Product Description: Now in its fourth edition, Behavioral Research and Analysis: An Introduction to Statistics within the Context of Experimental Design presents an overview of statistical methods within the context of experimental design. It covers fundamental topics such as data collection, data analysis, interpretation of results, and communication of findings...read more

Product Description: Competitive Innovation and Improvement: Statistical Design and Control explains how to combine two widely known statistical methods―statistical design and statistical control―in a manner that can solve any business, government, or research problem quickly with sustained results...read more

Product Description: Addresses the statistical, mathematical, and computational aspects of the construction of packages and analysis of variance (ANOVA) programs. Includes a disk at the back of the book that contains all program codes in four languages, APL, BASIC, C, and FORTRAN...read more (view table of contents, read Amazon.com's description)

Helps readers in learning how to design, conduct, and analyze experiments that optimize performance in products and processes. This book focuses on the use of the computer, providing output from two software products: Minitab and Design Expert. It also offers material on important topics, including follow-up experimentation and split-plot design.

Product Description: An accessible and practical approach to the design and analysis of experiments in the health sciences Design and Analysis of Experiments in the Health Sciences provides a balanced presentation of design and analysis issues relating to data in the health sciences and emphasizes new research areas, the crucial topic of clinical trials, and state-of-the- art applications...read more

Product Description: Provides timely applications, modifications, and extensions of experimental designs for a variety of disciplines Design and Analysis of Experiments, Volume 3: Special Designs and Applications continues building upon the philosophical foundations of experimental design by providing important, modern applications of experimental design to the many fields that utilize them...read more

Product Description: The increased use of non-inferiority analysis has been accompanied by a proliferation of research on the design and analysis of non-inferiority studies. Using examples from real clinical trials, Design and Analysis of Non-Inferiority Trials brings together this body of research and confronts the issues involved in the design of a non-inferiority trial...read more

Product Description: Written for animal researchers, this book provides a comprehensive guide to the design and statistical analysis of animal experiments. It has long been recognised that the proper implementation of these techniques helps reduce the number of animals needed...read more

Product Description: Praise for the First Edition "This...novel and highly stimulating book, which emphasizes solving real problems...should be widely read. It will have a positive and lasting effect on the teaching of modeling and statistics in general...read more

Experiments are the most effective way to learn about the world. By cleverly interfering with something to see how it reacts we are able to find out how it works. In contrast to passive observation, experimenting provides us with data relevant to our research and thus less time and effort is spent separating relevant from irrelevant information.  The art of experimentation is often learnt by doing, so an intuitive understanding of the experimental method usually evolves gradually through years of trial and error. This book speeds up the journey for the reader to becoming a proficient experimenter.  Organized in two parts, this unique text begins by providing a general introduction to the scientific approach to experimentation.  It then describes the processes and tools required, including the relevant statistical and experimental methods.   Towards the end of the book a methodology is presented, which leads the reader through the three phases of an experiment: ‘Planning’, ‘Data Collection’, and ‘Analysis and Synthesis’.  Experiment! Provides an excellent introduction to the methodology and implementation of experimentation in the natural, engineering and medical sciences Puts practical tools into scientific context Features a number of selected actual experiments to explore what are the key characteristics of good experiments Includes examples and exercises in every chapter  This book focuses on general research skills, such as adopting a scientific mindset, learning how to plan meaningful experiments and understanding the fundamentals of collecting and interpreting data. It is directed to anyone engaged in experiments, especially Ph.D. and masters students just starting to create and develop their own experiments.

Excellent condition- like new! Some minor scratches on back cover.

Product Description: As computers proliferate and as the field of computer graphics matures, it has become increasingly important for computer scientists to understand how users perceive and interpret computer graphics. Experimental Design: From User Studies to Psychophysics is an accessible introduction to psychological experiments and experimental design, covering the major components in the design, execution, and analysis of perceptual studies...read more

Written by a renowned psychologist Roger E. Kirk of Baylor University, this classic text provides the graduate student in experimental design with detailed coverage of the designs and techniques with the greatest potential use in behavioral research. Kirk's book is known for its emphasis on the logical rather than the mathematical basis of experimental design; for its in-depth exploration of the relationship between analysis of variance and regression analysis; for its introduction of the concept of building block designs; and for its comprehensive scope that describes all of the ANOVA experimental designs that are potentially useful in the behavioral sciences and education.

Emphasizing a practical approach for engineers and scientists, A First Course in Differential Equations, Modeling, and Simulation avoids overly theoretical explanations and shows readers how differential equations arise from applying basic physical principles and experimental observations to engineering systems. It also covers classical methods for obtaining the analytical solution of differential equations and Laplace transforms. In addition, the authors discuss how these equations describe mathematical systems and how to use software to solve sets of equations where analytical solutions cannot be obtained. Using simple physics, the book introduces dynamic modeling, the definition of differential equations, two simple methods for obtaining their analytical solution, and a method to follow when modeling. It then presents classical methods for solving differential equations, discusses the engineering importance of the roots of a characteristic equation, and describes the response of first- and second-order differential equations. A study of the Laplace transform method follows with explanations of the transfer function and the power of Laplace transform for obtaining the analytical solution of coupled differential equations. The next several chapters present the modeling of translational and rotational mechanical systems, fluid systems, thermal systems, and electrical systems. The final chapter explores many simulation examples using a typical software package for the solution of the models developed in previous chapters. Providing the necessary tools to apply differential equations in engineering and science, this text helps readers understand differential equations, their meaning, and their analytical and computer solutions. It illustrates how and where differential equations develop, how they describe engineering systems, how to obtain the analytical solution, and how to use software to simulate the systems.