Model

This classic treatment covers most aspects of first-order model theory and many of its applications to algebra and set theory. Extensively updated and corrected in 1990 to accommodate the most recent

When True hires her best friend, Lulu to be her assistant, she's really excited. True gets the best of both worlds-her dream job and her best friend to keep her company. But, Lulu isn't the best assis

I'm beginning to think Sydney and Vic's marriage was doomed from the start. First Sydney's best friend, Candy, tried to sabotage the wedding. Then Vic's onscreen beau brought a knife to the ceremony -

The Bristol badge sat proudly on a succession of fast, reliable and expensive 6-, 8- and 10- cylinder cars since 1946. Though it was initially revered by the motoring press, an air of mystery descende

Aston Martin - Model by Model traces the turbulent history of Aston Martin and Lagonda through the cars these two famous British marques have produced. Fast, beautiful and superbly well made, they be

Given a data set, you can fit thousands of models at the push of a button, but how do you choose the best? With so many candidate models, overfitting is a real danger. Is the monkey who typed Hamlet actually a good writer? Choosing a model is central to all statistical work with data. We have seen rapid advances in model fitting and in the theoretical understanding of model selection, yet this book is the first to synthesize research and practice from this active field. Model choice criteria are explained, discussed and compared, including the AIC, BIC, DIC and FIC. The uncertainties involved with model selection are tackled, with discussions of frequentist and Bayesian methods; model averaging schemes are presented. Real-data examples are complemented by derivations providing deeper insight into the methodology, and instructive exercises build familiarity with the methods. The companion website features Data sets and R code.

All of life is here in Global Model Village—from the lowest low-rise views of Manhattan to the scorched flagstones of Marrakech, from West London to the West Bank. A tiny mother and child bustle throu

Until recently, a small number of model organisms has been the focus of most research in molecular, cellular, and developmental biology. But in the last few years, due in part to increased interest in

This volume is the first book-length treatment of model-based geostatistics. The text is expository, emphasizing statistical methods and applications rather than the underlying mathematical theory. An

This is a thoroughly revised and enlarged second edition that presents the main results of descriptive complexity theory, that is, the connections between axiomatizability of classes of finite structu

The second edition of "Model Predictive Control" provides a thorough introduction to theoretical and practical aspects of the most commonly used MPC strategies. It bridges the gap between the powerful

A collection of recent papers dealing with some of the new significant results concerning the properties of the Hubbard model, ranging from exact or rigorous statistical mechanics results (either on i

This book provides a handson introduction to modelbased requirements engineering and management by describing a set of views that form the basis for the approach. These views take into account each in

This invaluable book is essential reading for all railway modellers, whatever their level of expertise. The author provides an overall understanding of the purpose of making buildings for a model rai

This judicious selection of articles combines mathematical and numerical methods to apply parameter estimation and optimum experimental design in a range of contexts. These include fields as diverse a

Real-time model predictive controller (MPC) implementation in active vibration control (AVC) is often rendered difficult by fast sampling speeds and extensive actuator-deformation asymmetry. If the co

The title may say “basics,” but this book covers a full range of skills and materials. Beginners building a small table or shelf layout up to experienced modelers assembling the benchwork for a baseme

Becoming a Model Minority adopts sociology of education to analyze the strength of the model minority stereotype in ethnic Korean students' school practices in Northeast China. Academic scholars who a

Revised and updated with the latest results, this Third Edition explores the theory and applications of linear models. The authors present a unified theory of inference from linear models and its gene

This valuable text provides a comprehensive introduction to VAR modelling and how it can be applied. In particular, the author focuses on the properties of the cointegrated VAR model and its implicati

Aging is the progressive decline in biological functions over time. This decline targets macromolecules, cells, tissues and, as a consequence, whole organisms. Despite considerable progress in the dev

Focusing on post-war France, West Germany and Italy, Djelic examines the influence of the American corporate model. She shows how the model fared in each country, meeting various degrees of success, r

General circulation models (GCMs) are the fundamental components of the numerical models used for global weather prediction and anthropogenic climate change simulations. This volume honors the influen