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Applied Multivariate Statistics with R

This book brings the power of multivariate statistics to graduate-level practitioners, making these analytical methods accessible without lengthy mathematical derivations. Using the open source, shareware program R, Professor Zelterman demonstrates the process and outcomes for a wide array of multivariate statistical applications. Chapters cover graphical displays, linear algebra, univariate, bivariate and multivariate normal distributions, factor methods, linear regression, discrimination and classification, clustering, time series models, and additional methods. Zelterman uses practical examples from diverse disciplines to welcome readers from a variety of academic specialties. Those with backgrounds in statistics will learn new methods while they review more familiar topics. Chapters include exercises, real data sets, and R implementations. The data are interesting, real-world topics, particularly from health and biology-related contexts. As an example of the approach, the text examines a sample from the Behavior Risk Factor Surveillance System, discussing both the shortcomings of the data as well as useful analyses. The text avoids theoretical derivations beyond those needed to fully appreciate the methods. Prior experience with R is not necessary.

This book brings the power of multivariate statistics to graduate-level practitioners, making these analytical methods accessible without lengthy mathematical derivations.

Physicochemical Methods for Water and Wastewater Treatment

Physicochemical Methods for Water and Wastewater Treatment

Physicochemical Methods for Water and Wastewater Treatment

Ingredient Branding

Making the Invisible Visible

An Ingredient Brand is exactly what the name implies: an ingredient or component of a product that has its own brand identity. This is the first comprehensive book that explains how Ingredient Branding works and how brand managers can successfully improve the performance of component marketing. The authors have examined more than one hundred examples, analyzed four industries and developed nine detailed case studies to demonstrate the viability of this marketing innovation. The new concepts and principles can easily be applied by professionals. In the light of the success stories of Intel, GoreTex, Dolby, TetraPak, Shimano, and Teflon it can be expected that component suppliers will increasingly use Ingredient Branding strategies in the future.

Philip Kotler is the S. C. Johnson & Son Distinguished Professor of International
Marketing at the Kellogg School of Management, Northwestern University,
Evanston, Illinois. He received his Master's Degree at the University of Chicago
and his ...

Efficiency and Sustainability in the Energy and Chemical Industries

Scientific Principles and Case Studies, Second Edition

Using classic thermodynamic principles as the point of departure, this new edition of a popular resource supplies the understanding and tools required to measure process efficiency and sustainability with much improved accuracy. Exploring the driving forces in the chemical and power industries, Efficiency and Sustainability in the Energy and Chemical Industries: Scientific Principles and Case Studies, Second Edition investigates why losses occur and explains how to reduce such losses. Numerous case studies, examples, and problems illustrate the thermodynamic analysis of process performance to explain how to effectively analyze and optimize work flows and environmental resources. The authors compare the present industrial society with an emerging one in which mass production and consumption are in harmony with the natural environment through closure of material cycles. In this second edition, the book’s structure of Basics, Thermodynamic Analysis of Processes, Case Studies, and Sustainability has been unaffected, but a few additions have been made. New and updated information includes: A new chapter dedicated to the increasing levels of CO2 emissions, with special attention to the removal and storage of CO2 A new chapter on the rapidly emerging hydrogen economy An extended chapter on lifecycle analysis that examines the fate of the quality of energy during the lifecycle Increased focus on integrating the environment into the thermodynamic analysis of the systems or processes considered New problem sets and exercises Complete with the keys to a quantification of process efficiency and sustainability, this cutting-edge resource is the ideal guide for those engaged in the transition from fossil-based fuels to renewable and sustainable energy sources using low-waste procedures.

Using classic thermodynamic principles as the point of departure, this new edition of a popular resource supplies the understanding and tools required to measure process efficiency and sustainability with much improved accuracy.

Symbolic Methods in Control System Analysis and Design

Fifteen contributions provide an up-to-date treatment of issues in system modeling, system analysis, design and synthesis methods, and nonlinear systems. Coverage includes the application of multidimensional Laplace transforms to the modeling of nonlinear elements, a survey of customized computer algebra modeling programs for multibody dynamical systems, robust control of linear systems using a new linear programming approach, the development and testing of a new branch-and-bound algorithm fir global optimization using symbolic algebra techniques, and dynamic sliding mode control design using symbolic algebra tools.

Advances in computer technology have had a major effect on control engineering
, not only in the implementation of control systems but also for control system
analysis and design. They have allowed new algorithms and techniques to be ...