The new edition of this important text has been completely revised and expanded to become the most up-to-date and thorough professional reference text in this fast-moving and important area of biostatistics. Two new chapters have been added on fully parametric models for discrete repeated measures data and on statistical models for time-dependent predictors where there may be feedback between the predictor and response variables. It also contains the many useful features of the previous edition such as, design issues, exploratory methods of analysis, linear models for continuous data, and...

During the last 15 years, there has been a systematic development of saddlepoint approximations. They give a highly accurate expression for the tail of a distribution, not only in the center but also for very small tail probabilities. Saddlepoint Approximations provides a complete account of this systematic development, giving worked out examples and comprehensive mathematical techniques for further research in the field. It will be most useful to researchers, students in statistics, and consulting statisticians.

Over recent years, developments in statistical computing have freed statisticians from the burden of calculation and have made possible new methods of analysis that previously would have been too difficult or time-consuming. Up till now these developments have been primarily in numerical computation and graphical display, but equal steps forward are now being made in the area of symbolic computing: the use of computer languages and procedures to manipulate expressions. This allows researchers to compute an algebraic expression, rather than evaluate the expression numerically over a given...