ISBN: 978-1-118-38798-6
October 2019 704 Pages
Hardcover
Advanced Statistics with Applications in R fills the gap between several excellent theoretical statistics textbooks and many applied statistics books where teaching reduces to using existing packages. This book looks at what is under the hood. Many statistics issues including the recent crisis with p-value are caused by misunderstanding of statistical concepts due to poor theoretical background of practitioners and applied statisticians. This book is the product of a forty-year experience in teaching of probability and statistics and their applications for solving real-life problems.
There are more than 442 examples in the book: basically every probability or statistics concept is illustrated with an example accompanied with an R code. Many examples, such as Who said ƒÎ? What team is better? The fall of the Roman empire, James Bond chase problem, Black Friday shopping, Free fall equation: Aristotle or Galilei, and many other...
Professor Eugene Demidenko works at Dartmouth College in the Department of Biomedical Science, he teaches statistics at Mathematics Department to undergraduate students and to graduate students at Quantitative Biomedical Sciences at Geisel School of Medicine. He has brought experience in theoretical and applied statistics, such as epidemiology and biostatistics, statistical analysis of images, tumor regrowth, ill-posed inverse problems in engineering and technology, optimal portfolio allocation, among others. His first book with Wiley Mixed Model: Theory and Applications with R gained much popularity among researchers and graduate/PhD students. Prof. Demidenko is the author of a controversial paper The P-value You Can't Buy published in 2016 in The American Statistician.
ISBN: 978-1-119-56022-7
April 2019 288 Pages
Paperback
Description
A four-color journey through a complete Tableau visualization
Tableau is a popular data visualization tool thatfs easy for individual desktop use as well as enterprise. Used by financial analysts, marketers, statisticians, business and sales leadership, and many other job roles to present data visually for easy understanding, itfs no surprise that Tableau is an essential tool in our data-driven economy.
Visual Analytics with Tableau is a complete journey in Tableau visualization for a non-technical business user. You can start from zero, connect your first data, and get right into creating and publishing awesome visualizations and insightful dashboards.
* Learn the different types of charts you can create
* Use aggregation, calculated fields, and parameters
* Create insightful maps
* Share interactive dashboards
Geared toward beginners looking to get their feet wet with Tableau, this book makes it easy and approachable to get started right away.
Alexander Loth is a data scientist with over 10 years' experience in the Enterprise software space, focused primarily on Digital Transformation, Big Data, Machine Learning, and Business Analytics. Since 2015 he has been with Tableau Software as Digital Strategist in Frankfurt, Germany where he guides organizations to evolve their data-driven culture. Prior to Tableau, Alexander was a Data Scientist at CERN and worked as a consultant for Capgemini and in software engineering at SAP.
Hilbert's foundational work is seen as deeply rooted in the radical transformation of mathematics during the 19th century; his methodological attitude can be refined and extended to bridge the chasm between a Platonist and Constructivist philosophy of mathematics.
This novel perspective on Hilbert's foundational work is informed by detailed examination of archival sources, original mathematical contributions, and broad philosophical reflection.
Hilbert's Programs & Beyond presents the foundational work of David Hilbert in a sequence of thematically organized essays. They first trace the roots of Hilbert's work to the radical transformation of mathematics in the 19th century and bring out his pivotal role in creating mathematical logic and proof theory. They then analyze techniques and results of "classical" proof theory as well as their dramatic expansion in modern proof theory. This intellectual experience finally opens horizons for reflection on the nature of mathematics in the 21st century: Sieg articulates his position of reductive structuralism and explores mathematical capacities via computational models.
Paperback
Published: 29 August 2019 (Estimated)
464 Pages | 9 illus.
234x156mm
ISBN: 9780190948191
Hardcover
ISBN 9780691196558
240 pp. 8 1/2 x 11
152 b/w illus. 1 table.
forthcoming October 2019
Paperback
ISBN 9780691196565
Through a unique approach combining art and mathematics, Perspective and Projective Geometry introduces students to the ways that projective geometry applies to perspective art. Geometry, like mathematics as a whole, offers a useful and meaningful lens for understanding the visual world. Exploring pencil-and-paper drawings, photographs, Renaissance paintings, and GeoGebra constructions, this textbook equips students with the geometric tools for projecting a three-dimensional scene onto two dimensions.
Organized as a series of exercise modules, this book teaches students through hands-on inquiry and participation. Each lesson begins with a visual puzzle that can be investigated through geometry, followed by exercises that reinforce new concepts and hone studentsf analytical abilities. An electronic instructorfs manual available to teachers contains sample syllabi and advice, including suggestions for pacing and grading rubrics for art projects.
Drawing vital interdisciplinary connections between art and mathematics, Perspective and Projective Geometry is ideally suited for undergraduate students interested in mathematics or computer graphics, as well as for mathematically inclined students of architecture or art.
E Features computer-based GeoGebra modules and hands-on exercises
E Contains ample visual examples, math and art puzzles, and proofs with real-world applications
E Suitable for college students majoring in mathematics, computer science, and art
E Electronic instructorfs manual (available only to teachers)
Annalisa Crannell is professor of mathematics at Franklin & Marshall College. Marc Frantz is a research associate in mathematics at Indiana University. He holds a BFA in painting from the Herron School of Art and an MS in mathematics from Purdue University. Fumiko Futamura is professor of mathematics at Southwestern University and is an artist. Frantz and Crannell are the coauthors of Viewpoints: Mathematical Perspective and Fractal Geometry in Art (Princeton).
Paperback
ISBN 9780691198354
328 pp.
5 1/2 x 8 1/2
16 color + 81 b/w illus.
forthcoming October 2019
Hardcover
ISBN 9780691198675
The yearfs finest mathematical writing from around the world
This annual anthology brings together the yearfs finest mathematics writing from around the world. Featuring promising new voices alongside some of the foremost names in the field, The Best Writing on Mathematics 2019 makes available to a wide audience many articles not easily found anywhere else?and you donft need to be a mathematician to enjoy them. These essays delve into the history, philosophy, teaching, and everyday aspects of math, offering surprising insights into its nature, meaning, and practice?and taking readers behind the scenes of todayfs hottest mathematical debates.
Here, Moon Duchin explains how geometric-statistical methods can be used to design voting districts, Jeremy Avigad illustrates the growing use of computation in making and verifying mathematical hypotheses, and Kokichi Sugihara describes how to construct geometrical objects with unusual visual properties. In other essays, Neil Sloane presents some recent additions to the vast database of integer sequences he has catalogued, and Alessandro Di Bucchianico and his colleagues highlight how mathematical methods have been successfully applied to big-data problems. And therefs much, much more.
In addition to presenting the yearfs most memorable math writing, this must-have anthology includes an introduction by the editor and a bibliography of other notable pieces on mathematics.
This is a must-read for anyone interested in where math has taken us?and where it is headed.
Mircea Pitici earned a PhD in mathematics education from Cornell University, teaches mathematics at Syracuse University, and has edited The Best Writing on Mathematics since 2010. He lives in Ithaca, New York.