Publisher Summary This chapter begins with the history of the Rasch models (RM) and also
discusses some basic concepts and properties of the RM. According to Georg Rasch, the …

General state-space Markov chain theory has evolved to make it both more accessible and
more powerful. Markov Chain Monte Carlo in Practice introduces MCMC methods and their …

An Introduction to the Bootstrap arms scientists and engineers as well as statisticians with
the computational techniques they need to analyze and understand complicated data sets …

The book describes and discusses the numerical methods which are successfully being
used for analysing ecological data, using a clear and comprehensive approach. These …

Modern computer-intensive statistical methods play a key role in solving many problems
across a wide range of scientific disciplines. This new edition of the bestselling …

The Hardy-Weinberg law plays an important role in the field of population genetics and often
serves as a basis for genetic inference. Because of its importance, much attention has been …

Hidden Markov models—most often abbreviated to the acronym “HMMs”—are one of the
most successful statistical modelling ideas that have came up in the last forty years: the use …

The idea for this book came from the time the authors spent at the Statistics and Applied
Mathematical Sciences Institute (SAMSI) in Research Triangle Park in North Carolina …

Autocorrelation is a very general statistical property of ecological variables observed across
geographic space; it most common forms are patches and gradients. Spatial autocorrelation …

In 1982, I published several issues of a samdizat scholarly journal called Random ization
with the aid of an 8-bit, I-MH personal computer with 48K of memory (upgraded to 64K later …