Vic Barnett Bücher

Provides a clear understanding of the application of mixed models, and describes the benefits to be gained from their use as well as the practical implications. Mixed models is becoming a popular method of statistical analysis used for analysing medical data, particularly in the pharmaceutical industry. This method often gives improvements over conventional fixed effect models, especially when data are unbalanced. Presently there is no other book covering the application of mixed models to clinical data, making this book essential reading for those involved in this subject. Features include: * Takes a balanced view of mixed models by discussing some of the problems in their use and indicates where more conventional fixed effect models might be preferred. * Easily accessible to practitioners in any areas where mixed models are used, including medical statisticians and economists * Illustrated with numerous medical examples which clearly demonstrate the application of the theory * Extensive coverage of the underlying theory * Devotes a complete chapter to the use of software procedures and macros to fit mixed models. This title is aimed at medical, applied and bio-statisticians, along with teachers and students of advanced statistics courses in mixed models. The book is also suitable for medical scientists who need to understand the techniques used and the assumuptions which underpin their use.

Sample surveys play a vital role in modern society in allowing us to collect and process data about particular groups. Sample Principles and Methods aims to provide a comprehensive coverage of survey sampling to meet the needs of students, statisticians and other practitioners. Thisthird edition has evolved to reflect the new demands for wider areas of application and to keep up-to-date with developing methods of carrying out surveys, such as via email and the internet. New chapters introduce modern approaches to sampling methods for rare and sensitive events and for naturalphenomena, with particular reference to contemporary biological, environmental and social issues. Wide-ranging topical examples on all topics are given throughout the text. Practical exercises are presented at chapter ends, and numerical answers are provided in all cases. As well as new chapterscovering a wider range of fields in which sample surveys can be used, new features in this new edition include chapter summaries and an expanded bibliography and reference section.

A comprehensive guide to simulation methods with explicit recommendations of methods and algorithms. Covers both the technical aspects of the subject, such as the generation of random numbers, non-uniform random variates and stochastic processes, and the use of simulation. Supported by the relevant mathematical theory, the text contains a great deal of unpublished research material, including coverage of the analysis of shift-register generators, sensitivity analysis of normal variate generators, analysis of simulation output, and more. Includes a selection of computer programs.