Testing Macroeconometric Models

This book gives a comprehensive description of macroeconometric modeling and its development over time. The first part depicts the history of macroeconometric model building, starting with Jan Tinberg

In this book Ray Fair expounds powerful techniques for estimating and analyzing macroeconometric models. He takes advantage of the remarkable decrease in computational costs that has occurred since th

Originally published in 1994, this book, divided into three parts, examines macroeconomic models in a non-technical way. Part I discusses the importance of macroeconomic modelling; Part II examines th

Originally published in 1994, this book, divided into three parts, examines macroeconomic models in a non-technical way. Part I discusses the importance of macroeconomic modelling; Part II examines th

The aim of this monograph is to present a survey of modern statistical techniques applied to educational and psychological testing. A theme that runs through this book is that of making inferences abo

More than ever, mission-critical and business-critical applications depend on object-oriented (OO) software. Testing techniques tailored to the unique challenges of OO technology are necessary to achi

Macroevolutionary inference has historically been treated as a two-step process, involving the inference of a tree, and then inference of a macroevolutionary model using that tree. Newer models blend the two steps. These methods make more complete use of fossils than the previous generation of Bayesian phylogenetic models. They also involve many more parameters than prior models, including parameters about which empiricists may have little intuition. In this Element, we set forth a framework for fitting complex, hierarchical models. The authors ultimately fit and use a joint tree and diversification model to estimate a dated phylogeny of the Cincta (Echinodermata), a morphologically distinct group of Cambrian echinoderms that lack the fivefold radial symmetry characteristic of extant members of the phylum. Although the phylogeny of cinctans remains poorly supported in places, this Element shows how models of character change and diversification contribute to understanding patterns of p

Today's manufacturers are under tremendous pressure to develop new technological and high reliability products in record time. This has motivated reliability engineers to evaluate the reliabilities of

The International Monetary Fund designed and currently uses a series of methods and models for stress-testing financial systems. For the first time these methods have been compiled into a thorough gui

Toxicogenomics-Based Cellular Models is a unique and valuable reference for all academic and professional researchers employing toxicogenomic methods with respect to animal testing for chemical safety

The Wiley-Interscience Paperback Series consists of selected books that have been made more accessible to consumers in an effort to increase global appeal and general circulation. With these new unabr

Martin G. Walser breaks with the well established "advertising paradigm", which postulates that strong brands are above all the result of advertising. Instead, he focuses on "experiential information"

Written for professionals in financial services with responsibility for IT and risk management, Dimitris Chorafas surveys the methodology required and IT systems and structures to support it according

In this book Herman Bierens provides a mathematically rigorous treatment of a number of timely topics in advanced econometrics. His subjects include nonlinear estimation, maximum likelihood theory, ARMA and ARMAX models, unit roots and cointegration, and nonparametric regression, together with an extensive and thorough treatment of the necessary probability theory. Professor Bierens' study is uniquely self-contained, providing the reader with a selection of the latest developments in econometric theory, along with the required introductory material on each topic. It will be of great use to graduate students of econometrics and statistics, and is particularly suitable for self-tuition.

This book presents a critical review of the use of thrombosis models and an original, highly sensitive methodology for testing antithrombotics based on a more adequate understanding of thrombotic proc

There is too much testing in American Public Schools that is robbing teachers of valuable instructional time. Testing Too Much? provides three models to use in cutting back on non-mandated testing by

Model-based testing has long been used in Europe and is becoming more popular in the U.S. and the rest of the world. This book examines systems and software models, provides guidance on model selectio

Presenting information on electrostatic discharge (ESD) and the characterization of semiconductor devices, this book examines ESD physical models and discusses the test systems and testing and specifi

This major study reflects the increasing significance of careful model formation and testing in those academic subjects that are struggling from intuitive and aesthetic obscurantism toward a more disc

We can learn many things from models. Scientists use models to test their ideas. Simple, yet engaging text and colorful images introduce readers to the importance of making predictions, testing ideas,

Computer and information scientists and related researchers examine model-based testing from a number of perspectives that combine various aspects of embedded systems, embedded software, their models,

Despite the difficulty in comparing clinic-based human tests with animal model testing, there is still great value in pursuing translational approaches, as tests and treatment strategies might be deve

This book gives a practical introduction to model-based testing, showing how to write models for testing purposes and how to use model-based testing tools to generate test suites. It is aimed at teste

Wim van der Linden was just given a lifetime achievement award by the National Council on Measurement in Education. There is no one more prominent in the area of educational testing. There are hundred

This tutorial presents 14 papers that provide an overview of software reliability models, testing techniques, and applications. The book is targeted toward design engineers software engineers, researc

Simplifies the treatment of statistical inference focusing on how to specify and interpret models in the context of testing causal theories. Simple bivariate regression, multiple regression, multiple

In the years since the subprime financial crisis of 2007–2011, we have learned a number of important lessons about the crisis, and have subsequently applied appropriate legislation, such as increased capital ratios and systematic stress testing, in order to combat it. However, it would be naive to suggest that such measures have put an end to the possibility of future crises. In this book, senior figures in economics, risk Management, and the banking sector use active research and policy debates to offer a wide perspective on what the next financial crisis may look like and what can be done about it from a regulatory point of view. By first exploring issues of macroeconomic policy, and then studying cutting-edge methodologies, challenging important aspects of testing financial practice, this book will be an essential read for all those studying and researching financial crises, financial regulation and macroprudential policy-making.

Fay and Brittain present statistical hypothesis testing and compatible confidence intervals, focusing on application and proper interpretation. The emphasis is on equipping applied statisticians with enough tools - and advice on choosing among them - to find reasonable methods for almost any problem and enough theory to tackle new problems by modifying existing methods. After covering the basic mathematical theory and scientific principles, tests and confidence intervals are developed for specific types of data. Essential methods for applications are covered, such as general procedures for creating tests (e.g., likelihood ratio, bootstrap, permutation, testing from models), adjustments for multiple testing, clustering, stratification, causality, censoring, missing data, group sequential tests, and non-inferiority tests. New methods developed by the authors are included throughout, such as melded confidence intervals for comparing two samples and confidence intervals associated with Wil

In nonparametric and high-dimensional statistical models, the classical Gauss–Fisher–Le Cam theory of the optimality of maximum likelihood estimators and Bayesian posterior inference does not apply, and new foundations and ideas have been developed in the past several decades. This book gives a coherent account of the statistical theory in infinite-dimensional parameter spaces. The mathematical foundations include self-contained 'mini-courses' on the theory of Gaussian and empirical processes, approximation and wavelet theory, and the basic theory of function spaces. The theory of statistical inference in such models - hypothesis testing, estimation and confidence sets - is presented within the minimax paradigm of decision theory. This includes the basic theory of convolution kernel and projection estimation, but also Bayesian nonparametrics and nonparametric maximum likelihood estimation. In a final chapter the theory of adaptive inference in nonparametric models is developed, includi

Now in its second edition, Forensic DNA Evidence Interpretation is the most comprehensive resource for DNA casework available today. Written by leaders in the fields of biology and statistics, including a contribution from Peter Gill, the father of DNA analysis, the book emphasizes the interpretation of test results and provides the necessary formulae in an easily accessible manner. This latest edition is fully updated and includes current and emerging techniques in this fast-moving field. The book begins by reviewing all pertinent biology, and then provides information on every aspect of DNA analysis. This includes modern interpretation methods and contemporary population genetic models available for estimating DNA frequencies or likelihood ratios. Following a chapter on procedures for validating databases, the text presents overviews and performance assessments of both modern sampling uncertainty methods and current paternity testing techniques, including new guidelines on paternity

All scientific disciplines prize predictive success. Conventional statistical analyses, however, treat prediction as secondary, instead focusing on modeling and hence estimation, testing, and detailed physical interpretation, tackling these tasks before the predictive adequacy of a model is established. This book outlines a fully predictive approach to statistical problems based on studying predictors; the approach does not require predictors correspond to a model although this important special case is included in the general approach. Throughout, the point is to examine predictive performance before considering conventional inference. These ideas are traced through five traditional subfields of statistics, helping readers to refocus and adopt a directly predictive outlook. The book also considers prediction via contemporary 'black box' techniques and emerging data types and methodologies where conventional modeling is so difficult that good prediction is the main criterion available

In the years since the subprime financial crisis of 2007–2011, we have learned a number of important lessons about the crisis, and have subsequently applied appropriate legislation, such as increased capital ratios and systematic stress testing, in order to combat it. However, it would be naive to suggest that such measures have put an end to the possibility of future crises. In this book, senior figures in economics, risk Management, and the banking sector use active research and policy debates to offer a wide perspective on what the next financial crisis may look like and what can be done about it from a regulatory point of view. By first exploring issues of macroeconomic policy, and then studying cutting-edge methodologies, challenging important aspects of testing financial practice, this book will be an essential read for all those studying and researching financial crises, financial regulation and macroprudential policy-making.

This book presents overwhelming evidence that US government stimulus programs over the past fifty years have not worked. Using the best and most modern econometric testing models, it applies 228 separ