Quantitative Analysis For Decision Makers
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Quantitative Methods For Decision Makers
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Author : Mik Wisniewski
language : en
Publisher: Pearson Education
Release Date : 2009
Quantitative Methods For Decision Makers written by Mik Wisniewski and has been published by Pearson Education this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009 with Business & Economics categories.
Quantitative Methods for Decision Makers covers everything you need to know for an introductory quantitative methods course. Relating techniques directly to real-life business decisions in private and public sector organisations, it is particularly well-suited to MBA students who will be applying quantitative methods in day-to-day managerial decision-making.
Quantitative Analysis For Decision Makers
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Author : Mik Wisniewski
language : en
Publisher:
Release Date : 2025
Quantitative Analysis For Decision Makers written by Mik Wisniewski and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025 with Business & Economics categories.
"Quantitative Analysis for Decision Makers, 8th Edition, by Wisniewski, Shafti and Yeo answers the quintessential question that lies at the heart of every manager's role: deciding what to do and how to do it. It provides an accessible introduction to quantitative methods of analysis to management decision-making by relating techniques directly to real-life business decisions in public and private sector organisations. Suitable for students on introductory-level courses as well as MBA and postgraduate courses, this internationally popular text focuses on the practical application of the techniques rather than on mechanical calculation. The use of real data sets helps you understand that in the real world such analysis is often time-consuming and messy, but nevertheless essential for effective decision making. The new edition offers: Updated case illustrations from global business organisations as well as the public sector. Extended discussion of how artifi cial intelligence (AI) impacts on quantitative analysis and decision making. 'QADM in action' case studies illustrating how organisations benefi t from the use of analytical techniques in the real world. Coverage of recent developments such as Big Data and business analytics; developments in multi-criteria decision analysis and data mining; agent-based simulation; data visualisation. Fully worked examples and exercises supported by Excel data sets to show how to approach a particular problem using the techniques"-- Provided by publisher.
Quantitative Analysis For Decision Makers 7th Edition Formally Known As Quantitative Methods For Decision Makers
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Author : Mik Wisniewski
language : en
Publisher: Pearson UK
Release Date : 2019-05-12
Quantitative Analysis For Decision Makers 7th Edition Formally Known As Quantitative Methods For Decision Makers written by Mik Wisniewski and has been published by Pearson UK this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-05-12 with Business & Economics categories.
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
Quantitative Techniques For Decision Making
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Author : GUPTA, M. P.
language : en
Publisher: PHI Learning Pvt. Ltd.
Release Date : 2011-02
Quantitative Techniques For Decision Making written by GUPTA, M. P. and has been published by PHI Learning Pvt. Ltd. this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-02 with Business & Economics categories.
This thoroughly revised and well-received book, now in its Fourth Edition, continues to give an in-depth and incisive analysis of the various mathematical techniques required for managers in their decision-making process. The book provides a clear understanding of the practical utility of mathematical modelling and techniques, such as linear programming, integer programming, goal programming, dynamic programming, inventory models, decision theory, game theory, network analysis, queuing, simulation and Markov analysis, for solving real-life problems. The book lays emphasis on the practical applications of the techniques rather than their rigorous mathematical treatment. It also discusses probability and probability distributions—essential to tackling the everyday uncertainties of life. The book is primarily intended as a textbook for undergraduate and postgraduate students of management, postgraduate students of commerce, students of Master of Financial Control (MFC) course, and undergraduate students of industrial and production engineering. In addition, practising managers will also find the book immensely helpful in their day-to-day decision-making process. New to This Edition : A section describing the construction of activity on node (AON) networks for CPM and PERT networks has been included considering that most software designed for network analysis plot networks in this format. An appendix on ‘Mathematics for Managers’ which includes the topics of Matrix Algebra and Differential Calculus. New solved and unsolved problems. The book is recommended by AICTE for PGDM course. The link is www.aicte-india.org/modelsyllabus.php
Quantitative Analysis For Management
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Author : Render
language : en
Publisher: Pearson Education India
Release Date : 2008-02
Quantitative Analysis For Management written by Render and has been published by Pearson Education India this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-02 with categories.
Quantitative Methods
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Author : Paolo Brandimarte
language : en
Publisher: John Wiley & Sons
Release Date : 2012-01-03
Quantitative Methods written by Paolo Brandimarte and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-01-03 with Mathematics categories.
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.
Network Meta Analysis For Decision Making
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Author : Sofia Dias
language : en
Publisher: John Wiley & Sons
Release Date : 2018-03-19
Network Meta Analysis For Decision Making written by Sofia Dias and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-03-19 with Mathematics categories.
A practical guide to network meta-analysis with examples and code In the evaluation of healthcare, rigorous methods of quantitative assessment are necessary to establish which interventions are effective and cost-effective. Often a single study will not provide the answers and it is desirable to synthesise evidence from multiple sources, usually randomised controlled trials. This book takes an approach to evidence synthesis that is specifically intended for decision making when there are two or more treatment alternatives being evaluated, and assumes that the purpose of every synthesis is to answer the question "for this pre-identified population of patients, which treatment is 'best'?" A comprehensive, coherent framework for network meta-analysis (mixed treatment comparisons) is adopted and estimated using Bayesian Markov Chain Monte Carlo methods implemented in the freely available software WinBUGS. Each chapter contains worked examples, exercises, solutions and code that may be adapted by readers to apply to their own analyses. This book can be used as an introduction to evidence synthesis and network meta-analysis, its key properties and policy implications. Examples and advanced methods are also presented for the more experienced reader. Methods used throughout this book can be applied consistently: model critique and checking for evidence consistency are emphasised. Methods are based on technical support documents produced for NICE Decision Support Unit, which support the NICE Methods of Technology Appraisal. Code presented is also the basis for the code used by the ISPOR Task Force on Indirect Comparisons. Includes extensive carefully worked examples, with thorough explanations of how to set out data for use in WinBUGS and how to interpret the output. Network Meta-Analysis for Decision Making will be of interest to decision makers, medical statisticians, health economists, and anyone involved in Health Technology Assessment including the pharmaceutical industry.
Decision Analysis For Managers
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Author : David Charlesworth
language : en
Publisher:
Release Date : 2013
Decision Analysis For Managers written by David Charlesworth and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013 with Decision making categories.
Everybody has to make decisions - they are unavoidable. Yet we receive little or no education or training on how to make decisions. Business decisions can be difficult; personal decisions even more so. Even if you make the correct business decision, you still have to get buy-in and commitment from your team, other management, and key stakeholders to implement it; when making personal decisions, one has to take into account one's spouse or family or friends in order for the decision to fully succeed. The goal of Decision Analysis for Managers is to: âe¢ Clarify and reach alignment on goals and objectives and understand trade-offs in reaching those goals, âe¢ Develop and examine alternatives, âe¢ Systematically analyze the effects of risk and uncertainty, and âe¢ Maximize the chances of achieving your goals and objectives.
Quantitative Risk Management And Decision Making In Construction
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Author : Amarjit Singh
language : en
Publisher: ASCE Press
Release Date : 2017
Quantitative Risk Management And Decision Making In Construction written by Amarjit Singh and has been published by ASCE Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017 with Construction industry categories.
Singh introduces valuable techniques for weighing and evaluating alternatives in decision making with a focus on risk analysis for identifying, quantifying, and mitigating risks associated with construction projects.
Military Operations Research
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Author : N.K. Jaiswal
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06
Military Operations Research written by N.K. Jaiswal and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-06 with Business & Economics categories.
Operations Research (OR) emerged in an effort to improve the effectiveness of newly inducted weapons and equipment during World War II. While rapid growth ofOR led to its becoming an important aid to decision making in all sectors including defense, its contribution in defense remained largely confined to classified reports. Very few books dealing with applications of quantitative decision making techniques in military have been published presumably due to limited availability ofrelevant information. The situation changed rapidly during the last few years. The recognition of the subject of Military Operations Research (MOR) gave tremendous boost to its development. Books and journals on MOR started appearing. The number of sessions on MOR at national and international conferences also registered an increase. The volume of teaching, training and research activities in the field of MOR at military schools and non-military schools enhanced considerably. Military executives and commanders started taking increasing interest in getting scientific answers to questions pertaining to weapon acquisition, threat perception and quantification, assessment of damage or casualties, evaluation of chance of winning a battle, force mix, deployment and targeting of weapons against enemy targets, war games and scenario evaluation. Most of these problems were being tackled on the basis of intuition, judgment and experience or analysis under very simple assumptions. In an increasingly sophisticated and complex defense scenario resulting in advances in equipment and communications, the need for supplementing these practices by scientific research in MOR became imperative.