This title provides advanced undergraduate as well as graduate students with a timely and comprehensive introduction to today's most commonly encountered statistical and multivariate techniques, while assuming only a limited knowledge of higher-level mathematics.
Multilevel Analysis covers all the main methods, techniques and issues for carrying out multilevel modeling and analysis. The approach is applied, and less mathematical than many other textbooks.
The Second Edition of this classic text outlines the main methods, techniques and issues involved in carrying out multilevel modeling and analysis. Snijders and Boskers' book is an applied, authoritative and accessible introduction to the topic, providing readers with a clear co…
The Second Edition of this classic text introduces the main methods, techniques and issues involved in carrying out multilevel modeling and analysis. Snijders and Bosker's book is an applied, authoritative and accessible introduction to the topic, providing readers with a clear …
La segunda edición de este texto clásico se presentan los principales métodos, técnicas y temas involucrados en la realización de modelos y análisis multinivel. Libro Snijders y de Bosker es una introducción aplicada, serio y accesible, con el tema, ofrecer a los lectores una co…
Properties of linear combinations of ridge functions -- The smoothness problem in ridge function representation -- Approximation of multivariate functions by sums of univariate functions -- Generalized ridge functions and linear superpositions -- Applications to neural networks.
"Recent years have witnessed a growth of interest in the special functions called ridge functions. These functions appear in various fields and under various guises. They appear in partial differential equations (where they are called plane waves), in computerized tomography, an…
"Recent years have witnessed a growth of interest in the special functions called ridge functions. These functions appear in various fields and under various guises. They appear in partial differential equations (where they are called plane waves), in computerized tomography, an…
The diversity of views on causality and mechanisms -- ABM and the vertical view on mechanisms -- The diversity of ABMs -- ABMs and causal inference -- Causal Inference in experimental and observational methods -- Method diversity and causal inference. "The concept of causality …
Explore the issue of causal inference in agent-based computational models in a first-of-it's-kind volume Agent-based Models and Causal Inference delivers an insightful investigation into the conditions under which different quantitative methods can legitimately hold to be able t…
