This book presents the state of the art in multilevel analysis, with an emphasis on more advanced topics. These topics are discussed conceptually, analyzed mathematically, and illustrated by empirical examples. Multilevel analysis is the statistical analysis of hierarchically and non-hierarchically nested data. The simplest example is clustered data, such as a sample of students clustered within schools. Multilevel data are especially prevalent in the social and behavioral sciences and in the biomedical sciences. The chapter authors are all leading experts in the field. Given the...
This book presents the state of the art in multilevel analysis, with an emphasis on more advanced topics. These topics are discussed conceptually, ...
The book first discusses in depth various aspects of the well-known inconsistency that arises when explanatory variables in a linear regression model are measured with error. Despite this inconsistency, the region where the true regression coeffecients lies can sometimes be characterized in a useful way, especially when bounds are known on the measurement error variance but also when such information is absent. Wage discrimination with imperfect productivity measurement is discussed as an important special case.
Next, it is shown that the inconsistency is not accidental but...
The book first discusses in depth various aspects of the well-known inconsistency that arises when explanatory variables in a linear regression mod...
This book presents the eight tutorial lectures given at the Second International School on Advanced Functional Programming, held in Olympia, WA, USA, in August 1996. After many years of development, functional programming languages have matured to a point where they can be used for much larger applications than has been typical in the past. These tutorial notes have been written for students and professionals in software engineering who are interested in exploring beyond the elementary concepts of functional programming and in progressing towards large-scale programming and structured...
This book presents the eight tutorial lectures given at the Second International School on Advanced Functional Programming, held in Olympia, WA, USA, ...
Multilevel analysis is the statistical analysis of hierarchically and non-hierarchically nested data. The simplest example is clustered data, such as a sample of students clustered within schools. Multilevel data are especially prevalent in the social and behavioral sciences and in the bio-medical sciences. The models used for this type of data are linear and nonlinear regression models that account for observed and unobserved heterogeneity at the various levels in the data.
This book presents the state of the art in multilevel analysis, with an emphasis on more advanced topics....
Multilevel analysis is the statistical analysis of hierarchically and non-hierarchically nested data. The simplest example is clustered data, such ...
