Meaningful use of advanced Bayesian methods requires a good understanding of the fundamentals. This engaging book explains the ideas that underpin the construction and analysis of Bayesian models, with particular focus on computational methods and schemes. The unique features of the text are the extensive discussion of available software packages combined with a brief but complete and mathematically rigorous introduction to Bayesian inference. The text introduces Monte Carlo methods, Markov chain Monte Carlo methods, and Bayesian software, with additional material on model validation and comparison, transdimensional MCMC, and conditionally Gaussian models. The inclusion of problems makes the book suitable as a textbook for a first graduate-level course in Bayesian computation with a focus on Monte Carlo methods. The extensive discussion of Bayesian software - R/R-INLA, OpenBUGS, JAGS, STAN, and BayesX - makes it useful also for researchers and graduate students from beyond statistics.
Highly praised for its clarity and great examples, Weiers's text takes an informal, student-oriented approach to fundamental statistical concepts. Non-technical terminology is used to describe statist
Highly praised for its exceptional clarity, technical accuracy, and useful examples, Weiers' INTRODUCTION TO BUSINESS STATISTICS, Seventh Edition, introduces fundamental statistical concepts with an e
Introducing healthcare students to the basics of using statistics as part of evidence-based practice, this book explains statistical concepts and shows how to do statistical calculations by hand (as w
Introducing healthcare students to the basics of using statistics as part of evidence-based practice, this book explains statistical concepts and shows how to do statistical calculations by hand (as w
With an emphasis on describing concepts, showing through example and illustrating points with graphs and displays, this book provides readers with a step-by-step introduction to using statistics.
With an emphasis on describing concepts, showing through example and illustrating points with graphs and displays, this book provides readers with a step-by-step introduction to using statistics.
"...I know of no better book of its kind..." (Journal of the Royal Statistical Society, Vol 169 (1), January 2006)A revised and updated edition of this bestselling introductory textbook to statistical
Contains fully worked-out solutions to all of the odd-numbered exercises in the text, giving students a way to check their answers and ensure that they took the correct steps to arrive at an answer.
The second edition of this popular text provides undergraduates with a quantitative yet accessible introduction to the physical principles underlying the collection and analysis of observational data in contemporary optical and infrared astronomy. The text clearly links recent developments in ground- and space-based telescopes, observatory and instrument design, adaptive optics, and detector technologies to the more modest telescopes and detectors that students may use themselves. Beginning with reviews of the most relevant physical concepts and an introduction to elementary statistics, students are given the firm theoretical foundation they need. New topics, including an expanded treatment of spectroscopy, Gaia, the Large Synoptic Survey Telescope, and photometry at large redshifts bring the text up to date. Historical development of topics and quotations emphasize that astronomy is both a scientific and a human endeavour, while extensive end-of-chapter exercises facilitate the studen
Across the last forty years, epidemiology has developed into a vibrant scientific discipline that brings together the social and biological sciences, incorporating everything from statistics to the ph
This book presents a concise introduction to Bartlett and Bartlett-type corrections of statistical tests and bias correction of point estimators. The underlying idea behind both groups of corrections
This book is a practical, step-by-step introduction to microsimulation in demography. It shows how to use Modgen, a powerful and free microsimulation platform built by Statistics Canada. The authors'
"This is a book about exploring random systems using computer simulation and thus, this book combines two different topic areas which have always fascinated me: the mathematical theory of probability
Covers the fundamental topics in mathematics, statistics, and financial management that are required for a thorough study of financial markets This comprehensive yet accessible book introduces student
Snijders (statistics in the social sciences, U. of Oxford) and Bosker (U. of Groningen, The Netherlands) offer a textbook for absolute beginners in multilevel analysis, which analyzes data with comple
The MINITAB lab manual is designed to be used with any Elementary Statistics textbook. The lessons are self-explanatory and explore topics that are covered in all elementary texts. The purpose in writ
This is an introductory statistics textbook for business and management students which uses the innovative approach of 'statistical thinking'. Statistics courses are essential for business students bu
Reproducing kernel Hilbert spaces have developed into an important tool in many areas, especially statistics and machine learning, and they play a valuable role in complex analysis, probability, group representation theory, and the theory of integral operators. This unique text offers a unified overview of the topic, providing detailed examples of applications, as well as covering the fundamental underlying theory, including chapters on interpolation and approximation, Cholesky and Schur operations on kernels, and vector-valued spaces. Self-contained and accessibly written, with exercises at the end of each chapter, this unrivalled treatment of the topic serves as an ideal introduction for graduate students across mathematics, computer science, and engineering, as well as a useful reference for researchers working in functional analysis or its applications.
