Data Statistics And Decision Models With Excel Wave Site
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Data Statistics And Decision Models With Excel Wave Site
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Author : Adrian Harnett
language : en
Publisher:
Release Date : 1998-09-01
Data Statistics And Decision Models With Excel Wave Site written by Adrian Harnett and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1998-09-01 with categories.
Statistics Data Analysis And Decision Modeling
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Author : James Robert Evans
language : en
Publisher:
Release Date : 2003
Statistics Data Analysis And Decision Modeling written by James Robert Evans and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2003 with Business & Economics categories.
This book covers basic concepts of business statistics, data analysis, and management science in a spreadsheet environment. Practical applications are emphasized throughout the book for business decision-making; a comprehensive database is developed, with marketing, financial, and production data already formatted on Excel worksheets. This shows how real data is used and decisions are made. Using Excel as the basic software, and including such add-ins as PHStat2, Crystal Ball, and TreePlan, this book covers a wide variety of topics related to business statistics: statistical thinking in business; displaying and summarizing data; random variables; sampling; regression analysis; forecasting; statistical quality control; risk analysis and Monte-Carlo simulation; systems simulation modeling and analysis; selection models and decision analysis; optimization modeling; and solving and analyzing optimization models. For those employed in the fields of quality control, management science, operations management, statistical science, and those who need to interpret data to make informed business decisions.
Location Theory And Decision Analysis
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Author : Yupo Chan
language : en
Publisher: Springer Science & Business Media
Release Date : 2011-08-26
Location Theory And Decision Analysis written by Yupo Chan 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 2011-08-26 with Technology & Engineering categories.
Employing state-of-the art quantitative models and case studies, Location Theory and Decision Analysis provides the methodologies behind the siting of such facilities as transportation terminals, warehouses, housing, landfills, state parks and industrial plants. Through its extensive methodological review, the book serves as a primer for more advanced texts on spatial analysis, including the monograph on Location, Transport and Land-Use by the same author. Given the rapid changes over the last decade, the Second Edition includes new analytic contributions as well as software survey of analytics and spatial information technology. While the First Edition served the professional community well, the Second Edition has substantially expanded its emphasis for classroom use of the volume. Extensive pedagogic materials have been added, going from the fundamental principles to open-ended exercises, including solutions to selected problems. The text is of value to engineering and business programs that offer courses in Decision and Risk Analysis, Muticriteria Decision-Making, and Facility Location and Layout. It should also be of interest to public policy programs that use geographic Information Systems and satellite imagery to support their analyses.
Decision Support Systems
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Author : Chiang Jao
language : en
Publisher: BoD – Books on Demand
Release Date : 2010-01-01
Decision Support Systems written by Chiang Jao and has been published by BoD – Books on Demand this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-01-01 with Computers categories.
Decision support systems (DSS) have evolved over the past four decades from theoretical concepts into real world computerized applications. DSS architecture contains three key components: knowledge base, computerized model, and user interface. DSS simulate cognitive decision-making functions of humans based on artificial intelligence methodologies (including expert systems, data mining, machine learning, connectionism, logistical reasoning, etc.) in order to perform decision support functions. The applications of DSS cover many domains, ranging from aviation monitoring, transportation safety, clinical diagnosis, weather forecast, business management to internet search strategy. By combining knowledge bases with inference rules, DSS are able to provide suggestions to end users to improve decisions and outcomes. This book is written as a textbook so that it can be used in formal courses examining decision support systems. It may be used by both undergraduate and graduate students from diverse computer-related fields. It will also be of value to established professionals as a text for self-study or for reference.
Traditional And Data Driven Predictive Statistical Models
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Author : Dr. Neeta Kishor Dhane
language : en
Publisher: Laxmi Book Publication
Release Date : 2021-07-23
Traditional And Data Driven Predictive Statistical Models written by Dr. Neeta Kishor Dhane and has been published by Laxmi Book Publication this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-07-23 with Art categories.
The desire to know the unknown has always been one of the human characteristics that distinguish humans from other living things on the earth. The past is known but cannot be changed, and hence is if no interest. The present is happening and everyone is witnessing it and therefore it is not exciting. But the future is both unknown and perhaps therefore uncertain, and is therefore both interesting and exciting. Using past experience for predicting the unknown future was initially treated as an art because it require careful choice of parts of the past that will make prediction both easy and accurate, and there were times when it was felt that it is impossible to formulate a method for this. Prediction was then not considered to be scientific empirical sciences that learn from scientist and professionals realized the scientific nature of the ability to predict. What then began as the preparation for developing a prediction formula involved finding common patterns in past data and their consequences so that the consequence can be predicted as soon as the relevant pattern is observed. At the same time the discipline of statistics developed the concept and methodology for building statistical models. With experience in the development and applications of different models, scientists and researchers identify models as belonging to four different classes namely, the class of descriptive models, the class of diagnostic models, the class of predictive models, and the class of prescriptive or prognostic models. The scientific or theoretical activity of building models and analyzing data accordingly is known as analytics. It has therefore been recognized that there are four classes of analytics, namely descriptive analytics, diagnostic analytics, prescriptive analytics and predictive analytics. These four classes are defined briefly for convenience of the reader.
Decision Support System
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Author : Mr. Rohit Manglik
language : en
Publisher: EduGorilla Publication
Release Date : 2023-06-23
Decision Support System written by Mr. Rohit Manglik and has been published by EduGorilla Publication this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-06-23 with Technology & Engineering categories.
Introduces systems for aiding decision-making, integrating data analysis and modeling for informed choices.
Financial Modeling With Crystal Ball And Excel Website
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Author : John Charnes
language : en
Publisher: John Wiley & Sons
Release Date : 2012-06-05
Financial Modeling With Crystal Ball And Excel Website written by John Charnes 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 2012-06-05 with Business & Economics categories.
Updated look at financial modeling and Monte Carlo simulation with software by Oracle Crystal Ball This revised and updated edition of the bestselling book on financial modeling provides the tools and techniques needed to perform spreadsheet simulation. It answers the essential question of why risk analysis is vital to the decision-making process, for any problem posed in finance and investment. This reliable resource reviews the basics and covers how to define and refine probability distributions in financial modeling, and explores the concepts driving the simulation modeling process. It also discusses simulation controls and analysis of simulation results. The second edition of Financial Modeling with Crystal Ball and Excel contains instructions, theory, and practical example models to help apply risk analysis to such areas as derivative pricing, cost estimation, portfolio allocation and optimization, credit risk, and cash flow analysis. It includes the resources needed to develop essential skills in the areas of valuation, pricing, hedging, trading, risk management, project evaluation, credit risk, and portfolio management. Offers an updated edition of the bestselling book covering the newest version of Oracle Crystal Ball Contains valuable insights on Monte Carlo simulation—an essential skill applied by many corporate finance and investment professionals Written by John Charnes, the former finance department chair at the University of Kansas and senior vice president of global portfolio strategies at Bank of America, who is currently President and Chief Data Scientist at Syntelli Solutions, Inc. Risk Analytics and Predictive Intelligence Division (Syntelli RAPID) Engaging and informative, this book is a vital resource designed to help you become more adept at financial modeling and simulation.
Data Guided Healthcare Decision Making
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Author : Ramalingam Shanmugam
language : en
Publisher: Cambridge University Press
Release Date : 2023-06-22
Data Guided Healthcare Decision Making written by Ramalingam Shanmugam and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-06-22 with Medical categories.
This book effectively exposes and illustrates the ideas and tools for optimal healthcare decisions taken from evidence.
Web Based Services Concepts Methodologies Tools And Applications
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Author : Management Association, Information Resources
language : en
Publisher: IGI Global
Release Date : 2015-11-09
Web Based Services Concepts Methodologies Tools And Applications written by Management Association, Information Resources and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-11-09 with Computers categories.
The recent explosion of digital media, online networking, and e-commerce has generated great new opportunities for those Internet-savvy individuals who see potential in new technologies and can turn those possibilities into reality. It is vital for such forward-thinking innovators to stay abreast of all the latest technologies. Web-Based Services: Concepts, Methodologies, Tools, and Applications provides readers with comprehensive coverage of some of the latest tools and technologies in the digital industry. The chapters in this multi-volume book describe a diverse range of applications and methodologies made possible in a world connected by the global network, providing researchers, computer scientists, web developers, and digital experts with the latest knowledge and developments in Internet technologies.
Mastering Statistical Analysis With Excel
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Author : Prof Dr Balasubramanian Thiagarajan
language : en
Publisher: Otolaryngology online
Release Date :
Mastering Statistical Analysis With Excel written by Prof Dr Balasubramanian Thiagarajan and has been published by Otolaryngology online this book supported file pdf, txt, epub, kindle and other format this book has been release on with Computers categories.
In today’s data-driven world, the ability to analyze and interpret data has become an essential skill for individuals and organizations alike. Statistical analysis, which involves using mathematical methods to analyze and draw conclusions from data, is one of the most powerful tools available for this purpose. While statistical analysis can be performed using various software programs, Microsoft Excel remains one of the most widely used tools for data analysis. Its user-friendly interface, versatile features, and widespread availability make it a popular choice for data analysis, especially for those who are new to statistical analysis. This book, “Mastering Statistical Analysis Using Excel,” is designed to provide readers with a comprehensive guide to using Excel for statistical analysis. Whether you are a beginner or an experienced user of Excel, this book will help you master the fundamentals of statistical analysis and learn how to use Excel to perform a wide range of statistical analyses. The book is organized into chapters that cover different statistical techniques, starting with basic descriptive statistics and progressing to more advanced techniques such as hypothesis testing, regression analysis, and ANOVA. Each chapter includes clear explanations of the concepts, step-by-step instructions for performing the analysis in Excel, and examples to illustrate how to apply the techniques to real-world data. Throughout the book, we focus on practical applications of statistical analysis, with a particular emphasis on using Excel to solve real-world problems. We also include tips and tricks for optimizing your use of Excel, including keyboard shortcuts, Excel functions, and add-ins that can help streamline your analysis. We believe that this book will be a valuable resource for anyone looking to improve their skills in statistical analysis using Excel. Whether you are a student, a business professional, or a researcher, the techniques and tools covered in this book will help you gain valuable insights from your data and make informed decisions based on your findings.