Explore the latest books of this year!
Bookbot

John R. Taylor

    January 1, 1944

    John Taylor is a professor of physics whose work delves into the intricate realms of quantum scattering theory and the fundamental principles of quantum mechanics. He possesses a remarkable talent for distilling complex scientific ideas into accessible and engaging prose, making his contributions significant for both academic and general audiences. His dedication extends to fostering scientific curiosity, particularly through his outreach efforts that aim to ignite a passion for physics in younger generations.

    Accounting. Teacher’s Book
    An Introduction to Error Analysis, third edition
    Linguistic Categorization
    • Linguistic Categorization

      • 320 pages
      • 12 hours of reading

      This book provides a readable and clearly articulated introduction to an important area in the broader field of Cognitive Linguistics. Taking as its starting point the categorization of colour it explores the far reaching implications of Eleanor Rosch's seminal work on prototype categorization extending it's application of prototype theory from lexical semantics to the study of morphology, syntax, and phonology. First published in 1989 the third edition of this populat text has been fully revised and updated to include recent developments in Cognitive Linguistics. It introduces basic issues in the study of word meaning, and demonstrates the viability of the prototype approach to the study of phonology, syntax and acquistion. The new edition expands the treatment of polysemy, meaning relatedness, idioms and grammatical constructions The book presupposes no prior knowledge of linguistics and will therefore be particulary suited to undergraduate courses.

      Linguistic Categorization
    • An Introduction to Error Analysis, third edition

      The study of uncertainties in physical measurements

      • 380 pages
      • 14 hours of reading

      The new third edition of John R. Taylor's best-selling text introduces Bayesian statistics and includes updated chapter-ending problems, enhancing its educational value. Aimed at lower division science students, it simplifies the study of uncertainties through relatable examples, making complex concepts more accessible. Previously translated into nine languages, this text has proven to be a valuable resource for students worldwide.

      An Introduction to Error Analysis, third edition