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The dramatic developments in the field of experimental uncertainty analysis over the last ten years have led to sweeping changes in applications, resulting in a new international experimental uncertainty standard. Now, in the only manual available with direct applications to the design and analysis of engineering experiments, respected authors Hugh Coleman and Glenn Steele have thoroughly updated their bestselling title to include the new methodologies being used by the United States and international standards committee groups. Along with several new examples, this latest edition includes new material on: * The utilization of Uncertainty Magnification Factors (UMFs) and Uncertainty Percentage Contributions (UPCs) in the planning and early design phases of experiments * Refined procedures for accounting for the effects of correlated bias errors * Improved methods for accounting for the effects of asymmetric systematic uncertainties * The importance of (previously ignored) correlated random errors with an example illustrating how to account for them * Uncertainties in comparative testing * Uncertainties in the comparison of data and predictions (code validation) * Uncertainty analysis by direct Monte Carlo simulation * A new method to determine regression uncertainties that properly accounts for both random and systematic uncertainties With a step-by-step approach, engineering students as well as practicing professional engineers who analyze or design experiments will find Experimentation and Uncertainty Analysis for Engineers, Second Edition to be an invaluable reference tool.

Young scientists can run experiments in their very own lab! Great for visual and tactile learners; Encourages problem solving, sequential thought, and math concepts; Ready to go with step-by-step instructions; Includes a write & wipe journal; Includes 2 large test tubes with stand, eyedropper, 2 funnels, safety glasses, tall stand with adjustable holder clips, 2 twisty connector tubes, 3 stoppers, sensory tube with solid and vented lids, Primary Science View Scope with viewing case, 20 double-sided activity cards, and 2 flasks (round- and flat-bottomed); Deluxe Lab Primary Science Deluxe Lab Experiments Lab Equipment Observations Predictions STEM Deluxe Lab Primary Science Deluxe Lab Experiments Lab Equipment Observations Predictions STEM

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Book is in Used-VeryGood condition. Pages and cover are clean and intact. Used items may not include supplementary materials such as CDs or access codes. May show signs of minor shelf wear and contain very limited notes and highlighting. 1.19

Experimentation and the Lyric in Contemporary French Poetry offers a new theoretical approach and historical perspective on the remarkable upsurge in creative poetic practices in France that have challenged traditional definitions of poetry and of the lyric. Focusing on the work of Pierre Alferi, Olivier Cadiot, Emmanuel Hocquard, Franck Leibovici, Anne Portugal and Denis Roche, this book provides an analysis of the most influential poets in French poetry of the last few decades. It contextualizes the theoretical models that inform their investigations, analyzing them alongside the history of the avant-garde and the heated theoretical debates that have taken place over whether to continue or bring an end to the lyric. Systematically addressing the various strategies employed by these poets and drawing on reception theory and cognitive studies, Jeff Barda argues that French radical poetics re-evaluates the lyric in cognitive terms beyond the personal. This book is essential reading for anyone interested in twenty-first-century forms of experimental writing and the connections between literature and the arts today.

The dramatic developments in the field of experimental uncertainty analysis over the last ten years have led to sweeping changes in applications, resulting in a new international experimental uncertainty standard. Now, in the only manual available with direct applications to the design and analysis of engineering experiments, respected authors Hugh Coleman and Glenn Steele have thoroughly updated their bestselling title to include the new methodologies being used by the United States and international standards committee groups. Along with several new examples, this latest edition includes new material on: * The utilization of Uncertainty Magnification Factors (UMFs) and Uncertainty Percentage Contributions (UPCs) in the planning and early design phases of experiments * Refined procedures for accounting for the effects of correlated bias errors * Improved methods for accounting for the effects of asymmetric systematic uncertainties * The importance of (previously ignored) correlated random errors with an example illustrating how to account for them * Uncertainties in comparative testing * Uncertainties in the comparison of data and predictions (code validation) * Uncertainty analysis by direct Monte Carlo simulation * A new method to determine regression uncertainties that properly accounts for both random and systematic uncertainties With a step-by-step approach, engineering students as well as practicing professional engineers who analyze or design experiments will find Experimentation and Uncertainty Analysis for Engineers, Second Edition to be an invaluable reference tool.

New mathematical insights and rigorous results are often gained through extensive experimentation using numerical examples or graphical images and analyzing them. Today computer experiments are an integral part of doing mathematics. This allows for a more systematic approach to conducting and replicating experiments. The authors address the role of experimental research in the statement of new hypotheses and the discovery of new results that chart the road to future developments. Following the lead of Mathematics by Experiment: Plausible Reasoning in the 21st Century this book gives numerous additional case studies of experimental mathematics in action, ranging from sequences, series, products, integrals, Fourier series, zeta functions, partitions, primes and polynomials. Some advanced numerical techniques are also presented. To get a taste of the material presented in both books view the condensed version.

Experimentation and the Lyric in Contemporary French Poetry offers a new theoretical approach and historical perspective on the remarkable upsurge in creative poetic practices in France that have challenged traditional definitions of poetry and of the lyric. Focusing on the work of Pierre Alferi, Olivier Cadiot, Emmanuel Hocquard, Franck Leibovici, Anne Portugal and Denis Roche, this book provides an analysis of the most influential poets in French poetry of the last few decades. It contextualizes the theoretical models that inform their investigations, analyzing them alongside the history of the avant-garde and the heated theoretical debates that have taken place over whether to continue or bring an end to the lyric. Systematically addressing the various strategies employed by these poets and drawing on reception theory and cognitive studies, Jeff Barda argues that French radical poetics re-evaluates the lyric in cognitive terms beyond the personal. This book is essential reading for anyone interested in twenty-first-century forms of experimental writing and the connections between literature and the arts today.

Experimentation and Versatility considers Chappell's first four novels and his short fiction--the novels chronologically and the short stories thematically--demonstrating the unique range and importance of his fictional prose. Rather than inserting Chappell's fictional variables into a single theoretical formula, Glabough traces and celebrates their various and multifaceted excursions into genres as disparate as Appalachian pastoralism and experimental science fiction. Containing both an interview with Chappell and a previously unpublished short story, Experimentation and Versatility also offers new primary sources on Chappell's work, even as it contextualizes him as one of our most exciting and multi-talented contemporary writers. Investigating the complexities of Chappell's work, Clabough's study offers new ways of considering Chappell, who has been characterized variously as a Appalachian, Southern, and fantasy writer. However, as Clabough demonstrates, he is, in fact, all and none of these things--a writer of immense gifts constantly reinventing himself through his experiments in seemingly disparate genres.

Helps engineers and scientists assess and manage uncertainty at all stages of experimentation and validation of simulations  Fully updated from its previous edition, Experimentation, Validation, and Uncertainty Analysis for Engineers, Fourth Edition includes expanded coverage and new examples of applying the Monte Carlo Method (MCM) in performing uncertainty analyses. Presenting the current, internationally accepted methodology from ISO, ANSI, and ASME standards for propagating uncertainties using both the MCM and the Taylor Series Method (TSM), it provides a logical approach to experimentation and validation through the application of uncertainty analysis in the planning, design, construction, debugging, execution, data analysis, and reporting phases of experimental and validation programs. It also illustrates how to use a spreadsheet approach to apply the MCM and the TSM, based on the authors’ experience in applying uncertainty analysis in complex, large-scale testing of real engineering systems. Experimentation, Validation, and Uncertainty Analysis for Engineers, Fourth Edition includes examples throughout, contains end of chapter problems, and is accompanied by the authors’ website www.uncertainty-analysis.com. Guides readers through all aspects of experimentation, validation, and uncertainty analysis Emphasizes the use of the Monte Carlo Method in performing uncertainty analysis Includes complete new examples throughout Features workable problems at the end of chapters Experimentation, Validation, and Uncertainty Analysis for Engineers, Fourth Edition is an ideal text and guide for researchers, engineers, and graduate and senior undergraduate students in engineering and science disciplines. Knowledge of the material in this Fourth Edition is a must for those involved in executing or managing experimental programs or validating models and simulations.

A supplement to all introductory physics courses which have a strong lab component.   The ever-increasing use of the computer as a tool for data analysis and acquisition has not eliminated the need for a grounding, sound experimentation design, Baird continues to emphasize the fundamentals of experimentation with added consideration for the power of new technology.

Helps engineers and scientists assess and manage uncertainty at all stages of experimentation and validation of simulations  Fully updated from its previous edition, Experimentation, Validation, and Uncertainty Analysis for Engineers, Fourth Edition includes expanded coverage and new examples of applying the Monte Carlo Method (MCM) in performing uncertainty analyses. Presenting the current, internationally accepted methodology from ISO, ANSI, and ASME standards for propagating uncertainties using both the MCM and the Taylor Series Method (TSM), it provides a logical approach to experimentation and validation through the application of uncertainty analysis in the planning, design, construction, debugging, execution, data analysis, and reporting phases of experimental and validation programs. It also illustrates how to use a spreadsheet approach to apply the MCM and the TSM, based on the authors’ experience in applying uncertainty analysis in complex, large-scale testing of real engineering systems. Experimentation, Validation, and Uncertainty Analysis for Engineers, Fourth Edition includes examples throughout, contains end of chapter problems, and is accompanied by the authors’ website www.uncertainty-analysis.com. Guides readers through all aspects of experimentation, validation, and uncertainty analysis Emphasizes the use of the Monte Carlo Method in performing uncertainty analysis Includes complete new examples throughout Features workable problems at the end of chapters Experimentation, Validation, and Uncertainty Analysis for Engineers, Fourth Edition is an ideal text and guide for researchers, engineers, and graduate and senior undergraduate students in engineering and science disciplines. Knowledge of the material in this Fourth Edition is a must for those involved in executing or managing experimental programs or validating models and simulations.

Every company's ability to innovate depends on a process of experimentation whereby new products and services are created and existing ones improved. But the cost of experimentation is limiting. New technologies--including computer modeling and simulation--promise to lift that constraint by changing the economics of experimentation. They amplify the impact of learning, creating the potential for higher R&D performance and innovation and new ways of creating value for customers. Stefan H. Thomke argues that to unlock such potential, companies must not only understand the power of new technologies for experimentation, but also fundamentally change their processes, organization, and management of innovation. He shows why experimentation is so critical to innovation, explains the impact of new technologies, and outlines what managers must do to integrate them successfully.

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Studio Museum of Harlem,. NYC. Exhibition catalog: April 5 - July 2, 2006. Illustrated. 147 pp. Paperback.

Featuring engaging examples from diverse disciplines, this book explains how to use modern approaches to quasi-experimentation to derive credible estimates of treatment effects under the demanding constraints of field settings. Foremost expert Charles S. Reichardt provides an in-depth examination of the design and statistical analysis of pretest–posttest, nonequivalent groups, regression discontinuity, and interrupted time-series designs. He details their relative strengths and weaknesses and offers practical advice about their use. Comparing quasi-experiments to randomized experiments, Reichardt discusses when and why the former might be a better choice than the latter in the face of the contingencies that are likely to arise in practice. Modern methods for elaborating a research design to remove bias from estimates of treatment effects are described, as are tactics for dealing with missing data and noncompliance with treatment assignment. Throughout, mathematical equations are translated into words to enhance accessibility. Adding to its discussion of prototypical quasi-experiments, the book also provides a complete typology of quasi-experimental design options to help the reader craft the best research design to fit the circumstances of a given study.  

Theory and Experimentation: Architectural Ideas for Today and Tomorrow . The work of theoretically-minded architects is now vital to the architecture of today. Some of today's most exciting built work is presented here in such a way as to highlight the main preoccupations of architects on important global issues. Clearance sale . New with shelf wear . Priced accordingly.