Inferential Models

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Inferential Models
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Author : Ryan Martin
language : en
Publisher: CRC Press
Release Date : 2015-09-25
Inferential Models written by Ryan Martin and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-09-25 with Mathematics categories.
A New Approach to Sound Statistical ReasoningInferential Models: Reasoning with Uncertainty introduces the authors' recently developed approach to inference: the inferential model (IM) framework. This logical framework for exact probabilistic inference does not require the user to input prior information. The authors show how an IM produces meaning
Model Selection And Multimodel Inference
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Author : Kenneth P. Burnham
language : en
Publisher: Springer Science & Business Media
Release Date : 2007-05-28
Model Selection And Multimodel Inference written by Kenneth P. Burnham 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 2007-05-28 with Mathematics categories.
A unique and comprehensive text on the philosophy of model-based data analysis and strategy for the analysis of empirical data. The book introduces information theoretic approaches and focuses critical attention on a priori modeling and the selection of a good approximating model that best represents the inference supported by the data. It contains several new approaches to estimating model selection uncertainty and incorporating selection uncertainty into estimates of precision. An array of examples is given to illustrate various technical issues. The text has been written for biologists and statisticians using models for making inferences from empirical data.
Nonlinear Model Based Process Control
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Author : Rashid M. Ansari
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06
Nonlinear Model Based Process Control written by Rashid M. Ansari 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 2012-12-06 with Science categories.
The series Advances in Industrial Control aims to report and encourage technology transfer in control engineering. The rapid development of control technology has an impact on all areas of the control discipline. New theory, new controllers, actuators, sensors, new industrial processes, computer methods, new applications, new philosophies ... , new challenges. Much of this development work resides in industrial reports, feasibility study papers and the reports of advanced collaborative projects. The series offers an opportunity for researchers to present an extended exposition of such new work in all aspects of industrial control for wider and rapid dissemination. The last decade has seen considerable interest in reviving the fortunes of non linear control. In contrast to the approaches of the 60S, 70S and 80S a very pragmatic agenda for non-linear control is being pursued using the model-based predictive control paradigm. This text by R. Ansari and M. Tade gives an excellent synthesis of this new direction. Two strengths emphasized by the text are: (i) four applications found in refinery processes are used to give the text a firm practical continuity; (ii) a non-linear model-based control architecture is used to give the method a coherent theoretical framework.
Tidy Modeling With R
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Author : Max Kuhn
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2022-07-12
Tidy Modeling With R written by Max Kuhn and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-07-12 with Computers categories.
Get going with tidymodels, a collection of R packages for modeling and machine learning. Whether you're just starting out or have years of experience with modeling, this practical introduction shows data analysts, business analysts, and data scientists how the tidymodels framework offers a consistent, flexible approach for your work. RStudio engineers Max Kuhn and Julia Silge demonstrate ways to create models by focusing on an R dialect called the tidyverse. Software that adopts tidyverse principles shares both a high-level design philosophy and low-level grammar and data structures, so learning one piece of the ecosystem makes it easier to learn the next. You'll understand why the tidymodels framework has been built to be used by a broad range of people. With this book, you will: Learn the steps necessary to build a model from beginning to end Understand how to use different modeling and feature engineering approaches fluently Examine the options for avoiding common pitfalls of modeling, such as overfitting Learn practical methods to prepare your data for modeling Tune models for optimal performance Use good statistical practices to compare, evaluate, and choose among models
Business Modeling And Data Mining
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Author : Dorian Pyle
language : en
Publisher: Elsevier
Release Date : 2003-05-17
Business Modeling And Data Mining written by Dorian Pyle and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2003-05-17 with Computers categories.
Business Modeling and Data Mining demonstrates how real world business problems can be formulated so that data mining can answer them. The concepts and techniques presented in this book are the essential building blocks in understanding what models are and how they can be used practically to reveal hidden assumptions and needs, determine problems, discover data, determine costs, and explore the whole domain of the problem. This book articulately explains how to understand both the strategic and tactical aspects of any business problem, identify where the key leverage points are and determine where quantitative techniques of analysis -- such as data mining -- can yield most benefit. It addresses techniques for discovering how to turn colloquial expression and vague descriptions of a business problem first into qualitative models and then into well-defined quantitative models (using data mining) that can then be used to find a solution. The book completes the process by illustrating how these findings from data mining can be turned into strategic or tactical implementations. · Teaches how to discover, construct and refine models that are useful in business situations· Teaches how to design, discover and develop the data necessary for mining · Provides a practical approach to mining data for all business situations· Provides a comprehensive, easy-to-use, fully interactive methodology for building models and mining data· Provides pointers to supplemental online resources, including a downloadable version of the methodology and software tools.
Handbook Of Regression Modeling In People Analytics
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Author : Keith McNulty
language : en
Publisher: CRC Press
Release Date : 2021-07-30
Handbook Of Regression Modeling In People Analytics written by Keith McNulty and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-07-30 with Business & Economics categories.
Despite the recent rapid growth in machine learning and predictive analytics, many of the statistical questions that are faced by researchers and practitioners still involve explaining why something is happening. Regression analysis is the best ‘swiss army knife’ we have for answering these kinds of questions. This book is a learning resource on inferential statistics and regression analysis. It teaches how to do a wide range of statistical analyses in both R and in Python, ranging from simple hypothesis testing to advanced multivariate modelling. Although it is primarily focused on examples related to the analysis of people and talent, the methods easily transfer to any discipline. The book hits a ‘sweet spot’ where there is just enough mathematical theory to support a strong understanding of the methods, but with a step-by-step guide and easily reproducible examples and code, so that the methods can be put into practice immediately. This makes the book accessible to a wide readership, from public and private sector analysts and practitioners to students and researchers. Key Features: • 16 accompanying datasets across a wide range of contexts (e.g. academic, corporate, sports, marketing) • Clear step-by-step instructions on executing the analyses. • Clear guidance on how to interpret results. • Primary instruction in R but added sections for Python coders. • Discussion exercises and data exercises for each of the main chapters. • Final chapter of practice material and datasets ideal for class homework or project work.
Artificial Intelligence In Manufacturing
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Author : Masoud Soroush
language : en
Publisher: Elsevier
Release Date : 2024-01-22
Artificial Intelligence In Manufacturing written by Masoud Soroush and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-01-22 with Technology & Engineering categories.
Artificial Intelligence in Manufacturing: Applications and Case Studies provides detailed technical descriptions of emerging applications of AI in manufacturing using case studies to explain implementation. Artificial intelligence is increasingly being applied to all engineering disciplines, producing insights into how we understand the world and allowing us to create products in new ways. This book unlocks the advantages of this technology for manufacturing by drawing on work by leading researchers who have successfully used it in a range of applications. Processes including additive manufacturing, pharmaceutical manufacturing, painting, chemical engineering and machinery maintenance are all addressed. Case studies, worked examples, basic introductory material and step-by-step instructions on methods make the work accessible to a large group of interested professionals. - Explains innovative computational tools and methods in a practical and systematic way - Addresses a wide range of manufacturing types, including additive, chemical and pharmaceutical - Includes case studies from industry that describe how to overcome the challenges of implementing these methods in practice
Techniques Of Model Based Control
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Author : Coleman Brosilow
language : en
Publisher: Prentice Hall Professional
Release Date : 2002
Techniques Of Model Based Control written by Coleman Brosilow and has been published by Prentice Hall Professional this book supported file pdf, txt, epub, kindle and other format this book has been release on 2002 with Computers categories.
Annotation In this book, two of the field's leading experts bring together powerful advances in model-based control for chemical process engineering. From start to finish, Coleman Brosilow and Babu Joseph introduce practical approaches designed to solve real-world problems -- not just theory. The book contains extensive examples and exercises, and an accompanying CD-ROM contains hands-on MATLAB files that supplement the examples and help readers solve the exercises -- a feature found in no other book on the topic.
Functional Inference In Paleoanthropology
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Author : David J. Daegling
language : en
Publisher: JHU Press
Release Date : 2022-01-04
Functional Inference In Paleoanthropology written by David J. Daegling and has been published by JHU Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-01-04 with Science categories.
In this deep examination of functional morphology, a renowned paleoanthropologist offers a new way to investigate human evolution through the fossil record. It is common for two functional anatomists to examine the exact same fossil material, yet argue over its evolutionary significance. How can this be? Traditionally, paleoanthropology has interpreted hominin fossil morphology by first considering the ecological challenges hominins faced, then drawing adaptive inferences based on the idea that skeletal morphology is largely a reflection of paleoecology. In Functional Inference in Paleoanthropology, innovative paleoanthropologist David J. Daegling suggests that researchers can resolve dichotomous interpretations of the fossil record by instead focusing on the biology and development of the bones themselves—such as measurable responses to deformations, stresses, and damage. Critically exploring how scientists probe and interpret fossil morphology for behavioral and adaptive inferences, Daegling makes the case that an intelligible science of functional morphology in the fossil record is impossible without the inclusion of this mechanobiological perspective. Drawing on historical examples from long-standing debates on the emergence of bipedality and the dietary shifts that facilitated the emergence of the hominin clade, Daegling traces the disjunctions between theoretical principles of comparative morphology and methodological practice in the paleontological context of human evolution. Sharing rich findings from recent decades of research in skeletal biomechanics, Functional Inference in Paleoanthropology examines how bone adapts over the lifespan, what environmental factors influence its quality, and how developmental constraints limit the skeleton's adaptive potential over evolutionary time.
Gis And Archaeological Site Location Modeling
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Author : Mark W. Mehrer
language : en
Publisher: CRC Press
Release Date : 2005-12-21
Gis And Archaeological Site Location Modeling written by Mark W. Mehrer and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005-12-21 with Social Science categories.
Although archaeologists are using GIS technology at an accelerating rate, publication of their work has not kept pace. A state-of-the-art exploration the subject, GIS and Archaeological Site Location Modeling pulls together discussions of theory and methodology, scale, data, quantitative methods, and cultural resource management and uses loc