. Incorporating various functional areas of business, data-driven examples, exercises, and cases demonstrate statistical applications used by marketing managers, financial analysts, accountants, economists, and others, giving students the hands-on practice they need, while sound pedagogical elements make the material accessible to undergrads. In addition, unique teaching and learning resources such as CengageNOW save time while giving you more control and better student outcomes. The eighth edition also includes Excel (R) 2007 and MINITAB 15 (TM) content.

Elements of Numerical Mathematical Economics with Excel: Static and Dynamic Optimization shows readers how to apply static and dynamic optimization theory in an easy and practical manner, without requiring the mastery of specific programming languages that are often difficult and expensive to learn. Featuring user-friendly numerical discrete calculations developed within the Excel worksheets, the book includes key examples and economic applications solved step-by-step and then replicated in Excel. After introducing the fundamental tools of mathematical economics, the book explores the classical static optimization theory of linear and nonlinear programming, applying the core concepts of microeconomics and some portfolio theory. This provides a background for the more challenging worksheet applications of the dynamic optimization theory. The book also covers special complementary topics such as inventory modelling, data analysis for business and economics, and the essential elements of Monte Carlo analysis. Practical and accessible, Elements of Numerical Mathematical Economics with Excel: Static and Dynamic Optimization increases the computing power of economists worldwide. This book is accompanied by a companion website that includes Excel examples presented in the book, exercises, and other supplementary materials that will further assist in understanding this useful framework.

Statistical Modeling using Local Gaussian Approximation extends powerful characteristics of the Gaussian distribution, perhaps, the most well-known and most used distribution in statistics, to a large class of non-Gaussian and nonlinear situations through local approximation. This extension enables the reader to follow new methods in assessing dependence and conditional dependence, in estimating probability and spectral density functions, and in discrimination. Chapters in this release cover Parametric, nonparametric, locally parametric, Dependence, Local Gaussian correlation and dependence, Local Gaussian correlation and the copula, Applications in finance, and more. Additional chapters explores Measuring dependence and testing for independence, Time series dependence and spectral analysis, Multivariate density estimation, Conditional density estimation, The local Gaussian partial correlation, Regression and conditional regression quantiles, and a A local Gaussian Fisher discriminant.

Flexible Bayesian Regression Modeling is a step-by-step guide to the Bayesian revolution in regression modeling, for use in advanced econometric and statistical analysis where datasets are characterized by complexity, multiplicity, and large sample sizes, necessitating the need for considerable flexibility in modeling techniques. It reviews three forms of flexibility: methods which provide flexibility in their error distribution; methods which model non-central parts of the distribution (such as quantile regression); and finally models that allow the mean function to be flexible (such as spline models). Each chapter discusses the key aspects of fitting a regression model. R programs accompany the methods. This book is particularly relevant to non-specialist practitioners with intermediate mathematical training seeking to apply Bayesian approaches in economics, biology, finance, engineering and medicine.

"Pragmatic Enterprise Architecture" is a practical hands-on instruction manual for enterprise architects. This book prepares you to better engage IT, management, and business users by equipping you with the tools and knowledge you need to address the most common enterprise architecture challenges. You will come away with a pragmatic understanding of and approach to enterprise architecture and actionable ideas to transform your enterprise. Experienced enterprise architect James V. Luisi generously shares life cycle architectures, transaction path analysis frameworks, and more so you can save time, energy, and resources on your next big project.

As an enterprise architect, you must have relatable frameworks and excellent communication skills to do your job. You must actively engage and support a large enterprise involving a hundred architectural disciplines with a modest number of subject matter experts across business, information systems, control systems, and operations architecture. They must achieve their mission using the influence of ideas and business benefits expressed in simple terms so that any audience can understand what to do and why. "Pragmatic Enterprise Architecture "gives you the tools to accomplish your goals in less time with fewer resources.
Expand your Enterprise Architecture skills so you can do more in less time with less money with the priceless tips presentedUnderstand the cost of creating new Enterprise Architecture disciplines and contrast those costs to letting them go unmanagedIncludes 10 life cycle architectures so that you can properly assess the ROI of performing activities such as outsourcing, insourcing, restructuring, mergers and acquisitions, and moreComplete appendix of eight transaction path analysis frameworks provide DBA guidelines for proper physical database design

In a world where we are constantly being asked to make decisions based on incomplete information, facility with basic probability is an essential skill. This book provides a solid foundation in basic probability theory designed for intellectually curious readers and those new to the subject. Through its conversational tone and careful pacing of mathematical development, the book balances a charming style with informative discussion. This text will immerse the reader in a mathematical view of the world, giving them a glimpse into what attracts mathematicians to the subject in the first place. Rather than simply writing out and memorizing formulas, the reader will come out with an understanding of what those formulas mean, and how and when to use them. Readers will also encounter settings where probabilistic reasoning does not apply or where intuition can be misleading. This book establishes simple principles of counting collections and sequences of alternatives, and elaborates on these techniques to solve real world problems both inside and outside the casino. Pair this book with the HarvardX online course for great videos and interactive learning: https://harvardx.link/fat-chance.

Throughout the world, artificial intelligence is reshaping businesses, trade interfaces, economic activities, and society as a whole. In recent years, scholarly research on artificial intelligence has emerged from a variety of empirical and applied domains of knowledge. Computer scientists have developed advanced deep learning algorithms to leverage its utility in a variety of fields such as medicine, energy, travel, education, banking, and business management. Although a growing body of literature is shedding light on artificial intelligence-enabled difficulties, there is still much to be gained by applying fresh theory-driven techniques to this vital topic. Revolutionizing Business Practices Through Artificial Intelligence and Data-Rich Environments provides a comprehensive understanding of the business systems, platforms, procedures, and mechanisms that underpin different stakeholders' experiences with reality-enhancing technologies and their transformative application in management. The book also identifies areas in various business processes where artificial intelligence intervention would not only transform the business but would also make the business more sustainable. Covering key topics such as blockchain, business automation, and manufacturing, this reference work is ideal for computer scientists, business owners, managers, industry professionals, researchers, academicians, scholars, practitioners, instructors, and students.

Dishonesty in Behavioral Economics provides a rigorous and comprehensive overview of dishonesty, presenting state-of-the-art research that adopts a behavioral economics perspective. Throughout the volume, contributors emphasize the effects of psychological, social, and cognitive factors on the decision-making process. In contrast to related titles, Dishonesty in Behavioral Economics emphasizes the importance of empirical research methodologies. Its contributors demonstrate how various methods applied to similar research questions can lead to different results. This characteristic is important because, of course, it is difficult to obtain reliable measures of dishonesty.

Introductory Mathematics and Statistics sixth revised edition is the only Australian text that covers the basics of mathematics with full statistical coverage. Croucher demonstrates the relevance of mathematics and statistics in making decisions in day-to-day commercial situations. Numerous contemporary examples and pictorial presentations of data are provided to illustrate real world application of statistics. The content has been thoroughly revised and updated in 2016 to provide modern data and a detailed description of difficult concepts. Introductory Mathematics and Statistics 6e revised provides an effective grounding of mathematical and statistical methods.

Applied Macroeconomics for Public Policy applies system and control theory approaches to macroeconomic problems. The book shows how to build simple and efficient macroeconomic models for policy analysis. By using these models, instead of complex multi-criteria models with uncertain parameters, readers will gain new certainty in macroeconomic decision-making. As high debt to GDP ratios cause problems in societies, this book provides insights on improving economies during and after economic downturns.

The Easy Introduction to Machine Learning (Ml) for Nontechnical People--In Business and Beyond Artificial Intelligence for Business is your plain-English guide to Artificial Intelligence (AI) and Machine Learning (ML): how they work, what they can and cannot do, and how to start profiting from them. Writing for nontechnical executives and professionals, Doug Rose demystifies AI/ML technology with intuitive analogies and explanations honed through years of teaching and consulting. Rose explains everything from early "expert systems" to advanced deep learning networks. First, Rose explains how AI and ML emerged, exploring pivotal early ideas that continue to influence the field. Next, he deepens your understanding of key ML concepts, showing how machines can create strategies and learn from mistakes. Then, Rose introduces current powerful neural networks: systems inspired by the structure and function of the human brain. He concludes by introducing leading AI applications, from automated customer interactions to event prediction. Throughout, Rose stays focused on business: applying these technologies to leverage new opportunities and solve real problems. Compare the ways a machine can learn, and explore current leading ML algorithms Start with the right problems, and avoid common AI/ML project mistakes Use neural networks to automate decision-making and identify unexpected patterns Help neural networks learn more quickly and effectively Harness AI chatbots, virtual assistants, virtual agents, and conversational AI applications