Accurate Case Outcome Modeling
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Accurate Case Outcome Modeling
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Author : Arch G. Woodside
language : en
Publisher: Springer Nature
Release Date : 2019-11-15
Accurate Case Outcome Modeling written by Arch G. Woodside and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-11-15 with Business & Economics categories.
This volume advocates accurate case outcome prediction that does not rely on symmetric modeling. To that end, it provides theory construction and testing applications in several sub-disciplines of business and the social sciences to illustrate how to move away from symmetric theory construction. Each chapter constructs case outcome theory and includes empirical analysis of outcomes. Chapter 1 provides a foundation of symmetric variable directional-relationship theory construction and null hypothesis significance testing versus asymmetric case outcome theory construction and somewhat precise outcome testing, while Chapters 2–6 investigate these principles through a range of applications. This volume will be very useful to researchers and professionals in manufacturing, service, consulting, management, marketing, organizational studies, and more. It will also be an excellent resource for advanced statistics students in building and testing case outcome models. Data sets are included so that readers can replicate findings presented in each chapter, and grow to present and test additional theories.
Improving The Marriage Of Modeling And Theory For Accurate Forecasts Of Outcomes
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Author : Arch G. Woodside
language : en
Publisher: Emerald Group Publishing
Release Date : 2018-01-29
Improving The Marriage Of Modeling And Theory For Accurate Forecasts Of Outcomes written by Arch G. Woodside and has been published by Emerald Group Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-01-29 with Business & Economics categories.
This book describes tools that are useful for decision-makers to improve their understanding of what is likely to happen in different configurations of contexts and decisions and to improve their forecasting abilities substantially.
Evaluation Results And Accuracy Improvement Of Two Flux Switching Mathematical Models For Magnetic Cores
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Author : J. Larry Spencer
language : en
Publisher:
Release Date : 1970
Evaluation Results And Accuracy Improvement Of Two Flux Switching Mathematical Models For Magnetic Cores written by J. Larry Spencer and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1970 with Evaluation categories.
The results of an evaluation of two flux-switching models for magnetic cores, the Nitzan model and the Betts and Bishop model, are presented. The two models are compared on the basis of the types of core switching each describes and the fidelity with which each predicts the output voltage waveform of a ferrite core with inside diameter of 50 mils (1.27 mm) and outside diameter of 80 mils (2.03 mm). The results indicate that the Nitzan model is more accurate and more nearly complete because it describes shuttling and partial switching. The Nitzan model is more applicable to cores of the same material but different sizes because it uses separate parameters related to the core materials and the core dimensions. A method is presented by which both models can be extended to describe more accurately the switching of cores with smaller ratios of inside to outside diameter.
A Guide To Outcome Modeling In Radiotherapy And Oncology
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Author : Issam El Naqa
language : en
Publisher: CRC Press
Release Date : 2018-04-19
A Guide To Outcome Modeling In Radiotherapy And Oncology written by Issam El Naqa and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-04-19 with Science categories.
This book explores outcome modeling in cancer from a data-centric perspective to enable a better understanding of complex treatment response, to guide the design of advanced clinical trials, and to aid personalized patient care and improve their quality of life. It contains coverage of the relevant data sources available for model construction (panomics), ranging from clinical or preclinical resources to basic patient and treatment characteristics, medical imaging (radiomics), and molecular biological markers such as those involved in genomics, proteomics and metabolomics. It also includes discussions on the varying methodologies for predictive model building with analytical and data-driven approaches. This book is primarily intended to act as a tutorial for newcomers to the field of outcome modeling, as it includes in-depth how-to recipes on modeling artistry while providing sufficient instruction on how such models can approximate the physical and biological realities of clinical treatment. The book will also be of value to seasoned practitioners as a reference on the varying aspects of outcome modeling and their current applications. Features: Covers top-down approaches applying statistical, machine learning, and big data analytics and bottom-up approaches using first principles and multi-scale techniques, including numerical simulations based on Monte Carlo and automata techniques Provides an overview of the available software tools and resources for outcome model development and evaluation, and includes hands-on detailed examples throughout Presents a diverse selection of the common applications of outcome modeling in a wide variety of areas: treatment planning in radiotherapy, chemotherapy and immunotherapy, utility-based and biomarker applications, particle therapy modeling, oncological surgery, and the design of adaptive and SMART clinical trials
Covid 19 Integrating Artificial Intelligence Data Science Mathematics Medicine And Public Health Epidemiology Neuroscience And Biomedical Science In Pandemic Management
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Author : Reza Lashgari
language : en
Publisher: Frontiers Media SA
Release Date : 2023-02-09
Covid 19 Integrating Artificial Intelligence Data Science Mathematics Medicine And Public Health Epidemiology Neuroscience And Biomedical Science In Pandemic Management written by Reza Lashgari and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-02-09 with Medical categories.
Security Intelligence In The Age Of Ai
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Author : Pushan Kumar Dutta
language : en
Publisher: Emerald Group Publishing
Release Date : 2025-07-14
Security Intelligence In The Age Of Ai written by Pushan Kumar Dutta and has been published by Emerald Group Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-07-14 with Law categories.
Chapters address how existing legal frameworks adapt to the intricacies of AI in security intelligence, advocating for the development of adaptive and forward-looking legal structures with recommendations for policymakers to craft legislation that keeps pace with the evolving landscape of AI in the realm of security.
Managerial Decision Modeling
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Author : Nagraj (Raju) Balakrishnan
language : en
Publisher: Walter de Gruyter GmbH & Co KG
Release Date : 2017-08-07
Managerial Decision Modeling written by Nagraj (Raju) Balakrishnan and has been published by Walter de Gruyter GmbH & Co KG this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-08-07 with Business & Economics categories.
This book fills a void for a balanced approach to spreadsheet-based decision modeling. In addition to using spreadsheets as a tool to quickly set up and solve decision models, the authors show how and why the methods work and combine the user's power to logically model and analyze diverse decision-making scenarios with software-based solutions. The book discusses the fundamental concepts, assumptions and limitations behind each decision modeling technique, shows how each decision model works, and illustrates the real-world usefulness of each technique with many applications from both profit and nonprofit organizations. The authors provide an introduction to managerial decision modeling, linear programming models, modeling applications and sensitivity analysis, transportation, assignment and network models, integer, goal, and nonlinear programming models, project management, decision theory, queuing models, simulation modeling, forecasting models and inventory control models. The additional material files Chapter 12 Excel files for each chapter Excel modules for Windows Excel modules for Mac 4th edition errata can be found at https://www.degruyter.com/view/product/486941
Artificial Intelligence And Legal Analytics
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Author : Kevin D. Ashley
language : en
Publisher: Cambridge University Press
Release Date : 2017-07-10
Artificial Intelligence And Legal Analytics written by Kevin D. Ashley 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 2017-07-10 with Computers categories.
This book describes how text analytics and computational models of legal reasoning will improve legal IR and let computers help humans solve legal problems.
Using Quantitative And Qualitative Models To Forecast Instability
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Author : Jack A. Goldstone
language : en
Publisher:
Release Date : 2008
Using Quantitative And Qualitative Models To Forecast Instability written by Jack A. Goldstone and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008 with Conflict management categories.
Policy Decision Modeling With Fuzzy Logic
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Author : Ali Guidara
language : en
Publisher: Springer Nature
Release Date : 2020-12-18
Policy Decision Modeling With Fuzzy Logic written by Ali Guidara and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-12-18 with Technology & Engineering categories.
This book introduces the concept of policy decision emergence and its dynamics at the sub systemic level of the decision process. This level constitutes the breeding ground of the emergence of policy decisions but remains unexplored due to the absence of adequate tools. It is a nonlinear complex system made of several entities that interact dynamically. The behavior of such a system cannot be understood with linear and deterministic methods. The book presents an innovative multidisciplinary approach that results in the development of a Policy Decision Emergence Simulation Model (PODESIM). This computational model is a multi-level fuzzy inference system that allows the identification of the decision emergence levers. This development represents a major advancement in the field of public policy decision studies. It paves the way for decision emergence modeling and simulation by bridging complex systems theory, multiple streams theory, and fuzzy logic theory.