Kategoria BISAC: Mathematics >> Probability & Statistics - Multivariate Analysis

Stephen Van Evera greeted new graduate students at MIT with a commonsense introduction to qualitative methods in the social sciences. His helpful hints, always warmly received, grew from a handful of memos to an underground classic primer. That primer evolved into a book of how-to information about graduate study, which is essential reading for graduate students and undergraduates in political science, sociology, anthropology, economics, and history - and for their advisers.

-How should we frame, assess, and apply theories in the social sciences? "I am unpersuaded by the view that...

These four volumes provide a collection of key publications on categorical data analysis, carefully put together so that the reader can easily navigate, understand and put in context the major concepts and methods of analysing categorical data. The major work opens with a series of papers that address general issues in CDA, and progresses with publications which follow a logical movement from the statistics for analysing a single categorical variable, to those for studying the relationships between two and more categorical variables, and to categorical variables in some of more advanced...

Fulfilling the need for a practical user s guide, Statistics in MATLAB: A Primer provides an accessible introduction to the latest version of MATLAB(r) and its extensive functionality for statistics. Assuming a basic knowledge of statistics and probability as well as a fundamental understanding of linear algebra concepts, this book:

• Covers capabilities in the main MATLAB package, the Statistics Toolbox, and the student version of MATLAB
• Presents examples of how MATLAB can be used to analyze data
• Offers access to a companion website with data sets and additional...

Semialgebraic Statistics and Latent Tree Models explains how to analyze statistical models with hidden (latent) variables. It takes a systematic, geometric approach to studying the semialgebraic structure of latent tree models.

The first part of the book gives a general introduction to key concepts in algebraic statistics, focusing on methods that are helpful in the study of models with hidden variables. The author uses tensor geometry as a natural language to deal with multivariate probability distributions, develops new combinatorial tools to study models...

In honour of Professor Erkki Oja, one of the pioneers of Independent Component Analysis (ICA), this book reviews key advances in the theory and application of ICA, as well as its influence on signal processing, pattern recognition, machine learning, and data mining.

Examples of topics which have developed from the advances of ICA, which are covered in the book are:

• A unifying probabilistic model for PCA and ICA
• Optimization methods for matrix decompositions
• Insights into the FastICA algorithm
• Unsupervised deep learning
• Machine...

This book discusses equi-quantile values and their use in generating decision alternatives under the twofold complexities of uncertainty and dependence, offering scope for surrogating between two alternative portfolios when they are correlated. The book begins with a discussion on components of rationality and learning models as indispensable concepts in decision-making processes. It identifies three-fold complexities in such processes: uncertainty, dependence and dynamism.

The book is a novel attempt to seek tangible solutions for such decision problems. To do so, four hundred...

Longitudinal studies often incur several problems that challenge standard statistical methods for data analysis. These problems include non-ignorable missing data in longitudinal measurements of one or more response variables, informative observation times of longitudinal data, and survival analysis with intermittently measured time-dependent covariates that are subject to measurement error and/or substantial biological variation. Joint modeling of longitudinal and time-to-event data has emerged as a novel approach to handle these issues.