Ulteriori informazioni
Zusatztext "I think that Everitt has been quite successful. All the standard topics! such as probability! estimation! hypothesis testing! analysis of variance! and regression! are discussed. The discussion is short! to the point! readable! and reliable. In addition! there are the more 'advanced' topics of logistic regression! survival analysis! longitudinal data analysis! and multivariate analysis! thus providing the reader with a short introduction to a wide array of the methods in the statistical arsenal without getting bogged down in detail. ? a brief! but good! introduction to statistics. ? excellent 'refresher' for those who have already experienced an introduction to statistics and want a slightly different approach or point of view."-David Bellhouse! The American Statistician! November 2014"For an MAA member! this book might serve as a small desktop encyclopedia of statistics ? . For someone with the mathematical prerequisites! it can answer questions such as 'What is logistic regression?' with a bit more detail than a dictionary of statistics."-Robert W. Hayden! MAA Reviews! May 2012 Informationen zum Autor Brian Everitt is Retired from King's College London, UK. Klappentext This book follows in the footsteps of The Mathematics Companion and The Physics Companion! presenting an introduction to basic probability and statistics through bite-size coverage of key topics. It is designed as a revision aid and study guide for undergraduate students! with descriptions of key concepts from probability and statistics in self-contained sections. It also makes an excellent reference for non-statisticians from various scientific disciplines who need an easy-to-follow reference for basic statistical techniques. The text shows how statistics can be applied in the real world! with lots of interesting examples and plenty of diagrams and graphs to illustrate the concepts more clearly. Zusammenfassung The book is intended as a quick source of reference and as an aide-memoir for students taking A-level, undergraduate or postgraduate statistics courses. It includes numerous examples, helping instructors on such courses by providing their students with small data sets with which to work. Inhaltsverzeichnis Some Basics and Describing Data. Probability. Estimation. Inference. Analysis of Variance Models. Linear Regression Models. Logistic Regression and the Generalized Linear Model. Survival Analysis. Longitudinal Data and Their Analysis. Multivariate Data and Their Analysis. ...
