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| Author | : Janet Crawshaw |
| Publisher | : Nelson Thornes |
| Total Pages | : 710 |
| Release | : 2001 |
| Genre | : Mathematics |
| ISBN | : 9780748754755 |
New in this edition is a 20 page section on the use of ICT resources in teaching and learning about statistics. The book also includes over 300 worked examples and advice on how to break down calculations into easy stages.
| Author | : J. Crawshaw |
| Publisher | : |
| Total Pages | : 548 |
| Release | : 1983 |
| Genre | : Mathematics |
| ISBN | : 9780859503785 |
| Author | : Larry Wasserman |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 446 |
| Release | : 2013-12-11 |
| Genre | : Mathematics |
| ISBN | : 0387217363 |
Taken literally, the title "All of Statistics" is an exaggeration. But in spirit, the title is apt, as the book does cover a much broader range of topics than a typical introductory book on mathematical statistics. This book is for people who want to learn probability and statistics quickly. It is suitable for graduate or advanced undergraduate students in computer science, mathematics, statistics, and related disciplines. The book includes modern topics like non-parametric curve estimation, bootstrapping, and classification, topics that are usually relegated to follow-up courses. The reader is presumed to know calculus and a little linear algebra. No previous knowledge of probability and statistics is required. Statistics, data mining, and machine learning are all concerned with collecting and analysing data.
| Author | : J.. Crawshaw |
| Publisher | : |
| Total Pages | : 762 |
| Release | : 1994 |
| Genre | : Mathematical statistics |
| ISBN | : 9780748719525 |
| Author | : J. Crawshaw |
| Publisher | : |
| Total Pages | : 538 |
| Release | : 1987-01-01 |
| Genre | : Mathematical statistics |
| ISBN | : 9780859507097 |
| Author | : Robert W. Keener |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 543 |
| Release | : 2010-09-08 |
| Genre | : Mathematics |
| ISBN | : 0387938397 |
Intended as the text for a sequence of advanced courses, this book covers major topics in theoretical statistics in a concise and rigorous fashion. The discussion assumes a background in advanced calculus, linear algebra, probability, and some analysis and topology. Measure theory is used, but the notation and basic results needed are presented in an initial chapter on probability, so prior knowledge of these topics is not essential. The presentation is designed to expose students to as many of the central ideas and topics in the discipline as possible, balancing various approaches to inference as well as exact, numerical, and large sample methods. Moving beyond more standard material, the book includes chapters introducing bootstrap methods, nonparametric regression, equivariant estimation, empirical Bayes, and sequential design and analysis. The book has a rich collection of exercises. Several of them illustrate how the theory developed in the book may be used in various applications. Solutions to many of the exercises are included in an appendix.
| Author | : J. Crawshaw |
| Publisher | : |
| Total Pages | : 538 |
| Release | : 1984 |
| Genre | : |
| ISBN | : |
| Author | : Simon N. Wood |
| Publisher | : Cambridge University Press |
| Total Pages | : 259 |
| Release | : 2015-04-13 |
| Genre | : Business & Economics |
| ISBN | : 1107071054 |
Core Statistics is a compact starter course on the theory, models, and computational tools needed to make informed use of powerful statistical methods.
| Author | : M.N.M. van Lieshout |
| Publisher | : CRC Press |
| Total Pages | : 162 |
| Release | : 2019-03-19 |
| Genre | : Mathematics |
| ISBN | : 0429627033 |
Theory of Spatial Statistics: A Concise Introduction presents the most important models used in spatial statistics, including random fields and point processes, from a rigorous mathematical point of view and shows how to carry out statistical inference. It contains full proofs, real-life examples and theoretical exercises. Solutions to the latter are available in an appendix. Assuming maturity in probability and statistics, these concise lecture notes are self-contained and cover enough material for a semester course. They may also serve as a reference book for researchers. Features * Presents the mathematical foundations of spatial statistics. * Contains worked examples from mining, disease mapping, forestry, soil and environmental science, and criminology. * Gives pointers to the literature to facilitate further study. * Provides example code in R to encourage the student to experiment. * Offers exercises and their solutions to test and deepen understanding. The book is suitable for postgraduate and advanced undergraduate students in mathematics and statistics.
| Author | : Felix Abramovich |
| Publisher | : CRC Press |
| Total Pages | : 240 |
| Release | : 2013-04-25 |
| Genre | : Mathematics |
| ISBN | : 148221184X |
Designed for a one-semester advanced undergraduate or graduate course, Statistical Theory: A Concise Introduction clearly explains the underlying ideas and principles of major statistical concepts, including parameter estimation, confidence intervals, hypothesis testing, asymptotic analysis, Bayesian inference, and elements of decision theory. It i
