Learn How to Program Stochastic ModelsHighly recommended, the best-selling first edition of Introduction to Scientific Programming and Simulation Using R was lauded as an excellent, easy-to-read introduction with extensive examples and exercises. This second edition continues to introduce scientific programming and stochastic modelling in a clear,
Learn How to Program Stochastic Models Highly recommended, the best-selling first edition of Introduction to Scientific Programming and Simulation Using R was lauded as an excellent, easy-to-read introduction with extensive examples and exercises. This second edition continues to introduce scientific programming and stochastic modelling in a clear, practical, and thorough way. Readers learn programming by experimenting with the provided R code and data. The book’s four parts teach: Core knowledge of R and programming concepts How to think about mathematics from a numerical point of view, including the application of these concepts to root finding, numerical integration, and optimisation Essentials of probability, random variables, and expectation required to understand simulation Stochastic modelling and simulation, including random number generation and Monte Carlo integration In a new chapter on systems of ordinary differential equations (ODEs), the authors cover the Euler, midpoint, and fourth-order Runge-Kutta (RK4) schemes for solving systems of first-order ODEs. They compare the numerical efficiency of the different schemes experimentally and show how to improve the RK4 scheme by using an adaptive step size. Another new chapter focuses on both discrete- and continuous-time Markov chains. It describes transition and rate matrices, classification of states, limiting behaviour, Kolmogorov forward and backward equations, finite absorbing chains, and expected hitting times. It also presents methods for simulating discrete- and continuous-time chains as well as techniques for defining the state space, including lumping states and supplementary variables. Building readers’ statistical intuition, Introduction to Scientific Programming and Simulation Using R, Second Edition shows how to turn algorithms into code. It is designed for those who want to make tools, not just use them. The code and data are available for download from CRAN.
Reprint of the original, first published in 1871. The publishing house Anatiposi publishes historical books as reprints. Due to their age, these books may have missing pages or inferior quality. Our aim is to preserve these books and make them available to the public so that they do not get lost.
This fully revised and updated second edition is an essential introduction to inferential statistics. It is the first introductory statistics text to use an estimation approach from the start and also to explain the new and exciting Open Science practices, which encourage replication and enhance the trustworthiness of research. The estimation approach, with meta-analysis (“the new statistics”), is exactly what’s needed for Open Science. Key features of this new edition include: Even greater prominence for Open Science throughout the book. Students easily understand basic Open Science practices and are guided to use them in their own work. There is discussion of the latest developments now being widely adopted across science and medicine. Integration of new open-source esci (Estimation Statistics with Confidence Intervals) software, running in jamovi. This is ideal for the book and extends seamlessly to what’s required for more advanced courses, and also by researchers. See www.thenewstatistics.com/itns/esci/jesci/. Colorful interactive simulations, including the famous dances, to help make key statistical ideas intuitive. These are now freely available through any browser. See www.esci.thenewstatistics.com/. Coverage of both estimation and null hypothesis significance testing (NHST) approaches, with full guidance on how to translate between the two. Effective learning strategies and pedagogical features to promote critical thinking, comprehension and retention Designed for introduction to statistics, data analysis, or quantitative methods courses in psychology, education, and other social and health sciences, researchers interested in understanding Open Science and the new statistics will also appreciate this book. No familiarity with introductory statistics is assumed.
This is the first study of Freud's texts to incorporate the intellectual findings of Adolf Grünbaum, the archival material published by Jeffrey Masson (the recently published correspondence between Freud and Wilhelm Fliess) and Lewin's profile of long-term cocaine users. Wilcocks challenges literary critics who have granted Freud's writings "scientific" status, and claims that the works are no more than the rhetorical deceptions of a talented writer. Through a careful examination of the Freud-Fliess correspondence and of Freud's case histories, and through a novel comparison of Freud's rhetorical devices with Poe's rhetoric of deception in the essay "Maelzel's Chess-Player," Wilcocks reveals that Freud was a talented but disturbed master of deception, including self-deception.
Designing and making successful automata involves combining materials, mechanisms and magic. Making Simple Automata explains how to design and construct small scale, simple mechanical devices made for fun. Materials such as paper and card, wood, wire, tinplate and plastics are covered along with mechanisms - levers and linkages, cranks and cams, wheels, gears, pulleys, springs, ratchets and pawls. This wonderful book is illustrated with examples throughout and explains the six golden rules for making automata alongside detailed step-by-step projects. Magic - an unanalyzable charm, a strong fascination so that the whole is more than the sum of its parts. Superbly illustrated with 110 colour photographs with examples and detailed step-by-step projects.
Part of David J. Magee's Musculoskeletal Rehabilitation Series, Athletic and Sport Issues in Musculoskeletal Rehabilitation provides expert insight and clear rehabilitation guidelines to help you manage injuries and special medical needs unique to athletic clients. Contributions from leading physical therapists, athletic trainers, and orthopedic surgeons give you a comprehensive, clinically relevant understanding of common sports-related injuries and help you ensure the most effective therapeutic outcomes. - Addresses a broad range of sports-related injuries and conditions - Reinforces key concepts with highlighted content and hundreds of detailed illustrations - Summarizes essential information for fast, easy reference in class or in clinical settings
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