Ebook Analytical Models For Decision Making
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Ebook Analytical Models For Decision Making
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Author : Colin Sanderson
language : en
Publisher: McGraw-Hill Education (UK)
Release Date : 2006-03-16
Ebook Analytical Models For Decision Making written by Colin Sanderson and has been published by McGraw-Hill Education (UK) this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006-03-16 with Medical categories.
Health care systems are complex and, as a result, it is often unclear what the effects of changes in policy or service provision might be. At the same time, resources for health care tend to be in short supply, which means that public health practitioners have to make difficult decisions. This book describes the quantitative and qualitative methods that can help decision-makers to structure and clarify difficult problems and to explore the implications of pursuing different options. The accompanying CD ROM provides the opportunity to try out some of the proposed solutions. The book examines: Models and decision-making in health care Methods for clarifying complex decisions Models for service planning and resource allocation Modelling for evaluating changes in systems Series Editors: Rosalind Plowman and Nicki Thorogood.
Systems Models For Decision Making
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Author : Nawaz Sharif
language : en
Publisher: Pergamon
Release Date : 1978
Systems Models For Decision Making written by Nawaz Sharif and has been published by Pergamon this book supported file pdf, txt, epub, kindle and other format this book has been release on 1978 with Business & Economics categories.
Data Driven Decision Making Using Analytics
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Author : Parul Gandhi
language : en
Publisher: CRC Press
Release Date : 2021-12-21
Data Driven Decision Making Using Analytics written by Parul Gandhi and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-12-21 with Computers categories.
This book aims to explain Data Analytics towards decision making in terms of models and algorithms, theoretical concepts, applications, experiments in relevant domains or focused on specific issues. It explores the concepts of database technology, machine learning, knowledge-based system, high performance computing, information retrieval, finding patterns hidden in large datasets and data visualization. Also, it presents various paradigms including pattern mining, clustering, classification, and data analysis. Overall aim is to provide technical solutions in the field of data analytics and data mining. Features: Covers descriptive statistics with respect to predictive analytics and business analytics. Discusses different data analytics platforms for real-time applications. Explain SMART business models. Includes algorithms in data sciences alongwith automated methods and models. Explores varied challenges encountered by researchers and businesses in the realm of real-time analytics. This book aims at researchers and graduate students in data analytics, data sciences, data mining, and signal processing.
Business Analytics For Decision Making
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Author : Steven Orla Kimbrough
language : en
Publisher: CRC Press
Release Date : 2018-09-03
Business Analytics For Decision Making written by Steven Orla Kimbrough and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-09-03 with Business & Economics categories.
Business Analytics for Decision Making, the first complete text suitable for use in introductory Business Analytics courses, establishes a national syllabus for an emerging first course at an MBA or upper undergraduate level. This timely text is mainly about model analytics, particularly analytics for constrained optimization. It uses implementations that allow students to explore models and data for the sake of discovery, understanding, and decision making. Business analytics is about using data and models to solve various kinds of decision problems. There are three aspects for those who want to make the most of their analytics: encoding, solution design, and post-solution analysis. This textbook addresses all three. Emphasizing the use of constrained optimization models for decision making, the book concentrates on post-solution analysis of models. The text focuses on computationally challenging problems that commonly arise in business environments. Unique among business analytics texts, it emphasizes using heuristics for solving difficult optimization problems important in business practice by making best use of methods from Computer Science and Operations Research. Furthermore, case studies and examples illustrate the real-world applications of these methods. The authors supply examples in Excel®, GAMS, MATLAB®, and OPL. The metaheuristics code is also made available at the book's website in a documented library of Python modules, along with data and material for homework exercises. From the beginning, the authors emphasize analytics and de-emphasize representation and encoding so students will have plenty to sink their teeth into regardless of their computer programming experience.
The Seven Rules For Building Effective Analytical Models For Decisions
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Author : Frank Tillman
language : en
Publisher: Htx, Incorporated
Release Date : 2016-04-13
The Seven Rules For Building Effective Analytical Models For Decisions written by Frank Tillman and has been published by Htx, Incorporated this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-04-13 with categories.
Through years of consulting, operating their own companies, and working in a number of corporate environments, the authors have developed insights into which methods work and which do not in the "real world." The result of this experience is the development of these fundamental rules for building analysis models to solve complex corporate problems. This book describes some common-sense principles that can be used to ensure that the models and solutions that are developed meet the decision maker's needs. These principles will help you avoid mistakes and help you develop better usable solutions.
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.
Business Analytics
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Author : Amar Sahay
language : en
Publisher:
Release Date : 2019-11-08
Business Analytics written by Amar Sahay and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-11-08 with Business & Economics categories.
This business analytics (BA) text discusses the models based on fact-based data to measure past business performance to guide an organization in visualizing and predicting future business performance and outcomes. It provides a comprehensive overview of analytics in general with an emphasis on predictive analytics. Given the booming interest in analytics and data science, this book is timely and informative. It brings many terms, tools, and methods of analytics together. The first three chapters provide an introduction to BA, importance of analytics, types of BA-descriptive, predictive, and prescriptive-along with the tools and models. Business intelligence (BI) and a case on descriptive analytics are discussed. Additionally, the book discusses on the most widely used predictive models, including regression analysis, forecasting, data mining, and an introduction to recent applications of predictive analytics-machine learning, neural networks, and artificial intelligence. The concluding chapter discusses on the current state, job outlook, and certifications in analytics.
Business Analytics Data Analysis Decision Making
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Author : S. Christian Albright
language : en
Publisher: Cengage Learning
Release Date : 2014-02-28
Business Analytics Data Analysis Decision Making written by S. Christian Albright and has been published by Cengage Learning this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-02-28 with Business & Economics categories.
Become a master of data analysis, modeling, and spreadsheet use with BUSINESS ANALYTICS: DATA ANALYSIS AND DECISION MAKING, 5E! This quantitative methods text provides users with the tools to succeed with a teach-by-example approach, student-friendly writing style, and complete Excel 2013 integration. It is also compatible with Excel 2010 and 2007. Problem sets and cases provide realistic examples to show the relevance of the material. The Companion Website includes: the Palisade DecisionTools Suite (@RISK, StatTools, PrecisionTree, TopRank, RISKOptimizer, NeuralTools, and Evolver); SolverTable, which allows you to do sensitivity analysis; data and solutions files, PowerPoint slides, and tutorial videos. Important Notice: Media content referenced within the product description or the product text may not be available in the ebook version.
Model Building For Decision Analysis
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Author : Patrick Rivett
language : en
Publisher: John Wiley & Sons
Release Date : 1980
Model Building For Decision Analysis written by Patrick Rivett 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 1980 with Business & Economics categories.
Good,No Highlights,No Markup,all pages are intact, Slight Shelfwear,may have the corners slightly dented, may have slight color changes/slightly damaged spine.
Management Decision Making Big Data And Analytics
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Author : Simone Gressel
language : en
Publisher: SAGE
Release Date : 2020-10-12
Management Decision Making Big Data And Analytics written by Simone Gressel and has been published by SAGE this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-10-12 with Business & Economics categories.
Accessible and concise, this exciting new textbook examines data analytics from a managerial and organizational perspective and looks at how they can help managers become more effective decision-makers. The book successfully combines theory with practical application, featuring case studies, examples and a ‘critical incidents’ feature that make these topics engaging and relevant for students of business and management. The book features chapters on cutting-edge topics, including: • Big data • Analytics • Managing emerging technologies and decision-making • Managing the ethics, security, privacy and legal aspects of data-driven decision-making The book is accompanied by an Instructor’s Manual, PowerPoint slides and access to journal articles. Suitable for management students studying business analytics and decision-making at undergraduate, postgraduate and MBA levels.