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Author: William H. Gass Publisher: University of Chicago Press ISBN: 9780226284064 Category : History Languages : en Pages : 342
Book Description
Tests of Time brings us fourteen witty and elegant essays by novelist and literary critic William H. Gass, "the finest prose stylist in America" (Steven Moore, Washington Post). Whether he's exploring the nature of narrative, the extent and cost of political influences on writers, or the relationships between the stories we tell and the moral judgments we make, Gass is always erudite, entertaining, and enlightening.
Author: William H. Gass Publisher: University of Chicago Press ISBN: 9780226284064 Category : History Languages : en Pages : 342
Book Description
Tests of Time brings us fourteen witty and elegant essays by novelist and literary critic William H. Gass, "the finest prose stylist in America" (Steven Moore, Washington Post). Whether he's exploring the nature of narrative, the extent and cost of political influences on writers, or the relationships between the stories we tell and the moral judgments we make, Gass is always erudite, entertaining, and enlightening.
Author: Jeff B. Cromwell Publisher: SAGE ISBN: 9780803954403 Category : Social sciences Languages : en Pages : 116
Book Description
Which time series test should researchers choose to best describe the interactions among a set of time series variables? Providing guidelines for identifying the appropriate multivariate time series model to use, this book explores the nature and application of these increasingly complex tests.
Author: Kristen Hilty Publisher: Staff Development for Educator ISBN: 9781631330766 Category : Arithmetic Languages : en Pages : 162
Book Description
"Fact fluency matters, but timed tests give students more anxiety than they develop students' mathematical fluency. It's time for educators to give timed tests a time out. But, what's the alternative? This book is designed to answer that question. It provides teachers with a wealth of practical ways to teach students the facts, help them understand the facts, and give them strategies to become fluent with their grade level's fact fluency expectations. Time's Up on Timed Tests builds real fact fluency--without a timer! The book covers fluency in addition, subtraction, multiplication, and division, with practical strategies for purposeful practice, including reproducibles of games and activities. "
Author: K. Patterson Publisher: Springer ISBN: 023029930X Category : Business & Economics Languages : en Pages : 641
Book Description
Testing for a unit root is now an essential part of time series analysis. This volume provides a critical overview and assessment of tests for a unit root in time series, developing the concepts necessary to understand the key theoretical and practical models in unit root testing.
Author: K. Patterson Publisher: Springer ISBN: 1137003316 Category : Business & Economics Languages : en Pages : 550
Book Description
Testing for a Unit Root is now an essential part of time series analysis but the literature on the topic is so large that knowing where to start is difficult even for the specialist. This book provides a way into the techniques of unit root testing, explaining the pitfalls and nonstandard cases, using practical examples and simulation analysis.
Author: Fred Hebert Publisher: Pragmatic Bookshelf ISBN: 1680506544 Category : Computers Languages : en Pages : 497
Book Description
Property-based testing helps you create better, more solid tests with little code. By using the PropEr framework in both Erlang and Elixir, this book teaches you how to automatically generate test cases, test stateful programs, and change how you design your software for more principled and reliable approaches. You will be able to better explore the problem space, validate the assumptions you make when coming up with program behavior, and expose unexpected weaknesses in your design. PropEr will even show you how to reproduce the bugs it found. With this book, you will be writing efficient property-based tests in no time. Most tests only demonstrate that the code behaves how the developer expected it to behave, and therefore carry the same blind spots as their authors when special conditions or edge cases show up. Learn how to see things differently with property tests written in PropEr. Start with the basics of property tests, such as writing stateless properties, and using the default generators to generate test cases automatically. More importantly, learn how to think in properties. Improve your properties, write custom data generators, and discover what your code can or cannot do. Learn when to use property tests and when to stick with example tests with real-world sample projects. Explore various testing approaches to find the one that's best for your code. Shrink failing test cases to their simpler expression to highlight exactly what breaks in your code, and generate highly relevant data through targeted properties. Uncover the trickiest bugs you can think of with nearly no code at all with two special types of properties based on state transitions and finite state machines. Write Erlang and Elixir properties that generate the most effective tests you'll see, whether they are unit tests or complex integration and system tests. What You Need Basic knowledge of Erlang, optionally ElixirFor Erlang tests: Erlang/OTP >= 20.0, with Rebar >= 3.4.0For Elixir tests: Erlang/OTP >= 20.0, Elixir >= 1.5.0
Author: Lisa M. Dolling Publisher: Princeton University Press ISBN: 9780691090856 Category : Science Languages : en Pages : 762
Book Description
The development of physical theory is one of our greatest intellectual achievements. Its products--the currently prevailing theories of physics, astronomy, and cosmology--have proved themselves to possess intrinsic beauty and to have enormous explanatory and predictive power. This anthology of primary readings chronicles the birth and maturation of five such theories (the heliocentric theory, the electromagnetic field theory, special and general relativity, quantum theory, and the big bang theory) in the words of the scientists who brought them to life. It is the first historical account that captures the rich substance of these theories, each of which represents a fascinating story of the interplay of evidence and insight--and of dialogue among great minds. Readers sit in with Copernicus, Kepler, and Galileo as they overturn the geocentric universe; observe the genius of Faraday and Maxwell as they "discover" the electromagnetic field; look over Einstein's shoulder as he works out the details of relativity; listen in as Einstein and Bohr argue for the soul of quantum mechanics in the Completeness Debate; and watch as Hubble and others reveal the history of the universe. The editors' approach highlights the moments of discovery that rise from scientific creativity, and the presentation humanizes the scientific process, revealing the extent to which great scientists were the first to consider the philosophical implications of their work. But, most significantly, the editors offer this as their central thesis: although each was ushered in by a revolution, and each contains counterintuitive elements that delayed its acceptance, these five theories exhibit a continuous rational development that has led them to a permanent place in the worldview of science. Accessible to the general reader yet sufficiently substantive that working scientists will find value in it, The Tests of Time offers an intimate look into how physical theory has been developed, by the brilliant people who have developed it.
Author: Lisa L. Harlow Publisher: Routledge ISBN: 131724284X Category : Psychology Languages : en Pages : 436
Book Description
The classic edition of What If There Were No Significance Tests? highlights current statistical inference practices. Four areas are featured as essential for making inferences: sound judgment, meaningful research questions, relevant design, and assessing fit in multiple ways. Other options (data visualization, replication or meta-analysis), other features (mediation, moderation, multiple levels or classes), and other approaches (Bayesian analysis, simulation, data mining, qualitative inquiry) are also suggested. The Classic Edition’s new Introduction demonstrates the ongoing relevance of the topic and the charge to move away from an exclusive focus on NHST, along with new methods to help make significance testing more accessible to a wider body of researchers to improve our ability to make more accurate statistical inferences. Part 1 presents an overview of significance testing issues. The next part discusses the debate in which significance testing should be rejected or retained. The third part outlines various methods that may supplement significance testing procedures. Part 4 discusses Bayesian approaches and methods and the use of confidence intervals versus significance tests. The book concludes with philosophy of science perspectives. Rather than providing definitive prescriptions, the chapters are largely suggestive of general issues, concerns, and application guidelines. The editors allow readers to choose the best way to conduct hypothesis testing in their respective fields. For anyone doing research in the social sciences, this book is bound to become "must" reading. Ideal for use as a supplement for graduate courses in statistics or quantitative analysis taught in psychology, education, business, nursing, medicine, and the social sciences, the book also benefits independent researchers in the behavioral and social sciences and those who teach statistics.
Author: William H. Gass
Author: William H. Gass
Author: Jeff B. Cromwell
Author: Kristen Hilty
Author: K. Patterson
Author: K. Patterson
Author: Fred Hebert
Author: Lisa M. Dolling
Author: Lisa L. Harlow
Author: United States. National Bureau of Standards
Author: Richard McMunn