Найти книгу: "Well-Designed"

Evidence-based approach to color planning lets you discover the impact of color on people and space. You'll learn to systematically develop innovative, holistic color solutions in interior design with this book's evidence-based approach to color planning. The author sets forth a color planning framework that integrates multiple criteria, enabling you to fully consider the complex role that color plays in interior design. Color Planning for Interiors is based on the findings from a national study that the author conducted, which identified five categories of color criteria: Color as Composition Color Preferences Color as Communication Color Pragmatics Color for Engagement The author interviewed noted designers and colorists about the projects that best represented their approach to color. As a result, you'll discover how leaders in the field examine color from compositional, symbolic, behavioral, preferential, and pragmatic perspectives in order to arrive at a carefully considered solution. Moreover, you'll see how designers and architects apply this knowledge to a broad range of interior spaces, including workplaces, restaurants, retail settings, healthcare facilities, and private residences. Complementing theory and research, real-life examples are presented from interior design projects that consider color in relation to light, materiality, and interior architecture. In addition, full-color diagrams, photographs, and design renderings illustrate concepts throughout the book to help you understand how to select and work with color. From the fundamental principles of color theory to innovative applications, all aspects of designing interiors with color are examined, making this book ideal for all professionals and students in interior design who want to develop the full potential of their color palettes.

front row seat at Paris Fashion Week is the perfect pick-me-up for Brianna Hamilton, eldest daughter of New York’s most successful clothing dynasty. The once-burned designer has had it with men who care only about the bottom line.Until she meets a guy who's impossible to resist. Here, in the world’s most romantic city, Brianna’s giving in to desire with a sensual stranger she’ll never see again. As CEO of an international hotel chain, Collin Childs has everything…except the one thing money can’t buy. So when fate reunites him with the woman who gave him the most unforgettable week of his life, he vows to overcome every obstacle standing in their way. From Paris to New York to a tropical St. Thomas paradise—in the face of danger and sabotage–Collin is slowly winning Brianna over. But can he convince her to take a chance on a love of their own passionate design?

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. Presents illustrations of the dual space geometry for all designs, including confounded designs.

A indispensable guide to understanding and designing modern experiments The tools and techniques of Design of Experiments (DOE) allow researchers to successfully collect, analyze, and interpret data across a wide array of disciplines. Statistical Analysis of Designed Experiments provides a modern and balanced treatment of DOE methodology with thorough coverage of the underlying theory and standard designs of experiments, guiding the reader through applications to research in various fields such as engineering, medicine, business, and the social sciences. The book supplies a foundation for the subject, beginning with basic concepts of DOE and a review of elementary normal theory statistical methods. Subsequent chapters present a uniform, model-based approach to DOE. Each design is presented in a comprehensive format and is accompanied by a motivating example, discussion of the applicability of the design, and a model for its analysis using statistical methods such as graphical plots, analysis of variance (ANOVA), confidence intervals, and hypothesis tests. Numerous theoretical and applied exercises are provided in each chapter, and answers to selected exercises are included at the end of the book. An appendix features three case studies that illustrate the challenges often encountered in real-world experiments, such as randomization, unbalanced data, and outliers. Minitab® software is used to perform analyses throughout the book, and an accompanying FTP site houses additional exercises and data sets. With its breadth of real-world examples and accessible treatment of both theory and applications, Statistical Analysis of Designed Experiments is a valuable book for experimental design courses at the upper-undergraduate and graduate levels. It is also an indispensable reference for practicing statisticians, engineers, and scientists who would like to further their knowledge of DOE.