Decision Support Using Nonparametric Statistics
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| Author | : Warren Beatty |
| Publisher | : Springer |
| Total Pages | : 132 |
| Release | : 2018-01-15 |
| Genre | : Business & Economics |
| ISBN | : 3319682644 |
This concise volume covers nonparametric statistics topics that most are most likely to be seen and used from a practical decision support perspective. While many degree programs require a course in parametric statistics, these methods are often inadequate for real-world decision making in business environments. Much of the data collected today by business executives (for example, customer satisfaction opinions) requires nonparametric statistics for valid analysis, and this book provides the reader with a set of tools that can be used to validly analyze all data, regardless of type. Through numerous examples and exercises, this book explains why nonparametric statistics will lead to better decisions and how they are used to reach a decision, with a wide array of business applications. Online resources include exercise data, spreadsheets, and solutions.
| Author | : Gregory W. Corder |
| Publisher | : John Wiley & Sons |
| Total Pages | : 288 |
| Release | : 2014-04-14 |
| Genre | : Mathematics |
| ISBN | : 1118840429 |
“...a very useful resource for courses in nonparametric statistics in which the emphasis is on applications rather than on theory. It also deserves a place in libraries of all institutions where introductory statistics courses are taught." –CHOICE This Second Edition presents a practical and understandable approach that enhances and expands the statistical toolset for readers. This book includes: New coverage of the sign test and the Kolmogorov-Smirnov two-sample test in an effort to offer a logical and natural progression to statistical power SPSS® (Version 21) software and updated screen captures to demonstrate how to perform and recognize the steps in the various procedures Data sets and odd-numbered solutions provided in an appendix, and tables of critical values Supplementary material to aid in reader comprehension, which includes: narrated videos and screen animations with step-by-step instructions on how to follow the tests using SPSS; online decision trees to help users determine the needed type of statistical test; and additional solutions not found within the book.
| Author | : Ming-Hui Chen |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 631 |
| Release | : 2010-07-24 |
| Genre | : Mathematics |
| ISBN | : 1441969446 |
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.
| Author | : Ignacio Castillo |
| Publisher | : John Wiley & Sons |
| Total Pages | : 850 |
| Release | : 2023-05-08 |
| Genre | : |
| ISBN | : 1119983223 |
Show students why business statistics is an increasingly important business skill through a student-friendly pedagogy. In this fourth Canadian edition of Business Statistics For Contemporary Decision Making authors Ken Black, Tiffany Bayley, and Ignacio Castillo uses current real-world data to equip students with the business analytics techniques and quantitative decision-making skills required to make smart decisions in today's workplace.
| Author | : David E. McNabb |
| Publisher | : Routledge |
| Total Pages | : 711 |
| Release | : 2017-09-11 |
| Genre | : Political Science |
| ISBN | : 135172147X |
Now in a thoroughly revised and refreshed fourth edition, Research Methods in Public Administration and Nonprofit Management is beloved by students and professors alike for its exceptional clarity and accessibility and plentiful illustrations. This new edition integrates quantitative, qualitative, and mixed-methods approaches, as well as specific up-to-date instruction in the use of statistical software programs such as Excel and SPSS. Changes to this edition include: A new section, featuring two new chapters, to explore mixed-methods approaches to research, including fundamentals, research design, data collection, and analyzing and interpreting findings A new, dedicated chapter on Big Data research Updated exhibits and examples throughout the book A new companion website to accompany the book containing PowerPoint slides for each chapter New exhibits, tables, figures, and exercises, as well as key terms and discussion questions at the end of each chapter Research Methods in Public Administration and Nonprofit Management, 4e is an ideal textbook for use in all research methods courses in undergraduate and graduate public administration, public affairs, and nonprofit management courses.
| Author | : Gregory W. Corder |
| Publisher | : John Wiley & Sons |
| Total Pages | : 199 |
| Release | : 2011-09-20 |
| Genre | : Mathematics |
| ISBN | : 1118211251 |
A practical and understandable approach to nonparametric statistics for researchers across diverse areas of study As the importance of nonparametric methods in modern statistics continues to grow, these techniques are being increasingly applied to experimental designs across various fields of study. However, researchers are not always properly equipped with the knowledge to correctly apply these methods. Nonparametric Statistics for Non-Statisticians: A Step-by-Step Approach fills a void in the current literature by addressing nonparametric statistics in a manner that is easily accessible for readers with a background in the social, behavioral, biological, and physical sciences. Each chapter follows the same comprehensive format, beginning with a general introduction to the particular topic and a list of main learning objectives. A nonparametric procedure is then presented and accompanied by context-based examples that are outlined in a step-by-step fashion. Next, SPSS® screen captures are used to demonstrate how to perform and recognize the steps in the various procedures. Finally, the authors identify and briefly describe actual examples of corresponding nonparametric tests from diverse fields. Using this organized structure, the book outlines essential skills for the application of nonparametric statistical methods, including how to: Test data for normality and randomness Use the Wilcoxon signed rank test to compare two related samples Apply the Mann-Whitney U test to compare two unrelated samples Compare more than two related samples using the Friedman test Employ the Kruskal-Wallis H test to compare more than two unrelated samples Compare variables of ordinal or dichotomous scales Test for nominal scale data A detailed appendix provides guidance on inputting and analyzing the presented data using SPSS®, and supplemental tables of critical values are provided. In addition, the book's FTP site houses supplemental data sets and solutions for further practice. Extensively classroom tested, Nonparametric Statistics for Non-Statisticians is an ideal book for courses on nonparametric statistics at the upper-undergraduate and graduate levels. It is also an excellent reference for professionals and researchers in the social, behavioral, and health sciences who seek a review of nonparametric methods and relevant applications.
| Author | : Ravipudi Venkata Rao |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 369 |
| Release | : 2007-06-06 |
| Genre | : Business & Economics |
| ISBN | : 1846288193 |
This book shows how graph theory and matrix approach, and fuzzy multiple attribute decision making methods can be used in manufacturing. It proposes a methodology that will make decision making in the manufacturing environment structured and systematic. The book uses case studies to present the applications of decision making methods in real manufacturing situations.
| Author | : Ian Scott |
| Publisher | : SAGE |
| Total Pages | : 252 |
| Release | : 2005-02-09 |
| Genre | : Mathematics |
| ISBN | : 9780761974765 |
Focusing on quantative approaches to investigating problems, this title introduces the basics rules and principles of statistics, encouraging the reader to think critically about data analysis and research design, and how these factors can impact upon evidence-based practice.
| Author | : Kim Phuc Tran |
| Publisher | : CRC Press |
| Total Pages | : 330 |
| Release | : 2022-10-13 |
| Genre | : Computers |
| ISBN | : 100077144X |
This book presents recent advancements in research, a review of new methods and techniques, and applications in decision support systems (DSS) with Machine Learning and Probabilistic Graphical Models, which are very effective techniques in gaining knowledge from Big Data and in interpreting decisions. It explores Bayesian network learning, Control Chart, Reinforcement Learning for multicriteria DSS, Anomaly Detection in Smart Manufacturing with Federated Learning, DSS in healthcare, DSS for supply chain management, etc. Researchers and practitioners alike will benefit from this book to enhance the understanding of machine learning, Probabilistic Graphical Models, and their uses in DSS in the context of decision making with uncertainty. The real-world case studies in various fields with guidance and recommendations for the practical applications of these studies are introduced in each chapter.
| Author | : Janusz Kacprzyk |
| Publisher | : Springer |
| Total Pages | : 613 |
| Release | : 2017-08-29 |
| Genre | : Technology & Engineering |
| ISBN | : 3319668277 |
This volume constitutes the proceedings of two collocated international conferences: EUSFLAT-2017 – the 10th edition of the flagship Conference of the European Society for Fuzzy Logic and Technology held in Warsaw, Poland, on September 11–15, 2017, and IWIFSGN’2017 – The Sixteenth International Workshop on Intuitionistic Fuzzy Sets and Generalized Nets, held in Warsaw on September 13–15, 2017. The conferences were organized by the Systems Research Institute, Polish Academy of Sciences, Department IV of Engineering Sciences, Polish Academy of Sciences, and the Polish Operational and Systems Research Society in collaboration with the European Society for Fuzzy Logic and Technology (EUSFLAT), the Bulgarian Academy of Sciences and various European universities. The aim of the EUSFLAT-2017 was to bring together theoreticians and practitioners working on fuzzy logic, fuzzy systems, soft computing and related areas and to provide a platform for exchanging ideas and discussing the l atest trends and ideas, while the aim of IWIFSGN’2017 was to discuss new developments in extensions of the concept of a fuzzy set, such as an intuitionistic fuzzy set, as well as other concepts, like that of a generalized net. The papers included, written by leading international experts, as well as the special sessions and panel discussions contribute to the development the field, strengthen collaborations and intensify networking.
