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How to Score North American Big Game by Jack Reneau,Justin Spring Pdf
While the definition of a successful hunt is left to its participants, the Boone and Crockett Club scoring system remains the benchmark for identifying mature big-game animals and healthy big-game populations. This This handy reference guide is a must-have for your hunting camp!
Scoring the Score is the first scholarly examination of the orchestrator's role in the contemporary film industry. Orchestrators are crucial to the production of a film's score, yet they have not received significant consideration in film-music research. This book sheds light on this often-overlooked yet vital profession. It considers the key processes of orchestrating and arranging and how they relate, musical and filmic training, the wide-ranging responsibilities of the orchestrator on a film-scoring project, issues related to working practices, the impact of technology, and the differences between the UK and US production processes as they affect orchestrators. Drawing on interviews with American and British orchestrators and composers, Scoring the Score aims to expose this often hidden profession through a rigorous examination of the creative process and working practices, and analysis of the skills, training and background common to orchestrators. It will appeal to scholars, students, and practitioners of film music.
What Borrowers Need to Know about Credit Scoring Models and Credit Scores by United States. Congress. House. Committee on Financial Services. Subcommittee on Oversight and Investigations Pdf
Credit Data and Scoring: The First Triumph of Big Data and Big Algorithms illuminates the often-hidden practice of predicting an individual's economic responsibility. Written by a leading practitioner, it examines the international implications of US leadership in credit scoring and what other countries have learned from it in building their own systems. Through its comprehensive contemporary perspective, the book also explores how algorithms and big data are driving the future of credit scoring. By revealing a new big picture and data comparisons, it delivers useful insights into legal, regulatory and data manipulation. Provides insights into credit scoring goals and methods Examines U.S leadership in developing credit data and algorithms and how other countries depart from it Analyzes the growing influence of algorithms in data scoring
Handbook of Automated Scoring by Duanli Yan,André A. Rupp,Peter W. Foltz Pdf
"Automated scoring engines [...] require a careful balancing of the contributions of technology, NLP, psychometrics, artificial intelligence, and the learning sciences. The present handbook is evidence that the theories, methodologies, and underlying technology that surround automated scoring have reached maturity, and that there is a growing acceptance of these technologies among experts and the public." From the Foreword by Alina von Davier, ACTNext Senior Vice President Handbook of Automated Scoring: Theory into Practice provides a scientifically grounded overview of the key research efforts required to move automated scoring systems into operational practice. It examines the field of automated scoring from the viewpoint of related scientific fields serving as its foundation, the latest developments of computational methodologies utilized in automated scoring, and several large-scale real-world applications of automated scoring for complex learning and assessment systems. The book is organized into three parts that cover (1) theoretical foundations, (2) operational methodologies, and (3) practical illustrations, each with a commentary. In addition, the handbook includes an introduction and synthesis chapter as well as a cross-chapter glossary.
Automated Essay Scoring by Mark D. Shermis,Jill C. Burstein Pdf
This new volume is the first to focus entirely on automated essay scoring and evaluation. It is intended to provide a comprehensive overview of the evolution and state-of-the-art of automated essay scoring and evaluation technology across several disciplines, including education, testing and measurement, cognitive science, computer science, and computational linguistics. The development of this technology has led to many questions and concerns. Automated Essay Scoring attempts to address some of these questions including: *How can automated scoring and evaluation supplement classroom instruction? *How does the technology actually work? *Can it improve students' writing? *How reliable is the technology? *How can these computing methods be used to develop evaluation tools? *What are the state-of the-art essay evaluation technologies and automated scoring systems? Divided into four parts, the first part reviews the teaching of writing and how computers can contribute to it. Part II analyzes actual automated essay scorers including e-raterTM, Intellimetric, and the Intelligent Essay Assessor. The third part analyzes related psychometric issues, and the final part reviews innovations in the field. This book is ideal for researchers and advanced students interested in automated essay scoring from the fields of testing and measurement, education, cognitive science, language, and computational linguistics.
Test Scoring provides a summary of traditional true score test theory and modern item response theory related to scoring tests, as well as novel developments resulting from the integration of these approaches. The background material introduced in the first four chapters builds a foundation for the new developments covered in later chapters. These new methods offer alternative psychometric approaches to scoring complex assessments. Each of the book's contributors draws from the classic literature of traditional test theory, as well as psychometric developments of the past decade. The emphasis is on large-scale educational measurement but the topics and procedures may be applied broadly within many measurement contexts. Numerous graphs and illustrative examples based on real tests and actual data are integrated throughout. This multi-authored volume shows the reader how to combine the coded outcomes on individual test items into a numerical summary about the examinee's performance. This book is intended for researchers and students in education and other social sciences interested in educational assessment and policy, the design and development of tests, and the procedures for test administration and scoring. Prerequisites include an introduction to educational and psychological measurement and basic statistics. Knowledge of differential and integral calculus and matrix algebra is helpful but not required.
D-scoring Method of Measurement by Dimiter Dimitrov Pdf
D-scoring Method of Measurement presents a unified framework of classical and latent measurement referred to as D-scoring method of measurement (DSM). Provided are detailed descriptions of DSM procedures and illustrative examples of how to apply the DSM in various scenarios of measurement. The DSM is designed to combine merits of the traditional CTT and IRT for the purpose of transparency, ease of interpretations, computational simplicity of test scoring and scaling, and practical efficiency, particularly in large-scale assessments. Through detailed descriptions of DSM procedures, this book shows how practical applications of such procedures are facilitated by the inclusion of operationalized guidance for their execution using the computer program DELTA for DSM-based scoring, equating, and item analysis of test data. In doing so, the book shows how DSM procedures can be readily translated into computer source codes for other popular software packages such as R. D-scoring Method of Measurement equips researchers and practitioners in the field of educational and psychological measurement with a comprehensive understanding of the DSM as a unified framework of classical and latent scoring, equating, and psychometric analysis.
· Credit scoring is a vital and sometimes misunderstood tool in financial services · Evaluates the different systems available Bankers and lenders depend on credit scoring to determine the best credit risks--and ensure maximum profit and security from their loan portfolios. Handbook of Credit Scoring offers the insights of a select group of experts on credit scoring systems. Topics include: Scoring Applications, Generic and Customized Scoring Models, Using consumer credit information, Scorecard modelling with continuous vs. Classed variables, Basic scorecard Development and Validation, Going beyond Credit Score, Data mining, Scorecard collection strategies, project management for Credit Scoring
The Credit Scoring Toolkit by Raymond Anderson Pdf
The Credit Scoring Toolkit provides an all-encompassing view of the use of statistical models to assess retail credit risk and provide automated decisions.In eight modules, the book provides frameworks for both theory and practice. It first explores the economic justification and history of Credit Scoring, risk linkages and decision science, statistical and mathematical tools, the assessment of business enterprises, and regulatory issues ranging from data privacy to Basel II. It then provides a practical how-to-guide for scorecard development, including data collection, scorecard implementation, and use within the credit risk management cycle.Including numerous real-life examples and an extensive glossary and bibliography, the text assumes little prior knowledge making it an indispensable desktop reference for graduate students in statistics, business, economics and finance, MBA students, credit risk and financial practitioners.
SCORING THE SCREEN: THE SECRET LANGUAGE OF FILM MUSIC Today, musical composition for films is more popular than ever. In professional and academic spheres, media music study and practice are growing; undergraduate and postgraduate programs in media scoring are offered by dozens of major colleges and universities. And increasingly, pop and contemporary classical composers are expanding their reach into cinema and other forms of screen entertainment. Yet a search on Amazon reveals at least 50 titles under the category of film music, and, remarkably, only a meager few actually allow readers to see the music itself, while none of them examine landmark scores like Vertigo, To Kill a Mockingbird, Patton, The Untouchables, or The Matrix in the detail provided by Scoring the Screen: The Secret Language of Film Music. This is the first book since Roy M. Prendergast's 1977 benchmark, Film Music: A Neglected Art, to treat music for motion pictures as a compositional style worthy of serious study. Through extensive and unprecedented analyses of the original concert scores, it is the first to offer both aspiring composers and music educators with a view from the inside of the actual process of scoring-to-picture. The core thesis of Scoring the Screen is that music for motion pictures is indeed a language, developed by the masters of the craft out of a dramatic and commercial necessity to communicate ideas and emotions instantaneously to an audience. Like all languages, it exists primarily to convey meaning. To quote renowned orchestrator Conrad Pope (who has worked with John Williams, Howard Shore, and Alexandre Desplat, among others): “If you have any interest in what music 'means' in film, get this book. Andy Hill is among the handful of penetrating minds and ears engaged in film music today.”
Credit Data and Scoring: The First Triumph of Big Data and Big Algorithms illuminates the often-hidden practice of predicting an individual’s economic responsibility. Written by a leading practitioner, it examines the international implications of US leadership in credit scoring and what other countries have learned from it in building their own systems. Through its comprehensive contemporary perspective, the book also explores how algorithms and big data are driving the future of credit scoring. By revealing a new big picture and data comparisons, it delivers useful insights into legal, regulatory and data manipulation. Provides insights into credit scoring goals and methods Examines U.S leadership in developing credit data and algorithms and how other countries depart from it Analyzes the growing influence of algorithms in data scoring
Automated Scoring of Complex Tasks in Computer-based Testing by David M. Williamson,Robert J. Mislevy,Isaac I. Bejar Pdf
This is the first volume to provide the latest methods and examples of "best practices" in the design, implementation, and evaluation of automated scoring for complex assessments. The contributing authors, all noted leaders in the field, introduce each m
Army School Training Performance of EM Scoring Low on AFQT (U) by William H. Helme Pdf
In response to the Army's need to attain optimal use of manpower skills and aptitudes, the New Classification Techniques Task is engaged in a continuing series of studies to develop increasingly accurate and differentiated measures of individual potential. One objective of the Task is to determine the extent to which men of low or low average general ability can be successfully trained in Army school courses. Studies to evaluate Army classification tests as predictors of success in MOS training included enlisted men admitted from 1953-1957 whose AFQT scores were below current enlistment standards. From available data on 48 courses, estimates were made of the expected success in training of enlisted men in AFQT category IV (10th to 30th percentile) and in lower category III (31st to 49th percentile). Substantial numbers of AFQT category IV enlisted men could successfully complete MOS training courses of moderate or low difficulty level. However, supplementary aptitude area prerequisites are essential to assure selection of men who have sufficient probability of success in a given course to keep attrition at permissible levels--usually under 10 percent. For the more difficult courses, failure rates of category IV men were estimated as generally exceeding acceptable levels, even in courses for which the men had attained the requisite 90 or 100 aptitude area scores.