Financial Management in Agriculture, Seventh Edition, introduces students to modern concepts and tools of finance, developed and applied to the agricultural sector. Using case studies, practical problems, and a lucid presentation, the text focuses on planning, analyzing, and controlling business performance in agriculture and related financial markets. This new edition addresses recent structural changes in the food system, covering important topics such as the growth in vertical coordination...

For sophomore/junior-level signals and systems courses in Electrical and Computer Engineering departments. This text provides a clear, comprehensive presentation of both the theory and applications in signals, systems, and transforms. It presents the mathematical background of signals and systems, including the Fourier transform, the Fourier series, the Laplace transform, the discrete-time and the discrete Fourier transforms, and the z-transform.

The text integrates MATLAB examples into the p...

A market-leading text, Microeconomics presents economic theory in the context of real, data-driven examples, and then helps you develop your intuition through hallmark Solved Problems. The text places emphasis on modern theories, such as industrial organization theory, game theory, and transaction cost theory, which are useful in analyzing actual markets. At the same time, a step-by-step problem-based learning approach demonstrates how to use microeconomic theory to solve business problems an...

Introduction to Data Mining presents fundamental concepts and algorithms for those learning data mining for the first time. Each concept is explored thoroughly and supported with numerous examples. The text requires only a modest background in mathematics.

Each major topic is organized into two chapters, beginning with basic concepts that provide necessary background for understanding each data mining technique, followed by more advanced concepts and algorithms.

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.

A practical guide, from the basic techniques, through to advanced applications, showing you what operational risk is, and how you can manage it. Mastering Operational Risk provides a step-by-step guide from the basic elements of operational risk through to advanced applications of operational risk management. Focusing on practical applications, it gives you the knowledge needed to understand what operational risk is and puts in place a workable way of managing it.

For all courses in digital electronics, from introductory through advanced. Like previous editions, this text will be used widely in technology classes ranging from high schools and two-year programs to four-year engineering, engineering technology, and computer science programs. Written for all courses in digital electronics from introductory to advanced, from high school to two- and four-year college programs this 12th Edition of Digital Systems thoroughly prepares students for the study of...

A practical, easy-to-read text with a managerial approach to operations management For undergraduate and graduate course in operations management. Operations Management: Processes and Supply Chains provides students with a comprehensive framework for addressing operational process and supply chain issues and uses a systemised approach whilst focusing on issues of current interest. The 13th Edition provides ample opportunities for students to experience the role of a manager with challenging p...

With the rise of multi-core architecture, parallel programming is an increasingly important topic for software engineers and computer system designers. Principles of Parallel Programming, written by well-known researchers Calvin Lin and Lawrence Snyder, focuses on the underlying principles of parallel computation, explains the various phenomena, and clarifies why these phenomena represent opportunities or barriers to successful parallel programming. This book is ideal for an upper-level unde...

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...