Mik Wisniewski – författare

This book shows how mathematics is used in developing economic theory and in applied economic analysis. The text gradually develops the mathematical skills needed by students and allows them to progress at their own pace. A wide variety of examples shows how, and why, the application of mathematics has become essential to economists.Accompanying online resources for this title can be found at bloomsburyonlineresources.com/mathematics-for-economics. These resources are designed to support teaching and learning when using this textbook and are available at no extra cost.

Students of business and management are expected to have basic numerical skills from GCSE maths. Often, these skills are forgotten in the two years or so between GCSE maths and the commencement of a degree. The aim of this text is to help students bridge the gap between school and university and to ensure that not only are the appropriate quantitative skills developed, but also that the student develops an understanding of the role of QM in a modern business environment. The text uses diagrams, illustrations and graphs from the real world to illustrate the application of techniques. Examples of output from common business software (Lotus, SuperCalc, Minitab etc) are included.

Aimed at final year undergraduate students, this is the first volume to publish in a new series of text covering core subjects in operational research in an accessible student-friendly format. This volume presents simulation paired with inventory control. The Operational Research Series aims to provide a new generation of European-originated texts of practical relevance to todays student. To guarantee accessibility, the texts are concise and have a non-mathematical orientation. These texts will provide students with the grounding in operational research theory they need to become the innovators of tomorrow.This is one of the first volumes in a new series of textbooks in operational research. The key objectives of the series are to provide concise introductions to the core topics in operational research focusing on the practical relevance of those topics to today's students and taking a non-mathematical orientation in favour of software applications.Each core subject will be paired with another core subject in order to provide maximum value for money for students.

Aimed at final year undergraduate students, this is the first volume to publish in a new series of text covering core subjects in operational research in an accessible student-friendly format. This volume presents simulation paired with inventory control. The Operational Research Series aims to provide a new generation of European-originated texts of practical relevance to todays student. To guarantee accessibility, the texts are concise and have a non-mathematical orientation. These texts will provide students with the grounding in operational research theory they need to become the innovators of tomorrow.This is one of the first volumes in a new series of textbooks in operational research. The key objectives of the series are to provide concise introductions to the core topics in operational research focusing on the practical relevance of those topics to today's students and taking a non-mathematical orientation in favour of software applications.Each core subject will be paired with another core subject in order to provide maximum value for money for students.

This book shows how mathematics is used in developing economic theory and in applied economic analysis. The text gradually develops the mathematical skills needed by students and allows them to progress at their own pace. A wide variety of examples shows how, and why, the application of mathematics has become essential to economists.

Were you looking for the book with access to MyLab Math Global? This product is the book alone and does NOT come with access to MyLab Math Global. Students, if MyLab Math Global is a recommended/mandatory component of the course, please ask your instructor for the correct ISBN and course ID. MyLab Math Global should only be purchased when required by an instructor. Instructors, contact your Pearson representative for more information.

 

There's no doubt that a manager's job is getting tougher. Do it better, do it faster, do it cheaper are the pressures every manager faces. And at the heart of every manager's job is decision-making: deciding what to do and how to do it. This well-respected text looks at how quantitative analysis techniques can be used effectively to support such decision making.

 

As a manager, developing a good understanding of the quantitative analysis techniques at your disposal is crucial. Knowing how, and when, to use them and what their results really mean can be the difference between making a good or bad decision and, ultimately, between business success and failure.

 

Appealing both to students on introductory-level courses and to MBA and postgraduate students, this internationally successful text provides an accessible introduction to a subject area that students often find difficult. Quantitative Analysis for Decision Makers (formerly known as Quantitative Methods for Decision Makers) helps students to understand the relevance of quantitative methods of analysis to management decision-making by relating techniques directly to real-life business decisions in public and private sector organisations and focuses on developing appropriate skills and understanding of how the techniques fit into the wider management process.

 

Key features:

The use of real data sets to show how analytical techniques are used in practice “QADM in Action” case studies illustrating how organisations benefit from the use of analytical techniques Articles from the Financial Times illustrating the use of such techniques in a variety of business settings Fully worked examples and exercises supported by Excel data sets Student Progress Check activities in each chapter with solutions A 300+ page Tutors Solutions Manual

 

There''s no doubt that a manager''s job is getting tougher. Do it better, do it faster, do it cheaper are the pressures every manager faces. And at the heart of every manager''s job is decision-making: deciding what to do and how to do it. This well-respected text looks at how quantitative analysis techniques can be used effectively to support such decision making. As a manager, developing a good understanding of the quantitative analysis techniques at your disposal is crucial. Knowing how, and when, to use them and what their results really mean can be the difference between making a good or bad decision and, ultimately, between business success and failure. Appealing both to students on introductory-level courses and to MBA and postgraduate students, this internationally successful text provides an accessible introduction to a subject area that students often find difficult. Quantitative Analysis for Decision Makers (formerly known as Quantitative Methods for Decision Makers) helps students to understand the relevance of quantitative methods of analysis to management decision-making by relating techniques directly to real-life business decisions in public and private sector organisations and focuses on developing appropriate skills and understanding of how the techniques fit into the wider management process.

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This package includes a physical copy of Quantitative Analysis for Decision Makers, 7th edition by Mik Wisniewski & Farhad Shafti as well as access to the eText and MyLab Math Global. To access the eText and MyLab Math Global you need a course ID from your instructor. If you are only looking for the book you will need to purchase the following ISBN: 9781292276618

Help your students understand how quantitative analysis supports effective management decision-making in today's fast-moving world Quantitative Analysis for Decision Makers, 8th Edition, by Wisniewski, Shafti and Yeo provides an accessible introduction to the quantitative methods of analysis that are routinely used across the public and private sectors to support effective management decision making. Adopting a learning-by-doing approach throughout, the text provides a clear explanation of each technique illustrating their practical application with the use of real data sets and with examples from government bodies and prominent businesses, including Google, Marks & Spencer, Tesla, Netflix, WWF and many more. The text is suitable for business and management undergraduate and postgraduate students and for MBA students taking a quantitative course as part of their studies. The new edition offers: Updated case illustrations from global business organisations like Tesla, Netflix, WWF, Google, Unilever Extended discussion of how artificial intelligence (AI) impacts on quantitative analysis and decision making. Updated a QADM in action case studies illustrating how organisations benefit from the use of analytical techniques in the real world. Coverage of recent developments such as Big Data and business analytics; multi-criteria decision analysis and data mining; agent-based simulation; data visualisation. Examples and cases have been updated to reflect global events such as the Covid pandemic and geopolitical uncertainties. Fully worked examples and exercises supported by Excel data sets to show how to approach a particular problem using the techniques About the authors: Mik Wisniewski has almost five decades of experience in Quantitative Analysis. He has taught at a number of leading universities, worked in both industry and government and has extensive consultancy experience in the UK and across Europe, Africa, the Middle East and Asia. Dr Farhad Shafti is a senior academic with expertise in Management Science. He has extensive experience teaching in highly ranked universities, covering undergraduate, postgraduate and MBA studies in the UK and overseas. Dr Wee Meng Yeo is a senior lecturer at Adam Smith Business School, Glasgow. He has considerable expertise in the areas of operations management, forecasting and inventory control and has worked in the UK and the Far East. Pearson, the world's learning company.

Help your students understand how quantitative analysis supports effective management decision-making in today's fast-moving world

Quantitative Analysis for Decision Makers, 8th Edition, by Wisniewski, Shafti and Yeo provides an accessible introduction to the quantitative methods of analysis that are routinely used across the public and private sectors to support effective management decision making.

Adopting a learning-by-doing approach throughout, the text provides a clear explanation of each technique illustrating their practical application with the use of real data sets and with examples from government bodies and prominent businesses, including Google, Marks & Spencer, Tesla, Netflix, WWF and many more.

The text is suitable for business and management undergraduate and postgraduate students and for MBA students taking a quantitative course as part of their studies.

The new edition offers:

Updated case illustrations from global business organisations like Tesla, Netflix, WWF, Google, Unilever Extended discussion of how artificial intelligence (AI) impacts on quantitative analysis and decision making. Updated ‘QADM in action’ case studies illustrating how organisations benefit from the use of analytical techniques in the real world. Coverage of recent developments such as Big Data and business analytics; multi-criteria decision analysis and data mining; agent-based simulation; data visualisation. Examples and cases have been updated to reflect global events such as the Covid pandemic and geopolitical uncertainties. Fully worked examples and exercises supported by Excel data sets to show how to approach a particular problem using the techniques

About the authors:

Mik Wisniewski has almost five decades of experience in Quantitative Analysis. He has taught at a number of leading universities, worked in both industry and government and has extensive consultancy experience in the UK and across Europe, Africa, the Middle East and Asia.

Dr Farhad Shafti is a senior academic with expertise in Management Science. He has extensive experience teaching in highly ranked universities, covering undergraduate, postgraduate and MBA studies in the UK and overseas.

Dr Wee Meng Yeo is a senior lecturer at Adam Smith Business School, Glasgow. He has considerable expertise in the areas of operations management, forecasting and inventory control and has worked in the UK and the Far East.

Pearson, the world's learning company.

Aimed at final year undergraduate students, this is the first volume to publish in a new series of text covering core subjects in operational research in an accessible student-friendly format. This volume presents simulation paired with inventory control. The Operational Research Series aims to provide a new generation of European-originated texts of practical relevance to todays student. To guarantee accessibility, the texts are concise and have a non-mathematical orientation. These texts will provide students with the grounding in operational research theory they need to become the innovators of tomorrow.This is one of the first volumes in a new series of textbooks in operational research. The key objectives of the series are to provide concise introductions to the core topics in operational research focusing on the practical relevance of those topics to today''s students and taking a non-mathematical orientation in favour of software applications.Each core subject will be paired with another core subject in order to provide maximum value for money for students.