Graphical and Longitudinal Models in Credit Analysis PDF Download
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Author: Pete Sewart
Publisher:
ISBN:
Category :
Languages : en
Pages :
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Author: Pete Sewart
Publisher:
ISBN:
Category :
Languages : en
Pages :
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Author: S. Finlay
Publisher: Springer
ISBN: 0230275222
Category : Business & Economics
Languages : en
Pages : 278
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Book Description
This book explains how financial institutions, such as banks and finance houses, manage their portfolios of credit cards, loans, mortgages and other types of retail credit agreements. The second edition has been substantially updated, with new chapters on capital requirements, Basel II, scorecard and portfolio monitoring.
Author: Herman J Ader
Publisher: SAGE
ISBN: 1446205282
Category : Social Science
Languages : en
Pages : 412
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Book Description
This is an ideal text for advanced courses in research methods and experimental design. It argues that the methodology of quantitative research is a unified discipline with basic notions, procedures and ways of reasoning which can be applied across the social, behavioural and life sciences. Key designs, models and methods in research are covered by leading contributors in their field who seek to explain the fundamentals of the research process to enable the student to understand the broader implications and unifying themes.
Author: Steven Finlay
Publisher: Palgrave MacMillan
ISBN:
Category : Business & Economics
Languages : en
Pages : 232
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Book Description
Consumer credit is an integral part of many western societies. This book provides a comprehensive view of how credit-granting institutions operate and discusses the relationship between the strategic objectives set by senior management and the operational strategies employed by credit professionals working at the coal face of credit provision.
Author: Edward J. Dudewicz
Publisher: American Sciences Press, Incorporated
ISBN: 9780935950489
Category : Mathematics
Languages : en
Pages : 260
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Author: Robert E. Weiss
Publisher: Springer Science & Business Media
ISBN: 0387283145
Category : Medical
Languages : en
Pages : 445
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Book Description
The book features many figures and tables illustrating longitudinal data and numerous homework problems. The associated web site contains many longitudinal data sets, examples of computer code, and labs to re-enforce the material. Weiss emphasizes continuous data rather than discrete data, graphical and covariance methods, and generalizations of regression rather than generalizations of analysis of variance.
Author:
Publisher:
ISBN:
Category : Dissertations, Academic
Languages : en
Pages : 716
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Author: Dale L. Zimmerman
Publisher: Chapman and Hall/CRC
ISBN: 9781420064261
Category : Mathematics
Languages : en
Pages : 0
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Book Description
The First Book Dedicated to This Class of Longitudinal Models Although antedependence models are particularly useful for modeling longitudinal data that exhibit serial correlation, few books adequately cover these models. By gathering results scattered throughout the literature, Antedependence Models for Longitudinal Data offers a convenient, systematic way to learn about antedependence models. Illustrated with numerous examples, the book also covers some important statistical inference procedures associated with these models. After describing unstructured and structured antedependence models and their properties, the authors discuss informal model identification via simple summary statistics and graphical methods. They then present formal likelihood-based procedures for normal antedependence models, including maximum likelihood and residual maximum likelihood estimation of parameters as well as likelihood ratio tests and penalized likelihood model selection criteria for the model’s covariance structure and mean structure. The authors also compare the performance of antedependence models to other models commonly used for longitudinal data. With this book, readers no longer have to search across widely scattered journal articles on the subject. The book provides a thorough treatment of the properties and statistical inference procedures of various antedependence models.
Author: Narayanaswamy Balakrishnan
Publisher: John Wiley & Sons
ISBN: 0470405090
Category : Mathematics
Languages : en
Pages : 1027
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Book Description
Inspired by the Encyclopedia of Statistical Sciences, Second Edition, this volume outlines the statistical tools for successfully working with modern life and health sciences research Data collection holds an essential part in dictating the future of health sciences and public health, as the compilation of statistics allows researchers and medical practitioners to monitor trends in health status, identify health problems, and evaluate the impact of health policies and programs. Methods and Applications of Statistics in the Life and Health Sciences serves as a single, one-of-a-kind resource on the wide range of statistical methods, techniques, and applications that are applied in modern life and health sciences in research. Specially designed to present encyclopedic content in an accessible and self-contained format, this book outlines thorough coverage of the underlying theory and standard applications to research in related disciplines such as biology, epidemiology, clinical trials, and public health. Uniquely combining established literature with cutting-edge research, this book contains classical works and more than twenty-five new articles and completely revised contributions from the acclaimed Encyclopedia of Statistical Sciences, Second Edition. The result is a compilation of more than eighty articles that explores classic methodology and new topics, including: Sequential methods in biomedical research Statistical measures of human quality of life Change-point methods in genetics Sample size determination for clinical trials Mixed-effects regression models for predicting pre-clinical disease Probabilistic and statistical models for conception Statistical methods are explored and applied to population growth, disease detection and treatment, genetic and genomic research, drug development, clinical trials, screening and prevention, and the assessment of rehabilitation, recovery, and quality of life. These topics are explored in contributions written by more than 100 leading academics, researchers, and practitioners who utilize various statistical practices, such as election bias, survival analysis, missing data techniques, and cluster analysis for handling the wide array of modern issues in the life and health sciences. With its combination of traditional methodology and newly developed research, Methods and Applications of Statistics in the Life and Health Sciences has everything students, academics, and researchers in the life and health sciences need to build and apply their knowledge of statistical methods and applications.
Author: Karl Bang Christensen
Publisher: John Wiley & Sons
ISBN: 1118574540
Category : Mathematics
Languages : en
Pages : 386
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Book Description
The family of statistical models known as Rasch models started with a simple model for responses to questions in educational tests presented together with a number of related models that the Danish mathematician Georg Rasch referred to as models for measurement. Since the beginning of the 1950s the use of Rasch models has grown and has spread from education to the measurement of health status. This book contains a comprehensive overview of the statistical theory of Rasch models. Part 1 contains the probabilistic definition of Rasch models, Part 2 describes the estimation of item and person parameters, Part 3 concerns the assessment of the data-model fit of Rasch models, Part 4 contains applications of Rasch models, Part 5 discusses how to develop health-related instruments for Rasch models, and Part 6 describes how to perform Rasch analysis and document results.
