Fearless heroes, feisty princesses, sly magicians, terrifying dragons, talking foxes and miniature dogs. They all feature in this enthralling compendium of Chinese fairy tales and legends, along with an array of equally colourful characters and captivating plots. Although largely unknown in the West, the 73 stories in this volume are just as beguiling as the more familiar Grimms' Fairy Tales or Arabian Nights. They were collected in the early 20th century by Richard Wilhelm and first translated into English by Frederick H Martens. This beautifully produced revised and edited new edition includes updated notes which not only provide background on the tales, but also offer a fascinating insight into ancient Chinese folk lore and culture. These are stories to return to time and time again. From awesome adventures to quirky allegories, from the exploits of the gods to fables about beggars who outwit their betters, Chinese Fairy Tales and Legends is extraordinarily diverse and endlessly engaging. These wonderful stories have enduring and universal appeal, and will intrigue both children and adults.

Multivariate data analysis is a central tool whenever several variables need to be considered at the same time. The present book explains a powerful and versatile way to analyse data tables, suitable also for researchers without formal training in statistics.

This method for extracting useful information from data is demonstrated for various types of quality assessment, ranging from human quality perception via industrial quality monitoring to health quality and its molecular basis.

Key features include:

• Minimum mathematics; all technical details in appendix form
• Very accessible style with cartoons, self assessment questions and wide range of practical examples
• All data sets available FREE online on Chemometrics World (http://www.wiley.co.uk/wileychi/chemometrics).

Essential reading for researchers who need data analysis in practice, it will be of particular interest to chemometricians, sensometricians and food scientists already familiar with Harald's previous book.

The book is written with ISO certified businesses and laboratories in mind, to enhance Total Quality Management (TQM). As yet there are no clear guidelines for realistic data analysis of quality in complex systems - this volume bridges the gap.

Contents: Fission Fragment Distributions: Experiment and Theory -- Fission Barriers, Fission Channels, Fission Valleys; Fragment Charge Distributions in Low Energy Fission; Double-Energy, Double-Velocity Measurement of Fission Fragments from Thermal Neutron Induced Fission; Odd-Even Neutron and Proton Effects in Low Energy Nuclear Fission; Energy Balance in MeV Neutron Induced Fission; Formation of the Fragment Mass and Energy Distributions in Fission of Nuclei Lighter than Radium; A New Approach to Determine Elemental Yield, Charge Polarisation and Odd-even Effects in Fission; Fundamental Fission Problems -- Dissipation and Friction in Nuclear Fission; Influence of Diabaticity on Fission Fragment Mass Asymmetry; Space Parity Violation in Nuclear Fission.

Multivariate Calibration Harald Martens, Chemist, Norwegian Food Research Institute, Aas, Norway and Norwegian Computing Center, Oslo, Norway Tormod NA]s, Statistician, Norwegian Food Research Institute, Aas, Norway The aim of this inter-disciplinary book is to present an up-to-date view of multivariate calibration of analytical instruments, for use in research, development and routine laboratory and process operation. The book is intended to show practitioners in chemistry and technology how to extract the quantitative and understandable information embedded in non-selective, overwhelming and apparently useless measurements by multivariate data analysis. Multivariate calibration is the process of learning how to combine data from several channels, in order to overcome selectivity problems, gain new insight and allow automatic outlier detection. Multivariate calibration is the basis for the present success of high-speed Near-Infrared (NIR) diffuse spectroscopy of intact samples. But the technique is very general: it has shown similar advantages in, for instance, UV, Vis, and IR spectrophotometry, (transmittance, reflectance and fluorescence), for x-ray diffraction, NMR, MS, thermal analysis, chromatography (GC, HPLC) and for electrophoresis and image analysis (tomography, microscopy), as well as other techniques. The book is written at two levels: the main level is structured as a tutorial on the practical use of multivariate calibration techniques. It is intended for university courses and self-study for chemists and technologists, giving one complete and versatile approach, based mainly on data compression methodology in self-modelling PLS regression, with considerations ofexperimental design, data pre-processing and model validation. A second, more methodological, level is intended for statisticians and specialists in chemometrics. It compares several alternative calibration methods, validation approaches and ways to optimize the models. The book also outlines some cognitive changes needed in analytical chemistry, and suggests ways to overcome some communication problems between statistics and chemistry and technology.