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Author: Les Oakshott Publisher: Red Globe Press ISBN: 9781137518552 Category : Business & Economics Languages : en Pages : 0
Book Description
This concise and accessible textbook covers all of the key quantitative methods needed to solve everyday business problems. Les Oakshott’s clear and friendly writing style guides students from basic statistics, through to advanced topics, such as hypothesis testing and time series, as well as operational research techniques such as linear programming and inventory management. Step-by-step instructions and accompanying activities will help students to practice and gain confidence in carrying out techniques. The book’s coverage is fully grounded within the real world of business. Real-life case studies open every chapter and numerous examples throughout demonstrate why quantitative techniques are needed for a business to be successful. An ideal textbook for undergraduate students of business, management and finance, it is also widely used by MBA students and postgraduates.
Author: Les Oakshott Publisher: Red Globe Press ISBN: 9781137518552 Category : Business & Economics Languages : en Pages : 0
Book Description
This concise and accessible textbook covers all of the key quantitative methods needed to solve everyday business problems. Les Oakshott’s clear and friendly writing style guides students from basic statistics, through to advanced topics, such as hypothesis testing and time series, as well as operational research techniques such as linear programming and inventory management. Step-by-step instructions and accompanying activities will help students to practice and gain confidence in carrying out techniques. The book’s coverage is fully grounded within the real world of business. Real-life case studies open every chapter and numerous examples throughout demonstrate why quantitative techniques are needed for a business to be successful. An ideal textbook for undergraduate students of business, management and finance, it is also widely used by MBA students and postgraduates.
Author: Louise Swift Publisher: Bloomsbury Publishing ISBN: 1350305456 Category : Business & Economics Languages : en Pages : 727
Book Description
The new edition of this highly successful and popular textbook is a comprehensive, easy-to-follow guide to using and interpreting all the quantitative techniques that students will encounter in their later business and financial careers; from fundamental principles through to more advanced applications. Topics are explained in a clear, friendly step-by-step style, accompanied by examples, exercises and activities, making the text ideal for self-tuition or for the student with no experience or confidence in working with numbers. This highly successful learning-by-doing approach, coupled with the book's clear structure, will enable even the most maths-phobic student to understand these essential mathematical skills. Comprehensive in both its scope of coverage and the range of abilities it caters for, this remains a core textbook for undergraduate students of business, management and finance, for whom Quantitative Methods modules will be a key component. It will also appeal to those on related MBA and postgraduate courses. New to this Edition: - Business Modelling 'Moving on...' feature with integrated web and book activities to promote student engagement with the application of mathematical techniques in real-life workplaces - Extensive revamp of two Statistics chapters based on student and lecturer feedback - Crucial updated practical guides to using Excel and SPSS - Integrated companion website resources helps relate theory to real world examples
Author: Paolo Brandimarte Publisher: John Wiley & Sons ISBN: 9781118023488 Category : Mathematics Languages : en Pages : 912
Book Description
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.
Author: Stuart A. McCrary Publisher: John Wiley & Sons ISBN: 0470393335 Category : Business & Economics Languages : en Pages : 194
Book Description
An essential guide to corporate finance Understanding corporate finance is a necessity for financial practitioners who struggle every day to find the right balance between maximizing corporate value and reducing a firm's financial risk. Divided into two comprehensive parts, Mastering Corporate Finance Essentials presents the material by example, using an extended scenario involving a new business formation. In Part One, present and future value mathematics are introduced followed by a number of applications using the tools. In Part Two, statistics as applied to finance are examined, with detailed discussions of standard deviations, correlations, and how they impact diversification. Through theory and real-world examples this book provides a solid grounding in corporate finance Other titles by Stuart McCrary include: Mastering Financial Accounting Essentials, How to Create and Manage a Hedge Fund, and Hedge Fund Course Covers the essential elements of this field, from traditional capital budgeting concepts and methods of valuing investment projects under uncertainty to the importance of "real-options" in the decision-making process This reliable resource offers a hands-on approach to corporate finance that will allow you to gain a solid understanding of this discipline.
Author: Miguel Ángel Canela Publisher: Springer ISBN: 3030175545 Category : Business & Economics Languages : en Pages : 144
Book Description
This book focuses on the use of quantitative methods for both business and management, helping readers understand the most relevant quantitative methods for managerial decision-making. Pursuing a highly practical approach, the book reduces the theoretical information to a minimum, so as to give full prominence to the analysis of real business problems. Each chapter includes a brief theoretical explanation, followed by a real-life managerial case that needs to be solved, which is accompanied by a corresponding Microsoft Excel® dataset. The practical cases and exercises are solved using Excel, and for each problem, the authors provide an Excel file with the complete solution and corresponding calculations, which can be downloaded easily from the book’s website. Further, in an appendix, readers can find solutions to the same problems, but using the R statistical language. The book represents a valuable reference guide for postgraduate, MBA and executive education students, as it offers a hands-on, practical approach to learning quantitative methods in a managerial context. It will also be of interest to managers looking for a practical and straightforward way to learn about quantitative methods and improve their decision-making processes.
Author: John Teall Publisher: John Wiley & Sons ISBN: 1405141840 Category : Business & Economics Languages : en Pages : 296
Book Description
Quantitative Methods for Finance and Investments ensures that readers come away from reading it with a reasonable degree of comfort and proficiency in applying elementary mathematics to several types of financial analysis. All of the methodology in this book is geared toward the development, implementation, and analysis of financial models to solve financial problems.
Author: Les Oakshott Publisher: Palgrave Macmillan ISBN: 9781403949912 Category : Business & Economics Languages : en Pages : 512
Book Description
A concise, accessible, comprehensive introduction to quantitative techniques emphasizing business relevance and discussing the challenges of problem-solving in the real world. Written for a diverse range of abilities, coverage includes chapters on revision mathematics, investment appraisal, decision-making and simulation. Excel and SPSS are integrated throughout.
Author: Louise Swift Publisher: Bloomsbury Publishing ISBN: 113733794X Category : Business & Economics Languages : en Pages : 728
Book Description
The new edition of this highly successful and popular textbook is a comprehensive, easy-to-follow guide to using and interpreting all the quantitative techniques that students will encounter in their later business and financial careers; from fundamental principles through to more advanced applications. Topics are explained in a clear, friendly step-by-step style, accompanied by examples, exercises and activities, making the text ideal for self-tuition or for the student with no experience or confidence in working with numbers. This highly successful learning-by-doing approach, coupled with the book's clear structure, will enable even the most maths-phobic student to understand these essential mathematical skills. Comprehensive in both its scope of coverage and the range of abilities it caters for, this remains a core textbook for undergraduate students of business, management and finance, for whom Quantitative Methods modules will be a key component. It will also appeal to those on related MBA and postgraduate courses. New to this Edition: - Business Modelling 'Moving on...' feature with integrated web and book activities to promote student engagement with the application of mathematical techniques in real-life workplaces - Extensive revamp of two Statistics chapters based on student and lecturer feedback - Crucial updated practical guides to using Excel and SPSS - Integrated companion website resources helps relate theory to real world examples Accompanying online resources for this title can be found at bloomsburyonlineresources.com/quantitative-methods-4e. These resources are designed to support teaching and learning when using this textbook and are available at no extra cost.
Author: Les Oakshott
Author: Les Oakshott
Author: Louise Swift
Author: Paolo Brandimarte
Author: Stuart A. McCrary
Author: Les Oakshott
Author: Miguel Ángel Canela
Author: John Teall
Author: Les Oakshott
Author: Bharat Kolluri
Author: Louise Swift