Maximizing Predictive Accuracy

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Maximizing Predictive Accuracy

Author : Paul R. Yarnold
Publisher :
ISBN 13 : 9780692700921
Total Pages : 396 pages
Book Rating : 4.7/5 (9 download)

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Book Synopsis Maximizing Predictive Accuracy by : Paul R. Yarnold

Download or read book Maximizing Predictive Accuracy written by Paul R. Yarnold and published by . This book was released on 2016-05-17 with total page 396 pages. Available in PDF, EPUB and Kindle. Book excerpt: Procedures to identify mathematical models explicitly yielding optimal (maximum accuracy) solutions for samples were widely studied in the past century, with literatures emerging in fields such as symbolic logic, operations research, mathematical programming, systems engineering, algorithms, computer science, machine intelligence, finance, transportation science, and management science. Broad-spectrum consensus among disparate experts indicates predictive accuracy is an objective function worthy of optimization. In the Optimal (?optimizing?) Data Analysis (ODA) statistical paradigm, an optimization algorithm is first utilized to identify the model that explicitly maximizes predictive accuracy for the sample, and then the resulting optimal performance is evaluated in the context of an application-specific exact statistical architecture. Discovered in 1990, the most basic ODA model was a distribution-free machine learning algorithm used to make maximum accuracy classifications of observations into one of two categories (pass or fail) on the basis of their score on an ordered attribute (test score). When the first book on ODA was written in 2004 a cornucopia of indisputable evidence had already amassed demonstrating that statistical models identified by ODA were more flexible, transparent, intuitive, accurate, parsimonious, and generalizable than competing models instead identified using an unintegrated menagerie of legacy statistical methods. Understanding of ODA methodology skyrocketed over the next decade, and 2014 produced the development of novometric theory ? the conceptual analogue of quantum mechanics for the statistical analysis of classical data. This point was selected to pause to write Maximizing Predictive Accuracy, as a means of organizing and making sense of all that has so-far been learned about ODA, through November of 2015.Researchers exploring ODA for the first time will appreciate the intellectually transparent, intuitive presentation involving minimal use of a few simple equations. Researchers using ODA in their work will appreciate the unmatched flexibility, simplicity, and accuracy of resulting statistical models ? and their generalizability across time and sample. ODA accommodates all metrics, requires no distributional assumptions, allows for analytic weighting of individual observations, explicitly maximizes predictive accuracy (overall, or normed against chance), and supports multiple methods of assessing validity.

Simplicity, Inference and Modelling

Author : Arnold Zellner
Publisher : Cambridge University Press
ISBN 13 : 1139432389
Total Pages : 314 pages
Book Rating : 4.1/5 (394 download)

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Book Synopsis Simplicity, Inference and Modelling by : Arnold Zellner

Download or read book Simplicity, Inference and Modelling written by Arnold Zellner and published by Cambridge University Press. This book was released on 2002-02-07 with total page 314 pages. Available in PDF, EPUB and Kindle. Book excerpt: The idea that simplicity matters in science is as old as science itself, with the much cited example of Ockham's Razor, 'entia non sunt multiplicanda praeter necessitatem': entities are not to be multiplied beyond necessity. A problem with Ockham's razor is that nearly everybody seems to accept it, but few are able to define its exact meaning and to make it operational in a non-arbitrary way. Using a multidisciplinary perspective including philosophers, mathematicians, econometricians and economists, this 2002 monograph examines simplicity by asking six questions: what is meant by simplicity? How is simplicity measured? Is there an optimum trade-off between simplicity and goodness-of-fit? What is the relation between simplicity and empirical modelling? What is the relation between simplicity and prediction? What is the connection between simplicity and convenience? The book concludes with reflections on simplicity by Nobel Laureates in Economics.

Smart Decarceration

Author : Matthew Epperson
Publisher : Oxford University Press
ISBN 13 : 0190653108
Total Pages : 305 pages
Book Rating : 4.1/5 (96 download)

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Book Synopsis Smart Decarceration by : Matthew Epperson

Download or read book Smart Decarceration written by Matthew Epperson and published by Oxford University Press. This book was released on 2017-08-29 with total page 305 pages. Available in PDF, EPUB and Kindle. Book excerpt: Smart Decarceration is a forward-thinking, practical volume that provides innovative concepts and concrete strategies for ushering in an era of decarceration -- a proactive and effective undoing of the era of mass incarceration. The text grapples with tough questions and takes up the challenge of transforming America's approach to criminal justice in the 21st century. This timely work consists of chapters written from multiple perspectives and disciplines including advocates, researchers, academics, practitioners, and persons with incarceration histories who are now leaders in the movement. The primary purpose of this book is to inform both academic and public understanding -- to place the challenge of smart decarceration at the center of the current national discourse, taking into account the realities of the current sociopolitical context -- and to propose beginning action steps. This is achieved by first outlining and addressing questions such as: What if incarceration were not an option for most?; Whose voices are essential in this era of decarceration?; What is the state of evidence for solutions?; How do we generate and adopt empirically driven reforms?; How do we redefine and rethink justice in the United States? Smart Decarceration offers a way forward in building a field for decarceration through provocative but reasoned challenges to existing approaches to criminal justice reforms, lively focus on potential solutions, and action steps for reform.

Prediction Machines, Updated and Expanded

Author : Ajay Agrawal
Publisher : Harvard Business Press
ISBN 13 : 1647824680
Total Pages : 347 pages
Book Rating : 4.6/5 (478 download)

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Book Synopsis Prediction Machines, Updated and Expanded by : Ajay Agrawal

Download or read book Prediction Machines, Updated and Expanded written by Ajay Agrawal and published by Harvard Business Press. This book was released on 2022-11-15 with total page 347 pages. Available in PDF, EPUB and Kindle. Book excerpt: Named one of "The five best books to understand AI" by The Economist The impact AI will have is profound, but the economic framework for understanding it is surprisingly simple. Artificial intelligence seems to do the impossible, magically bringing machines to life—driving cars, trading stocks, and teaching children. But facing the sea change that AI brings can be paralyzing. How should companies set strategies, governments design policies, and people plan their lives for a world so different from what we know? In the face of such uncertainty, many either cower in fear or predict an impossibly sunny future. But in Prediction Machines, three eminent economists recast the rise of AI as a drop in the cost of prediction. With this masterful stroke, they lift the curtain on the AI-is-magic hype and provide economic clarity about the AI revolution as well as a basis for action by executives, policy makers, investors, and entrepreneurs. In this new, updated edition, the authors illustrate how, when AI is framed as cheap prediction, its extraordinary potential becomes clear: Prediction is at the heart of making decisions amid uncertainty. Our businesses and personal lives are riddled with such decisions. Prediction tools increase productivity—operating machines, handling documents, communicating with customers. Uncertainty constrains strategy. Better prediction creates opportunities for new business strategies to compete. The authors reset the context, describing the striking impact the book has had and how its argument and its implications are playing out in the real world. And in new material, they explain how prediction fits into decision-making processes and how foundational technologies such as quantum computing will impact business choices. Penetrating, insightful, and practical, Prediction Machines will help you navigate the changes on the horizon.

Univariate and Multivariate General Linear Models

Author : Kevin Kim
Publisher : CRC Press
ISBN 13 : 1420011367
Total Pages : 568 pages
Book Rating : 4.4/5 (2 download)

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Book Synopsis Univariate and Multivariate General Linear Models by : Kevin Kim

Download or read book Univariate and Multivariate General Linear Models written by Kevin Kim and published by CRC Press. This book was released on 2006-10-11 with total page 568 pages. Available in PDF, EPUB and Kindle. Book excerpt: Reviewing the theory of the general linear model (GLM) using a general framework, Univariate and Multivariate General Linear Models: Theory and Applications with SAS, Second Edition presents analyses of simple and complex models, both univariate and multivariate, that employ data sets from a variety of disciplines, such as the social and behavioral

Judgment in Predictive Analytics

Author : Matthias Seifert
Publisher : Springer Nature
ISBN 13 : 3031300858
Total Pages : 321 pages
Book Rating : 4.0/5 (313 download)

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Book Synopsis Judgment in Predictive Analytics by : Matthias Seifert

Download or read book Judgment in Predictive Analytics written by Matthias Seifert and published by Springer Nature. This book was released on 2023-06-02 with total page 321 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book highlights research on the behavioral biases affecting judgmental accuracy in judgmental forecasting and showcases the state-of-the-art in judgment-based predictive analytics. In recent years, technological advancements have made it possible to use predictive analytics to exploit highly complex (big) data resources. Consequently, modern forecasting methodologies are based on sophisticated algorithms from the domain of machine learning and deep learning. However, research shows that in the majority of industry contexts, human judgment remains an indispensable component of the managerial forecasting process. This book discusses ways in which decision-makers can address human behavioral issues in judgmental forecasting. The book begins by introducing readers to the notion of human-machine interactions. This includes a look at the necessity of managerial judgment in situations where organizations commonly have algorithmic decision support models at their disposal. The remainder of the book is divided into three parts, with Part I focusing on the role of individual-level judgment in the design and utilization of algorithmic models. The respective chapters cover individual-level biases such as algorithm aversion, model selection criteria, model-judgment aggregation issues and implications for behavioral change. In turn, Part II addresses the role of collective judgments in predictive analytics. The chapters focus on issues related to talent spotting, performance-weighted aggregation, and the wisdom of timely crowds. Part III concludes the book by shedding light on the importance of contextual factors as critical determinants of forecasting performance. Its chapters discuss the usefulness of scenario analysis, the role of external factors in time series forecasting and introduce the idea of mindful organizing as an approach to creating more sustainable forecasting practices in organizations.

The Maize Genome

Author : Jeffrey Bennetzen
Publisher : Springer
ISBN 13 : 3319974270
Total Pages : 390 pages
Book Rating : 4.3/5 (199 download)

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Book Synopsis The Maize Genome by : Jeffrey Bennetzen

Download or read book The Maize Genome written by Jeffrey Bennetzen and published by Springer. This book was released on 2018-11-24 with total page 390 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book discusses advances in our understanding of the structure and function of the maize genome since publication of the original B73 reference genome in 2009, and the progress in translating this knowledge into basic biology and trait improvement. Maize is an extremely important crop, providing a large proportion of the world’s human caloric intake and animal feed, and serving as a model species for basic and applied research. The exceptionally high level of genetic diversity within maize presents opportunities and challenges in all aspects of maize genetics, from sequencing and genotyping to linking genotypes to phenotypes. Topics covered in this timely book range from (i) genome sequencing and genotyping techniques, (ii) genome features such as centromeres and epigenetic regulation, (iii) tools and resources available for trait genomics, to (iv) applications of allele mining and genomics-assisted breeding. This book is a valuable resource for researchers and students interested in maize genetics and genomics.

Machine Learning Proceedings 1995

Author : Armand Prieditis
Publisher : Morgan Kaufmann
ISBN 13 : 1483298663
Total Pages : 606 pages
Book Rating : 4.4/5 (832 download)

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Book Synopsis Machine Learning Proceedings 1995 by : Armand Prieditis

Download or read book Machine Learning Proceedings 1995 written by Armand Prieditis and published by Morgan Kaufmann. This book was released on 2014-06-28 with total page 606 pages. Available in PDF, EPUB and Kindle. Book excerpt: Machine Learning Proceedings 1995

How to Prepare the Egg and Embryo to Maximize IVF Success

Author : Gabor Kovacs
Publisher : Cambridge University Press
ISBN 13 : 1108668461
Total Pages : 402 pages
Book Rating : 4.1/5 (86 download)

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Book Synopsis How to Prepare the Egg and Embryo to Maximize IVF Success by : Gabor Kovacs

Download or read book How to Prepare the Egg and Embryo to Maximize IVF Success written by Gabor Kovacs and published by Cambridge University Press. This book was released on 2019-01-09 with total page 402 pages. Available in PDF, EPUB and Kindle. Book excerpt: This comprehensive review of the factors that affect the harvesting and preparation of oocytes and the management of embryos will allow practitioners to make evidence-based decisions for successful IVF. The book reviews and re-considers the value of strategies and outcomes in the management of fertility and conception rates, centred on the production of oocytes, and successful development of the embryo. Authored by leading experts in the field, chapters engage with treatments and strategies that affect the production of oocytes and embryos, optimizing outcomes in the management of female fertility, conception rates, and live births. This vital guide covers controlled ovarian hyperstimulation, the role of AMH in determining ovarian reserve, and primary stimulation agents and the use of adjuncts. Integral for all clinicians and embryologists working in reproductive medicine units, readers are provided with evidence-based, comprehensive advice and review of all factors affecting the management of oocytes and the embryo that are vital for successful IVF cycles.

Advanced Information Networking and Applications

Author : Leonard Barolli
Publisher : Springer Nature
ISBN 13 : 3030440419
Total Pages : 1535 pages
Book Rating : 4.0/5 (34 download)

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Book Synopsis Advanced Information Networking and Applications by : Leonard Barolli

Download or read book Advanced Information Networking and Applications written by Leonard Barolli and published by Springer Nature. This book was released on 2020-03-27 with total page 1535 pages. Available in PDF, EPUB and Kindle. Book excerpt: This proceedings book covers the theory, design and applications of computer networks, distributed computing and information systems. Today’s networks are evolving rapidly, and there are several developing areas and applications. These include heterogeneous networking supported by recent technological advances in power wireless communications, along with silicon integration of various functionalities such as sensing, communications, intelligence and actuations, which is emerging as a critically important disruptive computer class based on a new platform, networking structure and interface that enables novel, low-cost and high-volume applications. However, implemeting these applications has sometimes been difficult due to interconnection problems. As such, different networks need to collaborate, and wired and next-generation wireless systems need to be integrated in order to develop high-performance computing solutions to address the problems arising from these networks’ complexities. This ebook presents the latest research findings, as well as theoretical and practical perspectives on the innovative methods and development techniques related to the emerging areas of information networking and applications

Proceedings of 4th International Conference on Frontiers in Computing and Systems

Author : Dipak Kumar Kole
Publisher : Springer Nature
ISBN 13 : 9819726115
Total Pages : 728 pages
Book Rating : 4.8/5 (197 download)

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Book Synopsis Proceedings of 4th International Conference on Frontiers in Computing and Systems by : Dipak Kumar Kole

Download or read book Proceedings of 4th International Conference on Frontiers in Computing and Systems written by Dipak Kumar Kole and published by Springer Nature. This book was released on with total page 728 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Psychology of Learning and Motivation

Author :
Publisher : Academic Press
ISBN 13 : 0128003138
Total Pages : 341 pages
Book Rating : 4.1/5 (28 download)

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Book Synopsis Psychology of Learning and Motivation by :

Download or read book Psychology of Learning and Motivation written by and published by Academic Press. This book was released on 2014-05-08 with total page 341 pages. Available in PDF, EPUB and Kindle. Book excerpt: Psychology of Learning and Motivation publishes empirical and theoretical contributions in cognitive and experimental psychology, ranging from classical and instrumental conditioning to complex learning and problem solving. Each chapter thoughtfully integrates the writings of leading contributors, who present and discuss significant bodies of research relevant to their discipline. Volume 61 includes chapters on such varied topics as problems of Induction, motivated reasoning and rationality, probability matching, cognition in the attention economy, masked priming, motion extrapolation and testing memory - Volume 61 of the highly regarded Psychology of Learning and Motivation - An essential reference for researchers and academics in cognitive science - Relevant to both applied concerns and basic research

Detection of Malingering during Head Injury Litigation

Author : Arthur MacNeill Horton, Jr.
Publisher : Springer Nature
ISBN 13 : 303054656X
Total Pages : 366 pages
Book Rating : 4.0/5 (35 download)

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Book Synopsis Detection of Malingering during Head Injury Litigation by : Arthur MacNeill Horton, Jr.

Download or read book Detection of Malingering during Head Injury Litigation written by Arthur MacNeill Horton, Jr. and published by Springer Nature. This book was released on 2021-07-22 with total page 366 pages. Available in PDF, EPUB and Kindle. Book excerpt: Expanding both the conceptual and clinical knowledge base on the subject, the Third Edition of Detection of Malingering during Head Injury Litigation offers the latest detection tools and techniques for veteran and novice alike. Increased public awareness of traumatic brain injuries has fueled a number of significant developments: on the one hand, more funding and more research related to these injuries and their resulting deficits; on the other, the possibility of higher stakes in personal injury suits—and more reasons for individuals to feign injury. As in its earlier editions, this practical revision demonstrates how to combine clinical expertise, carefully-gathered data, and the use of actuarial models as well as common sense in making sound evaluations and reducing ambiguous results. The book navigates the reader through the many caveats that come with the job, beginning with the scenario that an individual may be malingering despite having an actual brain injury. Among the updated features: Specific chapters on malingering on the Word Memory Test (WMT), Test of Malingered Memory (TOMM) MMPI-2, MMPI-RF and MMPI-3; Detailed information regarding performance on performance validity tests in the domain of executive functioning and memory, Guidelines for explaining performance and symptom validity testing to the trier of fact; Chapters on mild TBI in children in head injury litigation, cultural concerns and ethical issues in the context of head injury litigation.

Data Mining

Author : Ian H. Witten
Publisher : Morgan Kaufmann
ISBN 13 : 0128043571
Total Pages : 655 pages
Book Rating : 4.1/5 (28 download)

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Book Synopsis Data Mining by : Ian H. Witten

Download or read book Data Mining written by Ian H. Witten and published by Morgan Kaufmann. This book was released on 2016-10-01 with total page 655 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data Mining: Practical Machine Learning Tools and Techniques, Fourth Edition, offers a thorough grounding in machine learning concepts, along with practical advice on applying these tools and techniques in real-world data mining situations. This highly anticipated fourth edition of the most acclaimed work on data mining and machine learning teaches readers everything they need to know to get going, from preparing inputs, interpreting outputs, evaluating results, to the algorithmic methods at the heart of successful data mining approaches. Extensive updates reflect the technical changes and modernizations that have taken place in the field since the last edition, including substantial new chapters on probabilistic methods and on deep learning. Accompanying the book is a new version of the popular WEKA machine learning software from the University of Waikato. Authors Witten, Frank, Hall, and Pal include today's techniques coupled with the methods at the leading edge of contemporary research. Please visit the book companion website at https://www.cs.waikato.ac.nz/~ml/weka/book.html. It contains - Powerpoint slides for Chapters 1-12. This is a very comprehensive teaching resource, with many PPT slides covering each chapter of the book - Online Appendix on the Weka workbench; again a very comprehensive learning aid for the open source software that goes with the book - Table of contents, highlighting the many new sections in the 4th edition, along with reviews of the 1st edition, errata, etc. - Provides a thorough grounding in machine learning concepts, as well as practical advice on applying the tools and techniques to data mining projects - Presents concrete tips and techniques for performance improvement that work by transforming the input or output in machine learning methods - Includes a downloadable WEKA software toolkit, a comprehensive collection of machine learning algorithms for data mining tasks-in an easy-to-use interactive interface - Includes open-access online courses that introduce practical applications of the material in the book

Python For Data Analysis

Author : Dr.Vidya Santosh Dhamdhere
Publisher : RK Publication
ISBN 13 : 8197781109
Total Pages : 314 pages
Book Rating : 4.1/5 (977 download)

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Book Synopsis Python For Data Analysis by : Dr.Vidya Santosh Dhamdhere

Download or read book Python For Data Analysis written by Dr.Vidya Santosh Dhamdhere and published by RK Publication. This book was released on 2024-07-25 with total page 314 pages. Available in PDF, EPUB and Kindle. Book excerpt: Python for Data Analysis the essential tools and techniques for data manipulation, cleaning, and analysis in Python. It emphasizes the use of libraries like pandas, NumPy, and Matplotlib to efficiently handle and visualize data. Ideal for analysts and aspiring data scientists, the book provides practical insights, examples, and workflows for handling real-world datasets. Whether for beginners or experienced professionals, it delivers a solid foundation in Python's data analysis ecosystem.

Author :
Publisher : Springer Nature
ISBN 13 : 3031733444
Total Pages : 738 pages
Book Rating : 4.0/5 (317 download)

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Book Synopsis by :

Download or read book written by and published by Springer Nature. This book was released on with total page 738 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Value Added Modeling and Growth Modeling with Particular Application to Teacher and School Effectiveness

Author : Robert W. Lissitz
Publisher : IAP
ISBN 13 : 1623967767
Total Pages : 327 pages
Book Rating : 4.6/5 (239 download)

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Book Synopsis Value Added Modeling and Growth Modeling with Particular Application to Teacher and School Effectiveness by : Robert W. Lissitz

Download or read book Value Added Modeling and Growth Modeling with Particular Application to Teacher and School Effectiveness written by Robert W. Lissitz and published by IAP. This book was released on 2014-12-01 with total page 327 pages. Available in PDF, EPUB and Kindle. Book excerpt: Modeling student growth has been a federal policy requirement under No Child Left Behind (NCLB). In addition to tracking student growth, the latest Race To The Top (RTTP) federal education policy stipulates the evaluation of teacher effectiveness from the perspective of added value that teachers contribute to student learning and growth. Student growth modeling and teacher value-added modeling are complex. The complexity stems, in part, from issues due to non-random assignment of students into classes and schools, measurement error in students’ achievement scores that are utilized to evaluate the added value of teachers, multidimensionality of the measured construct across multiple grades, and the inclusion of covariates. National experts at the Twelfth Annual Maryland Assessment Research Center’s Conference on “Value Added Modeling and Growth Modeling with Particular Application to Teacher and School Effectiveness” present the latest developments and methods to tackle these issues. This book includes chapters based on these conference presentations. Further, the book provides some answers to questions such as what makes a good growth model? What criteria should be used in evaluating growth models? How should outputs from growth models be utilized? How auxiliary teacher information could be utilized to improve value added? How multiple sources of student information could be accumulated to estimate teacher effectiveness? Whether student-level and school-level covariates should be included? And what are the impacts of the potential heterogeneity of teacher effects across students of different aptitudes or other differing characteristics on growth modeling and teacher evaluation? Overall, this book addresses reliability and validity issues in growth modeling and value added modeling and presents the latest development in this area. In addition, some persistent issues have been approached from a new perspective. This edited volume provides a very good source of information related to the current explorations in student growth and teacher effectiveness evaluation.