Author: S. Albright,Wayne Winston,Christopher Zappe
Publisher: Cengage Learning
Category: Business & Economics
DATA ANALYSIS AND DECISION MAKING emphasizes data analysis, modeling, and spreadsheet use in statistics and management science. This text became a market leader in its first edition for its clarity of writing and teach-by-example approach, and it continues that tradition in this edition. Important Notice: Media content referenced within the product description or the product text may not be available in the ebook version.
Business & Economics by S. Christian Albright,Wayne L. Winston
Master data analysis, modeling, and spreadsheet use with BUSINESS ANALYTICS: DATA ANALYSIS AND DECISION MAKING, 6E! Popular with students, instructors, and practitioners, this quantitative methods text delivers the tools to succeed with its proven teach-by-example approach, user-friendly writing style, and complete Excel 2016 integration. It is also compatible with Excel 2013, 2010, and 2007. Completely rewritten, Chapter 17, Data Mining, and Chapter 18, Importing Data into Excel, include increased emphasis on the tools commonly included under the Business Analytics umbrella -- including Microsoft Excel’s “Power BI” suite. In addition, up-to-date problem sets and cases provide realistic examples to show the relevance of the material. Important Notice: Media content referenced within the product description or the product text may not be available in the ebook version.
Business & Economics by Samuel Christian Albright,Wayne L. Winston,Christopher J. Zappe
Author: Samuel Christian Albright,Wayne L. Winston,Christopher J. Zappe
Publisher: South-Western Pub
Category: Business & Economics
Master data analysis, modeling, and spreadsheet use with DATA ANALYSIS AND DECISION MAKING WITH MICROSOFT EXCEL! With a teach-by-example approach, student-friendly writing style, and complete Excel integration, this quantitative methods text provides you with the tools you need to succeed. Margin notes, boxed-in definitions and formulas in the text, enhanced explanations in the text itself, and stated objectives for the examples found throughout the text make studying easy. Problem sets and cases provide realistic examples that enable you to see the relevance of the material to your future as a business leader. The CD-ROMs packaged with every new book include the following add-ins: the Palisade Decision Tools Suite (@RISK, StatTools, PrecisionTree, TopRank, and RISKOptimizer); and SolverTable, which allows you to do sensitivity analysis. All of these add-ins have been revised for Excel 2007.
Fiduciary responsibilities and related court-imposed liabilities have forced investors to assess market conditions beyond gut level, resulting in the development of sophisticated decision-making tools. Roger Brown's use of historical real estate data enables him to develop tools for gauging the impact of circumstances on relative risk. His application of higher level statistical modeling to various aspects of real estate makes this book an essential partner in real estate research. Offering tools to enhance decision-making for consumers and researchers in market economies of any country interested in land use and real estate investment, his book will improve real estate market efficiency. With property the world's biggest asset class, timely data on housing prices just got easier to find and use. *Excellent mixture of theory and application *Data and database analysis techniques are the first of their kind *CDROM contains pre-written code for data analysis tailored specifically to real estate settings
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.
Mathematics by Ming-Hui Chen,Peter Müller,Dongchu Sun,Keying Ye,Dipak K. Dey
Author: Ming-Hui Chen,Peter Müller,Dongchu Sun,Keying Ye,Dipak K. Dey
Publisher: Springer Science & Business Media
Research in Bayesian analysis and statistical decision theory is rapidly expanding and diversifying, making it increasingly more difficult for any single researcher to stay up to date on all current research frontiers. This book provides a review of current research challenges and opportunities. While the book can not exhaustively cover all current research areas, it does include some exemplary discussion of most research frontiers. Topics include objective Bayesian inference, shrinkage estimation and other decision based estimation, model selection and testing, nonparametric Bayes, the interface of Bayesian and frequentist inference, data mining and machine learning, methods for categorical and spatio-temporal data analysis and posterior simulation methods. Several major application areas are covered: computer models, Bayesian clinical trial design, epidemiology, phylogenetics, bioinformatics, climate modeling and applications in political science, finance and marketing. As a review of current research in Bayesian analysis the book presents a balance between theory and applications. The lack of a clear demarcation between theoretical and applied research is a reflection of the highly interdisciplinary and often applied nature of research in Bayesian statistics. The book is intended as an update for researchers in Bayesian statistics, including non-statisticians who make use of Bayesian inference to address substantive research questions in other fields. It would also be useful for graduate students and research scholars in statistics or biostatistics who wish to acquaint themselves with current research frontiers.
Gain the competitive edge with the smart use of business analytics In today’s volatile business environment, the strategic use of business analytics is more important than ever. A Practitioners Guide to Business Analytics helps you get the organizational commitment you need to get business analytics up and running in your company. It provides solutions for meeting the strategic challenges of applying analytics, such as: Integrating analytics into decision making, corporate culture, and business strategy Leading and organizing analytics within the corporation Applying statistical qualifications, statistical diagnostics, and statistical review Providing effective building blocks to support analytics—statistical software, data collection, and data management Randy Bartlett, Ph.D., is Chief Statistical Officer of the consulting company Blue Sigma Analytics. He currently works with Infosys, where he has helped build their new Business Analytics practice.
The frequency distribution; Descriptive measures: ungrouped data; Descriptive measures: grouped data; The probability calculus; Bayes'rule - revision of probabilities in the light of new information; The concept of a discrete probability distribution: the binomial probability distribution; Bayes'rule revisted; Determination of an optimal decision rule - binomial sampling: a bayesin approach; The poisson and exponential distribution; The normal probability distribution: a continuous probability distribution; Sampling: the concept and the design; Estimation of a population parameter: the population mean; Estimation: the bayesian versus the classical position; Testing hypotheses concerning the value of a population parameter: the population mean; Tests ofhypotheses: determination of optimal sampling size - a classical approach; The t distribution (small sample theory); Three other parameters; The f distribution: analysis of variance; Decision making under risk: an introduction; Time series analysis: an introduction; Time series analysis: secular trend; Time series analysis: seasonal variation and cyclical fluctuatuions; Simple regression and correlation analysis; Multiple regression and correlation analysis; Nonparametric statistics; Index numbers.
Decision making by S. Christian Albright,Wayne L. Winston,Christopher James Zappe,Mark Nathan Broadie
Author: S. Christian Albright,Wayne L. Winston,Christopher James Zappe,Mark Nathan Broadie
Category: Decision making
DATA ANALYSIS, OPTIMIZATION, AND SIMULATION MODELING, 4e, International Edition is a teach-by-example approach, learner-friendly writing style, and complete Excel integration focusing on data analysis, modeling, and spreadsheet use in statistics and management science. The Premium Online Content Website (accessed by a unique code with every new book) includes links to the following add-ins: the Palisade Decision Tools Suite (@RISK, StatTools, PrecisionTree, TopRank, RISKOptimizer, NeuralTools, and Evolver); and SolverTable, allowing users to do sensitivity analysis. All of the add-ins is revised for Excel 2007 and notes about Excel 2010 are added where applicable.
Business & Economics by S. Christian Albright,Wayne L. Winston,Christopher James Zappe
Author: S. Christian Albright,Wayne L. Winston,Christopher James Zappe
Publisher: South-Western Pub
Category: Business & Economics
This text presents statistical concepts and methods in a unified, modern, spreadsheet-oriented approach. Featuring a wealth of business applications, this examples-based text illustrates a variety of statistical methods to help students analyze data sets and uncover important information to aid decision-making. DATA ANALYSIS FOR MANAGERS contains professional StatPro add-ins for Microsoft Excel from Palisade, valued at one hundred fifty dollars packaged at no additional cost with every new text.
Business & Economics by Wayne L. Winston,S. Christian Albright
Geared entirely to Excel 2013, PRACTICAL MANAGEMENT SCIENCE, 5e helps students understand and take full advantage of the power of spreadsheet modeling. It integrates modeling into all functional areas of business--finance, marketing, operations management--using real examples and real data. Emphasizing applied, relevant learning, the text presents just the right amount of theory to ensure students understand the foundation of the topic, followed by exercises that give them practical, hands-on experience with the methodologies. It focuses on modeling over algebraic formulations and memorization of particular models. The Fifth Edition includes the latest changes in the accompanying @RISK and PrecisionTree add-ins, incorporates BigPicture diagrams of spreadsheet models into the optimization chapters, and provides new and updated cases throughout. The online Chapter 16: Multiobjective Decision Making is now more conceptual, while Chapter 9: Decision Making Under Uncertainty extends a single new product decisions example throughout the chapter. In addition almost 30 new tutorial videos explain concepts and work through examples. Important Notice: Media content referenced within the product description or the product text may not be available in the ebook version.
Applied Data Analysis and Modeling for Energy Engineers and Scientists fills an identified gap in engineering and science education and practice for both students and practitioners. It demonstrates how to apply concepts and methods learned in disparate courses such as mathematical modeling, probability,statistics, experimental design, regression, model building, optimization, risk analysis and decision-making to actual engineering processes and systems. The text provides a formal structure that offers a basic, broad and unified perspective,while imparting the knowledge, skills and confidence to work in data analysis and modeling. This volume uses numerous solved examples, published case studies from the author’s own research, and well-conceived problems in order to enhance comprehension levels among readers and their understanding of the “processes”along with the tools.
The need to base policy on evidence has placed pressure on decision-makers to support proposals with well-grounded research and information. However, no practical guide with a focus on public sector policy and decision-making for doing this exists. This edited text fills the gap by providing a practical and comprehensive manual for people working in policy areas. It is aimed at practitioners with little or no experience in research and analysis but who require skills in managing, assessing and critically evaluating evidence use in the public sector. This first part of the book covers a range of broad frameworks within which evidence is used to arrive at decisions. These include evaluation, cost-benefit analysis, multi-criteria analysis, economic modelling and forecasting, and scenario planning and futures analysis. The second part of the book then discusses the specific methods used to gather and analyse evidence within these frameworks, including secondary data sources, sample surveys, and qualitative and quantitative data analysis. The emphasis throughout is not on technical knowledge, but critical understanding. George Argyrous is Senior Lecturer in the School of Social Sciences and International Studies at the University of New South Wales, Australia, and is an Adjunct Faculty member of the Australia and New Zealand School of Government.
Sports & Recreation by Ambikesh Jayal,Allistair McRobert,Giles Oatley,Peter O'Donoghue
As the analysis of big datasets in sports performance becomes a more entrenched part of the sporting landscape, so the value of sport scientists and analysts with formal training in data analytics grows. Sports Analytics: Analysis, Visualisation and Decision Making in Sports Performance provides the most authoritative and comprehensive guide to the use of analytics in sport and its application in sports performance, coaching, talent identification and sports medicine available. Employing an approach-based structure and integrating problem-based learning throughout the text, the book clearly defines the difference between analytics and analysis and goes on to explain and illustrate methods including: Interactive visualisation Simulation and modelling Geospatial data analysis Spatiotemporal analysis Machine learning Genomic data analysis Social network analysis Offering a mixed-methods case study chapter, no other book offers the same level of scientific grounding or practical application in sports data analytics. Sports Analytics is essential reading for all students of sports analytics, and useful supplementary reading for students and professionals in talent identification and development, sports performance analysis, sports medicine and applied computer science.
Business & Economics by Grace Edmar Elizar del Prado
This manuscript contains various approaches in interpreting data and how the unearthed pieces of information be used as practical inputs for decision making. With the aid of Microsoft Excel, presented in a step-by-step manner, data sets that differ in kind, probability, and distributions are analyzed and interpreted with a framework of solidifying fundamental understanding of data analysis and of carrying through these skills in the daily administration of decisions in managing production, people, money, and all forms of resources. This book hopes to complement with the other existing books in research and statistics that prefer to treat problems manually and explain applications theoretically. Students doing basic high school research will benefit from this book. College and graduate students who are doing a classroom research activity will also take full advantage of this. However, some novice researchers and professionals may find this manuscript equally useful; and those others who decided to dislike mathematics but found awe in it nonetheless. This book is really for them.
cradle to cradle: die Natur zeigt, wie wir die Dinge besser machen können
Author: Michael Braungart,William McDonough
"Autos aus Autos? Schuhe als Düngemittel für unsere Balkonblumen? Zukünftig gibt es nur noch zwei Arten von Produkten: Verbrauchsgüter, die vollständig biologisch abgebaut werden können, und Gebrauchsgüter, die sich endlos recyclen lassen. Die Devise lautet: Nicht weniger müssen wir produzieren, sondern verschwenderisch und in technischen und biologischen Kreisläufen. Eine ökologisch-industrielle Revolution steht uns bevor, mit der Natur als Vorbild. Und was die beiden Fachleute in anschaulicher Weise darbieten, ist keineswegs nur graue Theorie, sondern das Ergebnis eigener praktischer Erfahrungen: Michael Braungart und William McDonough erproben seit Jahren mit Firmen wie Ford, Nike, Unilever und BP erfolgreich die Realisierbarkeit ihrer Ideen." -- Herausgeber.
Master the techniques that business analysts at leading companies use to transform data into bottom-line results. For more than a decade, well-known consultant and business professor Wayne Winston has been teaching corporate clients and MBA students the most effective ways to use Microsoft Excel for data analysis, modeling, and decision making. Now this award-winning educator shares the best of his classroom experience in this practical, business-focused guide. Each chapter advances your data analysis and modeling expertise using real-world examples and learn-by-doing exercises. You also get all the book’s problem-and-solution files on CD—for all the practice you need to solve complex problems and work smarter with Excel. Learn how to solve real business problems with Excel! Create best, worst, and most-likely scenarios for sales Calculate how long it would take to recoup a project’s startup costs Plan personal finances, such as computing loan terms or saving for retirement Estimate a product’s demand curve Simulate stock performance over a year Determine which product mix will yield the greatest profits Interpret the effects of price and advertising on sales Assign a dollar value to customer loyalty Manage inventory and order quantities with precision Create customer service queues with short wait times Estimate the probabilities of equipment failure Model business uncertainties Get new perspectives on data with PivotTable dynamic views Help predict quarterly revenue, outcomes of sporting events, presidential elections, and more! On the CD: Practice files for all the book’s exercises Solutions for problem sets Fully searchable eBook A Note Regarding the CD or DVD The print version of this book ships with a CD or DVD. For those customers purchasing one of the digital formats in which this book is available, we are pleased to offer the CD/DVD content as a free download via O'Reilly Media's Digital Distribution services. To download this content, please visit O'Reilly's web site, search for the title of this book to find its catalog page, and click on the link below the cover image (Examples, Companion Content, or Practice Files). Note that while we provide as much of the media content as we are able via free download, we are sometimes limited by licensing restrictions. Please direct any questions or concerns to [email protected]