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Interest in statistical methodology is increasing so rapidly in the astronomical community that accessible introductory material in this area is long overdue. This book fills the gap by providing a presentation of the most useful techniques in multivariate statistics. A wide-ranging annotated set of general and astronomical bibliographic references follows each chapter, providing valuable entry-points for research workers in all astronomical sub-disciplines. Although the applications considered focus on astronomy, the algorithms used can be applied to similar problems in other branches of science. Fortran programs are provided for many of the methods described.

The pilot boat just moved away and'its lights are already fading towards the coast of Northeastern Queensland over which Saturn is going to set. There is still quite some time to go before dawn. The big ship has now regained her cruise speed following its roughly northwesterly route in the South Coral Sea along the chain of nearby reefs. Few people are around at this time, except a dozen early birds sharing some'shipshaping'exercise on the top deck and taking advantage of the relative coolness of the night. On my way down to the stateroom, I cannot but stop once more in front of that elegant composition by British artist Brigid Collins (1963-) hanging in the monumental staircase between Decks 7 and 8. That piece 2 of art, a 1.8x 1.8m oil on canvas plus collage entitled Berinl in honour of the Danish explorer, gathers together many navigation-related themes of the time: Suns, Moons, planets, sky maps, astrolabes, small telescopes, as well as drawings, diagrams and charts of all kinds. It is somehow a digest of how astronomical information was then collected, made available, and used.

This book is dedicated to the memory of Gisèle Mersch whose life ended prematurely in June 2002. Back in the 1970s, when few people were using them, Gisèle introduced me to the arcane secrets of then advanced m- tivariate statistical methodologies. I was already involved in more classical statistical studies undertaken at Paris Observatory with Jean Jung: developing and applying maxim- likelihood algorithms to stellar photometric and kinematic data in order to derive absolute luminosities, distances and velocities in the solar neighb- hood. But what could be envisaged with those methodologies was something of another dimension: for the first time, I could really see how to extract information from massive amounts of data without calling for elaborated physical or mechanical theories. Several pioneering applications were developed under Gisèle's guidance and with her collaboration to study the delicate interface between spect- scopic and photometric data. Thus errors in spectral classifications were investigated as well as predictions of spectral classifications from pho- metric indices (see Heck 1976, Heck et al. 1977, Heck & Mersch 1980 and Mersch & Heck 1980), with very interesting results for the time. Gisèle also took part in studies of period determination algorithms (see Mersch & Heck 1981, Manfroid et al. 1983 and Heck et al. 1985).

Intelligent information Retrieval comprehensively surveys scientific information retrieval, which is characterized by growing convergence of information expressed in varying complementary forms of data - textual, numerical, image, and graphics; by the fundamental transformation which the scientific library is currently being subjected to; and by computer networking which as become an essential element of the research fabric. Intelligent Information Retrieval addresses enabling technologies, so-called `wide area network resource discovery tools', and the state of the art in astronomy and other sciences. This work is essential reading for astronomers, scientists in related disciplines, and all those involved in information storage and retrieval.