Nonrecursive Models is a clear and concise introduction to the estimation and assessment of nonrecursive simultaneous equation models. This unique monograph gives practical advice on the specification and identification of simultaneous equation models, how to assess the quality of the estimates, and how to correctly interpret results.

A guide to the British Royal Navy in the Napoleonic Age for fans of the Aubrey–Maturin series: "A gem of a book" ( Minneapolis Star Tribune).What is a sand-grouse, and where does it live? What are the medical properties of lignum vitae, and how did Stephen Maturin use it to repair his viola? Who is Admiral Lord Keith, and why is his wife so friendly with Captain Jack Aubrey?More than any other contemporary author, Patrick O'Brian knew the ...

This book comes complete with a Touch-or-Click Table of Contents, divided by each section.Like his contemporary, Francis of Assisi, Dominic saw the need for a new type of organization, and the quick growth of the Dominicans and Franciscans during their first century of existence confirms that the orders of mendicant friars met a need.He had accompanied as canon Diego de Acebo, Bishop of Osma on a diplomatic mission to Denmark, to arrange the marriage between the son of King Alfonso VIII of...

The standard rules of probability can be interpreted as uniquely valid principles in logic. In this book, E. T. Jaynes dispels the imaginary distinction between 'probability theory' and 'statistical inference', leaving a logical unity and simplicity, which provides greater technical power and flexibility in applications. This book goes beyond the conventional mathematics of probability theory, viewing the subject in a wider context. New results are discussed, along with applications of pro...

Did mandatory busing programs in the 1970s increase the school achievement of disadvantaged minority youth? Does obtaining a college degree increase an individual's labor market earnings? Did the use of the butterfly ballot in some Florida counties in the 2000 presidential election cost Al Gore votes? If so, was the number of miscast votes sufficiently large to have altered the election outcome? At their core, these types of questions are simple cause-and-effect questions. Simple cause-and...

Ecological Models and Data in R is the first truly practical introduction to modern statistical methods for ecology. In step-by-step detail, the book teaches ecology graduate students and researchers everything they need to know in order to use maximum likelihood, information-theoretic, and Bayesian techniques to analyze their own data using the programming language R. Drawing on extensive experience teaching these techniques to graduate students in ecology, Benjamin Bolker shows ...

Building upon the success of the first edition, Statistics Using Stata uses the latest version of Stata to meet the needs of today's students. Engaging and accessible for students from a variety of mathematical backgrounds, this textbook integrates statistical concepts with the Stata (version 16) software package. It aligns Stata commands with examples based on real data, enabling students to understand statistics in a way that reflects statistical practice. Capitalizing on Stata's menu-dr...

Statistics for Sport and Exercise Studies guides the student through the full research process, from selecting the most appropriate statistical procedure, to analysing data, to the presentation of results, illustrating every key step in the process with clear examples, case-studies and data taken from real sport and exercise settings.Every chapter includes a range of features designed to help the student grasp the underlying concepts and relate each statistical procedure t...

The fundamental principles of the scientific method are essential for enhancing perspective, increasing productivity, and stimulating innovation. These principles include deductive and inductive logic, probability, parsimony and hypothesis testing, as well as science's presuppositions, limitations, ethics and bold claims of rationality and truth. The examples and case studies drawn upon in this book span the physical, biological and social sciences; include applications in agriculture, eng...

Rosaline Barbour draws on her extensive teaching experience to provide a clear, user-friendly introduction to the craft of doing qualitative research. Each chapter includes examples of real-life qualitative data and a range of exercises to help students get a feel for the process of generating and analysing qualitative data.The second edition includes:New examples from a range of social science disciplines, making this the perfect book no matter what course you’re stu...

This book provides an integrated introduction to multivariate multiple regression analysis (MMR) and multivariate analysis of variance (MANOVA). Beginning with an overview of the univariate general linear model, this volume defines the key steps in analyzing linear model data and introduces multivariate linear model analysis as a generalization of the univariate model. Richard F. Haase focuses on multivariate measures of association for four common multivariate test statistics, presents a ...

T******his practical guide teaches nonstatisticians how to analyze and interpret loglinear models using the multigraphT****he Association Graph and the Multigraph for Loglinear Models willhelp students, particularly those studying the analysis of categorical data, to develop the ability to evaluate and unravel even the most complex loglinear models without heavy calculations or statistical software. This supplemental text reviews loglinear...