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This book will be of interest to mathematical statisticians and biometricians interested in block designs. After presenting the general theory of analysis based on the randomization model in Part I, the constructional and combinatorial properties of design are described in Part II.

By providing a comprehensive look at statistical inference from record-breaking data in both parametric and nonparametric settings, this book treats the area of nonparametric function estimation from such data in detail. Statisticians, mathematicians, and engineers will find the book useful as a research reference.

Robust Bayesian analysis aims at overcoming the traditional objection to Bayesian analysis of its dependence on subjective inputs, mainly the prior and the loss.

This collection of papers provides an up to date treatment of item response theory, an important topic in educational testing.

In order to precisely model real-life systems or man-made devices, both nonlinear and dynamic properties need to be taken into account.

These notes represent our summary of much of the recent research that has been done in recent years on approximations and bounds that have been developed for compound distributions and related quantities which are of interest in insurance and other areas of application in applied probability.

Artificial "neural networks" are widely used as flexible models for classification and regression applications, but questions remain about how the power of these models can be safely exploited when training data is limited.

This volume contains a selection of chapters based on papers to be presented at the Fifth Statistical Challenges in Modern Astronomy Symposium. Modern astronomical research faces a vast range of statistical issues which have spawned a revival in methodological activity among astronomers.