An Observational study is an empiric investigation of the effects caused by a treatment, policy, or intervention in which it is not possible to assign subjects at random to treatment or control, as would be done in a controlled experiment. Observational studies are common in most fields that study the effects of treatments on people. The second edition of Observational Studies is about 50 percent longer than the first edition, with many new examples and methods. There are new chapters on nonadditive models for treatment effects (Chapter 5) and planning observational studies (Chapter 11) and...
An Observational study is an empiric investigation of the effects caused by a treatment, policy, or intervention in which it is not possible to assign...
Advanced Statistics provides a rigorous development of statistics that emphasizes the definition and study of numerical measures that describe population variables. Volume 1 studies properties of commonly used descriptive measures. Volume 2 considers use of sampling from populations to draw inferences concerning properties of populations. The volumes are intended for use by graduate students in statistics and professional statisticians, although no specific prior knowledge of statistics is assumed. The rigorous treatment of statistical concepts requires that the reader be familiar with...
Advanced Statistics provides a rigorous development of statistics that emphasizes the definition and study of numerical measures that describe ...
Since our first edition of this book, many developments in statistical mod- elling based on generalized linear models have been published, and our primary aim is to bring the book up to date. Naturally, the choice of these recent developments reflects our own teaching and research interests. The new organization parallels that of the first edition. We try to motiv- ate and illustrate concepts with examples using real data, and most data sets are available on http: / fwww. stat. uni-muenchen. de/welcome_e. html, with a link to data archive. We could not treat all recent developments in the...
Since our first edition of this book, many developments in statistical mod- elling based on generalized linear models have been published, and our pri...
Principal component analysis is central to the study of multivariate data. Although one of the earliest multivariate techniques it continues to be the subject of much research, ranging from new model- based approaches to algorithmic ideas from neural networks. It is extremely versatile with applications in many disciplines. The first edition of this book was the first comprehensive text written solely on principal component analysis. The second edition updates and substantially expands the original version, and is once again the definitive text on the subject. It includes core material,...
Principal component analysis is central to the study of multivariate data. Although one of the earliest multivariate techniques it continues to be the...
"The outstanding strengths of the book are its topic coverage, references, exposition, examples and problem sets... This book is an excellent addition to any mathematical statistician's library." -Bulletin of the American Mathematical Society In this new edition the author has added substantial material on Bayesian analysis, including lengthy new sections on such important topics as empirical and hierarchical Bayes analysis, Bayesian calculation, Bayesian communication, and group decision making. With these changes, the book can be used as a self-contained introduction to Bayesian analysis....
"The outstanding strengths of the book are its topic coverage, references, exposition, examples and problem sets... This book is an excellent addition...
The modern theory of Sequential Analysis came into existence simultaneously in the United States and Great Britain in response to demands for more efficient sampling inspection procedures during World War II. The develop ments were admirably summarized by their principal architect, A. Wald, in his book Sequential Analysis (1947). In spite of the extraordinary accomplishments of this period, there remained some dissatisfaction with the sequential probability ratio test and Wald's analysis of it. (i) The open-ended continuation region with the concomitant possibility of taking an arbitrarily...
The modern theory of Sequential Analysis came into existence simultaneously in the United States and Great Britain in response to demands for more eff...
This book provides a theoretical foundation for the analysis of discrete data such as count and binary data in the longitudinal setup. Unlike the existing books, this book uses a class of auto-correlation structures to model the longitudinal correlations for the repeated discrete data that accommodates all possible Gaussian type auto-correlation models as special cases including the equi-correlation models. This new dynamic modelling approach is utilized to develop theoretically sound inference techniques such as the generalized quasi-likelihood (GQL) technique for consistent and efficient...
This book provides a theoretical foundation for the analysis of discrete data such as count and binary data in the longitudinal setup. Unlike the e...
Following the classical sampling theory, the survey statistician selects samples of people, businesses or others, in order to obtain the desired information. Drawing the samples is usually done by randomly selecting from a list representing the target population. In practice, this list is often not available. At best, the statistician only has access to a different list, indirectly related to the targeted population.
The example of a survey of children where the statistician only has a list of adult persons is a typical case. In this case, the statistician first draws a sample of...
Following the classical sampling theory, the survey statistician selects samples of people, businesses or others, in order to obtain the desired in...
This volume comprises a collection of papers by world- renowned experts on image analysis. The papers range from survey articles to research papers, and from theoretical topics such as simulated annealing through to applied image reconstruction. It covers applications as diverse as biomedicine, astronomy, and geophysics. As a result, any researcher working on image analysis will find this book provides an up-to-date overview of the field and in addition, the extensive bibliographies will make this a useful reference.
This volume comprises a collection of papers by world- renowned experts on image analysis. The papers range from survey articles to research papers, a...
The Springer Handbook of Auditory Research presents a series of comprehen- sive and synthetic reviews of the fundamental topics in modern auditory research. The volumes are aimed at all individuals with interests in hear- ing research including advanced graduate students, postdoctoral researchers, and clinical investigators. The volumes are intended to introduce new investi- gators to important aspects of hearing science and to help established investi- gators to understand better the fundamental theories and data in fields of hearing that they may not normally follow closely. Each volume is...
The Springer Handbook of Auditory Research presents a series of comprehen- sive and synthetic reviews of the fundamental topics in modern auditory res...
