Quantify!

2011

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Author: Göran Grimvall
Publisher: JHU Press
ISBN: 0801897165
Category : Mathematics
Languages : en
Pages : 231

Göran Grimvall is determined to help mere mortals understand how scientists get to the kernel of perplexing problems. Entertaining and enlightening, his latest book uses examples from sports, literature, and nature—as well as from the varied worlds of science—to illustrate how scientists make sense of and explain the world around us. Grimvall's fun-to-read essays and easy-to-follow examples detail how order-of-magnitude estimation, extreme cases, dimensional analysis, and other modeling methods work. They also reveal how nonscientists absorb these concepts and use them at home, school, and work. Grimvall's simple, elegant explanations will help you tap into your inner scientist. Read this book and enjoy your own "Aha!" moment.

Quantifying the User Experience

2016-07-12

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Author: Jeff Sauro
Publisher: Morgan Kaufmann
ISBN: 0128025484
Category : Computers
Languages : en
Pages : 374

Quantifying the User Experience: Practical Statistics for User Research, Second Edition, provides practitioners and researchers with the information they need to confidently quantify, qualify, and justify their data. The book presents a practical guide on how to use statistics to solve common quantitative problems that arise in user research. It addresses questions users face every day, including, Is the current product more usable than our competition? Can we be sure at least 70% of users can complete the task on their first attempt? How long will it take users to purchase products on the website? This book provides a foundation for statistical theories and the best practices needed to apply them. The authors draw on decades of statistical literature from human factors, industrial engineering, and psychology, as well as their own published research, providing both concrete solutions (Excel formulas and links to their own web-calculators), along with an engaging discussion on the statistical reasons why tests work and how to effectively communicate results. Throughout this new edition, users will find updates on standardized usability questionnaires, a new chapter on general linear modeling (correlation, regression, and analysis of variance), with updated examples and case studies throughout. - Completely updated to provide practical guidance on solving usability testing problems with statistics for any project, including those using Six Sigma practices - Includes new and revised information on standardized usability questionnaires - Includes a completely new chapter introducing correlation, regression, and analysis of variance - Shows practitioners which test to use, why they work, and best practices for application, along with easy-to-use Excel formulas and web-calculators for analyzing data - Recommends ways for researchers and practitioners to communicate results to stakeholders in plain English

Use of Novel Techniques to Quantify Phenotypes in Biological Treatment Process

2004-01-01

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Author: K. G. Robinson
Publisher: IWA Publishing
ISBN: 1843396971
Category : Science
Languages : en
Pages : 220

This research attempts to evaluate nitrification treatment performance in combined carbon/nitrogen municipal wastewater reactors using traditional physical/chemical methods and modern molecular techniques. Bench scale activated sludge reactors were operated at different SRTs under varying DO levels and temperatures over a 21-month period. Real-time PCR assays were used to determine cell concentrations of total bacterial 16S rDNA, a gross measure of biomass content, the amoA gene, a measure of ammonia-oxidizing bacteria (AOB), and the Nitrospira 16S rDNA gene, a measure of nitrite-oxidizing bacteria (NOB). As expected, gravimetric biomass and total bacterial 16S rDNA levels increased with increasing SRT. Ammonia oxidation rates and N. oligotropha-type AOB concentrations did not follow similar trends with respect to changes in SRT, temperature, and DO nor were they highly correlated. The concentration of available nitrite and SRT were positively correlated with Nitrospira cell densities, while DO concentration and temperature were negatively correlated with NOB levels. The percentage of the total population comprised of AOB and NOB obtained with the real-time PCR assays were compared to predicted values estimated from design equations using typical kinetic parameters. While the percentages of NOB measured using the real-time PCR assay corresponded very well with the predicted values, the measured percentages of AOB were much lower than those estimated from the design equations, suggesting that N. oligotropha-type AOB were not the dominant ammonia-oxidizing species in these reactors. This publication can be purchased and downloaded via Pay Per View on Water Intelligence Online - click on the Pay Per View icon below

Quantifying Measurement

2016-11-01

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Author: Jeffrey H Williams
Publisher: Morgan & Claypool Publishers
ISBN: 1681744341
Category : Science
Languages : en
Pages : 169

Measurements and experiments are made each and every day, in fields as disparate as particle physics, chemistry, economics and medicine, but have you ever wondered why it is that a particular experiment has been designed to be the way it is. Indeed, how do you design an experiment to measure something whose value is unknown, and what should your considerations be on deciding whether an experiment has yielded the sought after, or indeed any useful result? These are old questions, and they are the reason behind this volume. We will explore the origins of the methods of data analysis that are today routinely applied to all measurements, but which were unknown before the mid-19th Century. Anyone who is interested in the relationship between the precision and accuracy of measurements will find this volume useful. Whether you are a physicist, a chemist, a social scientist, or a student studying one of these subjects, you will discover that the basis of measurement is the struggle to identify the needle of useful data hidden in the haystack of obscuring background noise.

Quantifying the Qualitative

2015-12-30

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Author: Katya Drozdova
Publisher: SAGE Publications
ISBN: 148339249X
Category : Social Science
Languages : en
Pages : 125

Quantifying the Qualitative presents a systematic approach to comparative case analysis based on insights from information theory. This new method, which requires minimal quantitative skills, helps students, policymakers, professionals, and scholars learn more from comparative cases. The approach avoids the limitations of traditional statistics in the small-n context and allows analysts to systematically assess and compare the impact of a set of factors on case outcomes with easy-to-use analytics. Rigorous tools reduce bias, improve the knowledge gained from case studies, and provide straightforward metrics for effectively communicating results to a range of readers and leaders.

The Quantified Scholar

2022-08-30

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Author: Juan Pablo Pardo-Guerra
Publisher: Columbia University Press
ISBN: 0231552351
Category : Social Science
Languages : en
Pages : 169

Since 1986, the British government, faced with dwindling budgets and growing calls for public accountability, has sought to assess the value of scholarly work in the nation’s universities. Administrators have periodically evaluated the research of most full-time academics employed in British universities, seeking to distribute increasingly scarce funding to those who use it best. How do such attempts to quantify the worth of knowledge change the nature of scholarship? Juan Pablo Pardo-Guerra examines the effects of quantitative research evaluations on British social scientists, arguing that the mission to measure academic excellence resulted in less diversity and more disciplinary conformity. Combining interviews and original computational analyses, The Quantified Scholar provides a compelling account of how scores, metrics, and standardized research evaluations altered the incentives of scientists and administrators by rewarding forms of scholarship that were closer to established disciplinary canons. In doing so, research evaluations amplified publication hierarchies and long-standing forms of academic prestige to the detriment of diversity. Slowly but surely, they reshaped academic departments, the interests of scholars, the organization of disciplines, and the employment conditions of researchers. Critiquing the effects of quantification on the workplace, this book also presents alternatives to existing forms of evaluation, calling for new forms of vocational solidarity that can challenge entrenched inequality in academia.

Quantifying Consciousness

2013-11-11

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Author: R.J. Pekala
Publisher: Springer Science & Business Media
ISBN: 1489906290
Category : Psychology
Languages : en
Pages : 427

This book presents an approach to quantifying consciousness and its various states. It represents over ten years of work in developing, test ing, and researching the use of relatively simple self-report question naires in the retrospective assessment of subjective or phenomenologi cal experience. While the simplicity of the method allows for subjective experience to be reliably and validly assessed across various short stim ulus conditions, the flexibility of the approach allows the cognitive psy chologist, consciousness researcher, and mental health professional to quantify and statistically assess the phenomenological variables associ ated with various stimulus conditions, altered-state induction tech niques, and clinical procedures. The methodology allows the cognitive psychologist and mental health professional to comprehensively quantify the structures and pat terns of subjective experience dealing with imagery, attention, affect, volitional control, internal dialogue, and so forth to determine how these phenomenological structures might covary during such stimulus conditions as free association, a sexual fantasy, creative problem solving, or a panic attack. It allows for various phenomenological pro cesses to be reported, quantified, and statistically assessed in a rather comprehensive fashion that should help shed greater understanding on the nature of mind or consciousness.

Quantifying Systemic Risk

2013-01-24

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Author: Joseph G. Haubrich
Publisher: University of Chicago Press
ISBN: 0226319288
Category : Business & Economics
Languages : en
Pages : 286

In the aftermath of the recent financial crisis, the federal government has pursued significant regulatory reforms, including proposals to measure and monitor systemic risk. However, there is much debate about how this might be accomplished quantitatively and objectively—or whether this is even possible. A key issue is determining the appropriate trade-offs between risk and reward from a policy and social welfare perspective given the potential negative impact of crises. One of the first books to address the challenges of measuring statistical risk from a system-wide persepective, Quantifying Systemic Risk looks at the means of measuring systemic risk and explores alternative approaches. Among the topics discussed are the challenges of tying regulations to specific quantitative measures, the effects of learning and adaptation on the evolution of the market, and the distinction between the shocks that start a crisis and the mechanisms that enable it to grow.

Quantifying Diets of Wildlife and Fish

2024-05-01

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Author: Michael C. Calver
Publisher: CSIRO PUBLISHING
ISBN: 148631502X
Category : Science
Languages : en
Pages : 354

Quantifying Diets of Wildlife and Fish presents different techniques available to study animal diets. Ecologists determine animal diets to build natural history knowledge, test hypotheses in ecological theory and make informed management decisions for important ecosystems. Many researchers use techniques traditionally applied to the animals they study, rather than techniques with the greatest potential for the aims of each project. In an effort to encourage researchers to consider new approaches, this book focuses on the techniques, rather than on particular groups of organisms or specific environments. With contributions from leading ecologists, chapters explore experimental design, observational techniques (including new technologies), stomach contents and faecal analysis, eDNA, tracers and stable isotopes. They also cover the latest multivariate methods of analyses suitable for describing animal diets and feeding relationships, as well as testing hypotheses relevant to ecological theory, environmental management and biological conservation. The expert knowledge provided will encourage readers to look beyond the boundaries of their specialties, assist in testing important hypotheses and provide insights into management problems. The examples in this book cover a range of vertebrates and invertebrates, as well as different environments, to open these methods up for novice ecologists and stimulate lateral thinking in more experienced researchers.

Quantifying Life

2016-08-04

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Author: Dmitry A. Kondrashov
Publisher: University of Chicago Press
ISBN: 022637193X
Category : Science
Languages : en
Pages : 434

Since the time of Isaac Newton, physicists have used mathematics to describe the behavior of matter of all sizes, from subatomic particles to galaxies. In the past three decades, as advances in molecular biology have produced an avalanche of data, computational and mathematical techniques have also become necessary tools in the arsenal of biologists. But while quantitative approaches are now providing fundamental insights into biological systems, the college curriculum for biologists has not caught up, and most biology majors are never exposed to the computational and probabilistic mathematical approaches that dominate in biological research. With Quantifying Life, Dmitry A. Kondrashov offers an accessible introduction to the breadth of mathematical modeling used in biology today. Assuming only a foundation in high school mathematics, Quantifying Life takes an innovative computational approach to developing mathematical skills and intuition. Through lessons illustrated with copious examples, mathematical and programming exercises, literature discussion questions, and computational projects of various degrees of difficulty, students build and analyze models based on current research papers and learn to implement them in the R programming language. This interplay of mathematical ideas, systematically developed programming skills, and a broad selection of biological research topics makes Quantifying Life an invaluable guide for seasoned life scientists and the next generation of biologists alike.