761 rezultatov
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Structural Equation Modeling for Health and Medicine(2022) GUNZLER, DOUGLAS D. (CASE WESTERN RESERVE UNIVERSITY AT METROHEALTH MEDICAL CENTRE),PERZYNSKI, ADAM T.,CARLE, ADAM C.SEM is a very general and flexible multivariate technique that allows relationships among variables to be examined. The roots of SEM are in the social sciences. In writing this textbook, we look to make SEM accessible to a wider audience of researchers acVezava: Mehka78,01 € -
Explanatory Model Analysis(2022) BIECEK, PRZEMYSLAW,BURZYKOWSKI, TOMASZ (HASSELT UNIVERSITY, BELGIUM)This book is about a new field in statistical machine learning – about interpretation and explanation of predictive models. Machine learning models are widely used in predictive modelling, both for regression and classification.Vezava: Mehka83,10 € -
Bayesian Data Analysis for the Behavioral and Neural Sciences(2021) HUDSON, TODD E. (NEW YORK UNIVERSITY)This textbook teaches undergraduates in psychology, neuroscience, and medicine modern data analysis techniques. It uses non-calculus-based mathematics with examples specific to behavioral and neural sciences. Perfect for statistics courses, it shows studeVezava: Trda88,59 € -
Expected Goals(2022) SMITH, RORYShortlisted for the William Hill Sports Book of the Year Award 202223,61 € -
Scouting and Scoring(2021) PHILLIPS, CHRISTOPHER J.An in-depth look at the intersection of judgment and statistics in baseballScouting and scoring are considered fundamentally different ways of ascertaining value in baseball. Scouting seems to rely on experience and intuition, scoring on performance metriVezava: Mehka26,54 € -
Modern Data Science with R(2021) BAUMER, BENJAMIN S. (SMITH COLLEGE, NORTHHAMPTON, MA),KAPLAN, DANIEL T. (SMITH COLLEGE, NORTHHAMPTON, MA),HORTON, NICHOLAS J. (AMHERST COLLEGE, AMHERST, MA)This textbook is designed for an undergraduate course in data science that emphasizes topics in both statistics and computer science.Vezava: Trda141,74 € -
Sample Size Calculations in Clinical Research(2020) CHOW, SHEIN-CHUNG (DUKE UNIV, USA),SHAO, JUN (DEPARTMENT OF STATISTICS, UNIVERSITY OF WISCONSIN, USA),WANG, HANSHENG,LOKHNYGINA, YULIYA (DUKE UNIVERSITY SCHOOL OF MEDICINE, DURHAM, NC, USA)Like the well-regarded and bestselling second edition, Sample Size Calculations in Clinical Research, Third Edition, presents statistical procedures for performing sample size calculations during various phases of clinical research and development. This nVezava: Mehka71,22 € -
Reproducible Research with R and RStudio(2020) GANDRUD, CHRISTOPHERBrings together the skills and tools needed for doing and presenting computational research. Using straightforward examples, the book takes you through an entire reproducible research workflow.Vezava: Mehka106,84 € -
Statistical Rethinking(2020) MCELREATH, RICHARD (MAX PLANCK INSTITUTE FOR EVOLUTIONARY ANTHROPOLOGY, LEIPZIG, GERMANY)Statistical Rethinking: A Bayesian Course with Examples in R and Stan, Second Edition builds knowledge/confidence in statistical modeling. Pushes readers to perform step-by-step calculations (usually automated.) Unique, computational approach.Vezava: Trda127,58 € -
Probabilistic Numerics(2022) HENNIG, PHILIPP (EBERHARD-KARLS-UNIVERSITAT TUBINGEN, GERMANY),OSBORNE, MICHAEL A. (UNIVERSITY OF OXFORD),KERSTING, HANS P. (ECOLE NORMALE SUPERIEURE, PARIS)This text provides a first comprehensive introduction to probabilistic numerics, aimed at Masters' and PhD students, as well as postgraduate researchers in artificial intelligence, computer science, statistics, and applied mathematics. It contains extensiVezava: Trda93,27 € -
Introduction to Modern Analysis(2022) KANTOROVITZ, SHMUEL (PROFESSOR EMERITUS OF MATHEMATICS, PROFESSOR EMERITUS OF MATHEMATICS, BAR-ILAN UNIVERSITY),VISELTER, AMI (SENIOR LECTURER, SENIOR LECTURER, UNIVERSITY OF HAIFA)Aimed at advanced undergraduate and graduate students this textbook provides an introduction to the vast and crucial area of modern analysis. This new edition begins by covering the theoretical bases, gradually moving on to more advanced subjects and pracVezava: Mehka91,59 € -
Mathematics for Machine Learning(2020) DEISENROTH, MARC PETER (UNIVERSITY COLLEGE LONDON),FAISAL, A. ALDO (IMPERIAL COLLEGE LONDON),ONG, CHENG SOONThis self-contained textbook introduces all the relevant mathematical concepts needed to understand and use machine learning methods, with a minimum of prerequisites. Topics include linear algebra, analytic geometry, matrix decompositions, vector calculusVezava: Mehka73,49 € -
Data-Driven Science and Engineering(2022) BRUNTON, STEVEN L. (UNIVERSITY OF WASHINGTON),KUTZ, J. NATHAN (UNIVERSITY OF WASHINGTON)Data-driven discovery is revolutionizing how we model, predict, and control complex systems. This text integrates emerging machine learning and data science methods for engineering and science communities. Now with Python and MATLAB®, new chapters on reinVezava: Trda84,79 € -
Statistical Reasoning for Surgeons(2020) MALTENFORT, MITCHELL G.,RESTREPO, CAMILO (ROTHMAN INSTITUTE AT THOMAS JEFFERSON UNIVERSITY HOSPITAL),CHEN, ANTONIA F.This is a concise book that explains ideas of statistical reasoning for an audience of practising surgeons. It covers topics of specific interest to surgeons, notably concerning patient outcomes after surgery. It uses concrete real examples to illustrateVezava: Mehka47,70 € -
Advanced Spatial Modeling with Stochastic Partial Differential Equations Using R and INLA(2018) KRAINSKI, ELIAS,GOMEZ-RUBIO, VIRGILIO,BAKKA, HAAKON,LENZI, AMANDA,CASTRO-CAMILO, DANIELA,SIMPSON, DANIEL,LINDGREN, FINN,RUE, HAVARDThe Integrated Nested Laplace Approximation is a popular method for approximate Bayesian inference. INLA is an alternative to other methods for Bayesian inference, such as Markov Chain Monte Carlo, that are more computationally demanding. In addition, theVezava: Trda181,13 € -
Interface between Regulation and Statistics in Drug Development(2022) ALEMAYEHU, DEMISSIE,EMIR, BIROL,GAFFNEY, MICHAEL (PFIZER INC., NEW YORK)This book provides a systematic exposition of the interplay between the two disciplines, including emerging themes pertaining to the acceleration of the development of pharmaceutical medicines to serve patients with unmet needs.Vezava: Mehka79,72 € -
First Course in Machine Learning(2020) ROGERS, SIMON,GIROLAMI, MARKThe new edition of this popular, undergraduate textbook has been revised and updated to reflect current growth areas in Machine Learning. The new edition includes three new chapters with more detailed discussion of Markov Chain Monte Carlo techniques, ClaVezava: Mehka72,92 € -
How Charts Lie(2020) CAIRO, ALBERTO (UNIVERSITY OF MIAMI)A leading data visualisation expert explores the negative—and positive-influences that charts have on our perception of truthVezava: Mehka20,89 € -
Sabermetrics(2022) COSTA, GABRIEL B. (VISITING PROFESSOR, DEPARTMENT OF MATHEMATICAL SCIENCES, UNITED STATES MILITARY ACADEMY, WEST POINT, NY, USA)Vezava: Mehka122,26 € -
Getting Started with R(2017) BECKERMAN, ANDREW P. (DEPARTMENT OF ANIMAL AND PLANT SCIENCE, UNIVERSITY OF SHEFFIELD),CHILDS, DYLAN Z. (DEPARTMENT OF ANIMAL AND PLANT SCIENCE, UNIVERSITY OF SHEFFIELD),PETCHEY, OWEN L. (DEPARTMENT OF EVOLUTIONARY BIOLOGY AND ENVIRONMENTAL STUDIES, UNIVERSITY OF ZURICH)A popular entry-level guide into the use of R as a statistical programming and data management language for students, post-docs, and seasoned researchers now in a new revised edition, incorporating the updates in the R environment, and also adding guidancVezava: Mehka72,92 €
