Latent Variable Models: An Introduction to Factor, Path, and Structural Equation Analysis introduces latent variable models by utilizing path diagrams to explain the relationships in the models. This approach helps less mathematically-inclined readers to grasp the underlying relations among path analysis, factor analysis, and structural equation modeling, and to set up and carry out such analyses. This revised and expanded fifth edition again contains key chapters on path analysis, structural...

Fundamentals of Differential Equations presents the basic theory of differential equations and offers a variety of modern applications in science and engineering. This flexible text allows instructors to adapt to various course emphases (theory, methodology, applications, and numerical methods) and to use commercially available computer software.

Evolved from McQuarrie and Simon's best-selling textbook, Physical Chemistry: A Molecular Approach, this text focuses in on the thermodynamics portion of the course. Although many of the chapters in Molecular Thermodynamics are similar to chapters in the larger physical chemistry text, new material has been added throughout along with three entirely new chapters on "The Energy Levels of Atoms and Molecules", "Thermodynamics of Electrochemical Cells", and "Nonequilibrium Thermodynamics". The t...

Since 1984 this book, now in its 7th edition and thoroughly updated, has introduced the crucial interface between our diet and the essentially chemical nature of what we eat and drink. The contributions of the various classes of natural food components, as well as additives and contaminants, to the nutritional value of foods are considered. These include the nutrients required in large amounts like carbohydrates, proteins, fat, minerals and water as well as the less bulky nutrients such as vi...

Features: Second edition has been updated with a new chapter on Nonparametric Estimation; a significant update to the chapter on Statistical Decision Theory; and other updates throughoutNo requirement for heavy calculus, and simple questions throughout the text help students check their understanding of the materialEach chapter also includes a set of exercises that range in level of difficultySelf-contained, and can be used by the students to understand the theoryChapters and sections marked ...

In this classic work David Bohm, writing clearly and without technical jargon, develops a theory of quantum physics which treats the totality of existence as an unbroken whole.

This revised and updated edition continues to provide a comprehensive introduction to the subject, exploring the world's landforms from a broad systems perspective. It covers the basics of Earth surface forms and processes, while reflecting on the latest developments in the field. Fundamentals of Geomorphology begins with a consideration of the nature of geomorphology, including its relation to society, process and form, history, and geomorphic systems, and moves on to discuss:* Structure: st...

A concise, coherent and easily readable textbook about the field of science communication, connecting the practice of science communicators with theory. In the book, recent trends and shifts in the field resonate, such as the transition from telling about science to interacting with the public and the importance of science communication in health and environmental communication. The chapters have been written by experts in their disciplines, coming from philosophy of science and communication...

Multivariate Analysis for the Behavioral Sciences, Second Edition is designed to show how a variety of statistical methods can be used to analyse data collected by psychologists and other behavioral scientists. Assuming some familiarity with introductory statistics, the book begins by briefly describing a variety of study designs used in the behavioral sciences, and the concept of models for data analysis. The contentious issues of p-values and confidence intervals are also discussed in the i...

For junior/senior undergraduates taking probability and statistics as applied to engineering, science, or computer science. This classic text provides a rigorous introduction to basic probability theory and statistical inference, with a unique balance between theory and methodology. Interesting, relevant applications use real data from actual studies, showing how the concepts and methods can be used to solve problems in the field.

This revision focuses on improved clarity and deeper understan...