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Author: David S. Salsburg Publisher: ISBN: 9781952363245 Category : Languages : en Pages : 94
Book Description
The beauty of DOE is about learning--from mistakes, from trying new things, and from working with others. Cautionary Tales in Designed Experiments aims to explain statistical design of experiments (DOE), Ronald Fisher's great innovation, to readers with minimal mathematical knowledge and skills. The book starts with historical examples and goes on to cover missteps, mismanaged experiments, learnings, the importance of randomization, and more. In later chapters, the book covers more statistical concepts, such as various designs for experiments, analysis of variance, Bayes' theorem in DOE, measurement, and when experiments fail. The book concludes by citing the ubiquity of statistical design of experiments.
Author: David S. Salsburg Publisher: ISBN: 9781952363245 Category : Languages : en Pages : 94
Book Description
The beauty of DOE is about learning--from mistakes, from trying new things, and from working with others. Cautionary Tales in Designed Experiments aims to explain statistical design of experiments (DOE), Ronald Fisher's great innovation, to readers with minimal mathematical knowledge and skills. The book starts with historical examples and goes on to cover missteps, mismanaged experiments, learnings, the importance of randomization, and more. In later chapters, the book covers more statistical concepts, such as various designs for experiments, analysis of variance, Bayes' theorem in DOE, measurement, and when experiments fail. The book concludes by citing the ubiquity of statistical design of experiments.
Author: R. A. Bailey Publisher: Cambridge University Press ISBN: 1139469916 Category : Mathematics Languages : en Pages : 345
Book Description
This book should be on the shelf of every practising statistician who designs experiments. Good design considers units and treatments first, and then allocates treatments to units. It does not choose from a menu of named designs. This approach requires a notation for units that does not depend on the treatments applied. Most structure on the set of observational units, or on the set of treatments, can be defined by factors. This book develops a coherent framework for thinking about factors and their relationships, including the use of Hasse diagrams. These are used to elucidate structure, calculate degrees of freedom and allocate treatment subspaces to appropriate strata. Based on a one-term course the author has taught since 1989, the book is ideal for advanced undergraduate and beginning graduate courses. Examples, exercises and discussion questions are drawn from a wide range of real applications: from drug development, to agriculture, to manufacturing.
Author: Hans-Michael Kaltenbach Publisher: Springer Nature ISBN: 3030696413 Category : Mathematics Languages : en Pages : 281
Book Description
This richly illustrated book provides an overview of the design and analysis of experiments with a focus on non-clinical experiments in the life sciences, including animal research. It covers the most common aspects of experimental design such as handling multiple treatment factors and improving precision. In addition, it addresses experiments with large numbers of treatment factors and response surface methods for optimizing experimental conditions or biotechnological yields. The book emphasizes the estimation of effect sizes and the principled use of statistical arguments in the broader scientific context. It gradually transitions from classical analysis of variance to modern linear mixed models, and provides detailed information on power analysis and sample size determination, including ‘portable power’ formulas for making quick approximate calculations. In turn, detailed discussions of several real-life examples illustrate the complexities and aberrations that can arise in practice. Chiefly intended for students, teachers and researchers in the fields of experimental biology and biomedicine, the book is largely self-contained and starts with the necessary background on basic statistical concepts. The underlying ideas and necessary mathematics are gradually introduced in increasingly complex variants of a single example. Hasse diagrams serve as a powerful method for visualizing and comparing experimental designs and deriving appropriate models for their analysis. Manual calculations are provided for early examples, allowing the reader to follow the analyses in detail. More complex calculations rely on the statistical software R, but are easily transferable to other software. Though there are few prerequisites for effectively using the book, previous exposure to basic statistical ideas and the software R would be advisable.
Author: Jeffrey R. Ferguson Publisher: University Press of Colorado ISBN: 1607320231 Category : Social Science Languages : en Pages : 281
Book Description
Designing Experimental Research in Archaeology is a guide for the design of archaeological experiments for both students and scholars. Experimental archaeology provides a unique opportunity to corroborate conclusions with multiple trials of repeatable experiments and can provide data otherwise unavailable to archaeologists without damaging sites, remains, or artifacts. Each chapter addresses a particular classification of material culture-ceramics, stone tools, perishable materials, composite hunting technology, butchering practices and bone tools, and experimental zooarchaeology-detailing issues that must be considered in the development of experimental archaeology projects and discussing potential pitfalls. The experiments follow coherent and consistent research designs and procedures and are placed in a theoretical context, and contributors outline methods that will serve as a guide in future experiments. This degree of standardization is uncommon in traditional archaeological research but is essential to experimental archaeology. The field has long been in need of a guide that focuses on methodology and design. This book fills that need not only for undergraduate and graduate students but for any archaeologist looking to begin an experimental research project.
Author: Renita Coleman Publisher: SAGE Publications ISBN: 1506377335 Category : Social Science Languages : en Pages : 409
Book Description
Designing Experiments for the Social Sciences: How to Plan, Create, and Execute Research Using Experiments is a practical, applied text for courses in experimental design. The text assumes that students have just a basic knowledge of the scientific method, and no statistics background is required. With its focus on how to effectively design experiments, rather than how to analyze them, the book concentrates on the stage where researchers are making decisions about procedural aspects of the experiment before interventions and treatments are given. Renita Coleman walks readers step-by-step on how to plan and execute experiments from the beginning by discussing choosing and collecting a sample, creating the stimuli and questionnaire, doing a manipulation check or pre-test, analyzing the data, and understanding and interpreting the results. Guidelines for deciding which elements are best used in the creation of a particular kind of experiment are also given. This title offers rich pedagogy, ethical considerations, and examples pertinent to all social science disciplines.
Author: Michael Luca Publisher: MIT Press ISBN: 0262542277 Category : Business & Economics Languages : en Pages : 229
Book Description
How tech companies like Google, Airbnb, StubHub, and Facebook learn from experiments in our data-driven world—an excellent primer on experimental and behavioral economics Have you logged into Facebook recently? Searched for something on Google? Chosen a movie on Netflix? If so, you've probably been an unwitting participant in a variety of experiments—also known as randomized controlled trials—designed to test the impact of different online experiences. Once an esoteric tool for academic research, the randomized controlled trial has gone mainstream. No tech company worth its salt (or its share price) would dare make major changes to its platform without first running experiments to understand how they would influence user behavior. In this book, Michael Luca and Max Bazerman explain the importance of experiments for decision making in a data-driven world. Luca and Bazerman describe the central role experiments play in the tech sector, drawing lessons and best practices from the experiences of such companies as StubHub, Alibaba, and Uber. Successful experiments can save companies money—eBay, for example, discovered how to cut $50 million from its yearly advertising budget—or bring to light something previously ignored, as when Airbnb was forced to confront rampant discrimination by its hosts. Moving beyond tech, Luca and Bazerman consider experimenting for the social good—different ways that governments are using experiments to influence or “nudge” behavior ranging from voter apathy to school absenteeism. Experiments, they argue, are part of any leader's toolkit. With this book, readers can become part of “the experimental revolution.”
Author: Tim Harford Publisher: Penguin ISBN: 0593084675 Category : Business & Economics Languages : en Pages : 336
Book Description
From “one of the great (greatest?) contemporary popular writers on economics” (Tyler Cowen) comes a smart, lively, and encouraging rethinking of how to use statistics. Today we think statistics are the enemy, numbers used to mislead and confuse us. That’s a mistake, Tim Harford says in The Data Detective. We shouldn’t be suspicious of statistics—we need to understand what they mean and how they can improve our lives: they are, at heart, human behavior seen through the prism of numbers and are often “the only way of grasping much of what is going on around us.” If we can toss aside our fears and learn to approach them clearly—understanding how our own preconceptions lead us astray—statistics can point to ways we can live better and work smarter. As “perhaps the best popular economics writer in the world” (New Statesman), Tim Harford is an expert at taking complicated ideas and untangling them for millions of readers. In The Data Detective, he uses new research in science and psychology to set out ten strategies for using statistics to erase our biases and replace them with new ideas that use virtues like patience, curiosity, and good sense to better understand ourselves and the world. As a result, The Data Detective is a big-idea book about statistics and human behavior that is fresh, unexpected, and insightful.
Author: James Evans Publisher: Routledge ISBN: 1317517148 Category : Science Languages : en Pages : 319
Book Description
This book explores how the concept or urban experimentation is being used to reshape practices of knowledge production in urban debates about resilience, climate change governance, and socio-technical transitions. With contributions from leading scholars, and case studies from the Global North and South, from small to large scale cities, this book suggests that urban experiments offer novel modes of engagement, governance, and politics that both challenge and complement conventional strategies. The book is organized around three cross-cutting themes. Part I explores the logics of urban experimentation, different approaches, and how and why they are deployed. Part II considers how experiments are being staged within cities, by whom, and with what effects? Part III examines how entire cities or groups of cities are constructed as experiments. This book seeks to contribute a deeper and more socially and politically nuanced understanding of how urban experiments shape cities and drive wider changes in society, providing a framework to examine the phenomenon of urban experimentation in conceptual and empirical detail.
Author: David S. Salsburg
Author: David S. Salsburg
Author: R. A. Bailey
Author: Stanley E. Lazic
Author: Hans-Michael Kaltenbach
Author: Jeffrey R. Ferguson
Author: Mary Harrington
Author: Renita Coleman
Author: Michael Luca
Author: Tim Harford
Author: James Evans