TY - BOOK ID - 108128375 TI - Statistical foundations, reasoning and inference : for science and data science AU - Kauermann, Göran AU - Küchenhoff, Helmut AU - Heumann, Christian PY - 2021 SN - 9783030698270 9783030698287 9783030698294 9783030698263 3030698297 3030698262 3030698270 PB - Cham, Switzerland : Springer, DB - UniCat KW - Statistical science KW - Information systems KW - Artificial intelligence. Robotics. Simulation. Graphics KW - datamining KW - statistiek KW - data acquisition KW - statistisch onderzoek KW - Mathematical statistics. KW - Estadística matemàtica UR - https://www.unicat.be/uniCat?func=search&query=sysid:108128375 AB - This textbook provides a comprehensive introduction to statistical principles, concepts and methods that are essential in modern statistics and data science. The topics covered include likelihood-based inference, Bayesian statistics, regression, statistical tests and the quantification of uncertainty. Moreover, the book addresses statistical ideas that are useful in modern data analytics, including bootstrapping, modeling of multivariate distributions, missing data analysis, causality as well as principles of experimental design. The textbook includes sufficient material for a two-semester course and is intended for master’s students in data science, statistics and computer science with a rudimentary grasp of probability theory. It will also be useful for data science practitioners who want to strengthen their statistics skills. ER -