Catherine Legrand

Gloriously pieced together, much like the fine garments it portrays, this colourful volume takes the reader on an international tour of indigo-coloured textiles, presenting a huge swathe of remarkable clothing, people and fabric. Catherine Legrand, who has spent over twenty years travelling and researching the subject, has a deep knowledge of the ancient techniques, patterns and clothing traditions that characterize ethnic textile design, knowledge that she deploys to great effect in seven chapters exploring the production of Indigo textiles throughout America, China, India, Africa, Central Asia, Japan and Laos/Vietnam, and the men and women behind them. This profusely illustrated photographic survey features more than 500 photographs, faithfully laid out to reproduce Catherines actual travel notebooks, and is completed by specially commissioned drawings that provide close-ups on patterns and clothes.

The Colour that Changed the World

Indigo

Bernadette Després

EVELYNE REBERG

Ce pack contient les albums : Album BD 12 Et que ça saute ! Album BD 13 Bonjour les cadeaux ! Album BD 14 La tribu des affreux Album BD 15 ça va chauffer ! On ne s'ennuie pas une seconde avec ces deux adorables affreux jojos pleins de ressources. Les gags s'enchaînent en avalanche. Même les enfants qui ne maîtrisent pas encore parfaitement la lecture peuvent se régaler du dessin : les plus petits commencent par déchiffrer les images, drôles et très narratives, et petit à petit, au fil des relectures, ils iront plus loin dans la compréhension en lisant aussi le texte des "bulles". Plaisir garanti : Tom-Tom et Nana sont les copains préférés des 7-10 ans qui collectionnent leurs incroyables aventures.

Tom-Tom et Nana - Pack nouvelle édition n°1

Tom-Tom et Nana, Tome 01

Survival data analysis is a very broad field of statistics, encompassing a large variety of methods used in a wide range of applications, and in particular in medical research. During the last twenty years, several extensions of "classical" survival models have been developed to address particular situations often encountered in practice. This book aims to gather in a single reference the most commonly used extensions, such as frailty models (in case of unobserved heterogeneity or clustered data), cure models (when a fraction of the population will not experience the event of interest), competing risk models (in case of different types of event), and joint survival models for a time-to-event endpoint and a longitudinal outcome. Features Presents state-of-the art approaches for different advanced survival models including frailty models, cure models, competing risk models and joint models for a longitudinal and a survival outcome Uses consistent notation throughout the book for the different techniques presented Explains in which situation each of these models should be used, and how they are linked to specific research questions Focuses on the understanding of the models, their implementation, and their interpretation, with an appropriate level of methodological development for masters students and applied statisticians Provides references to existing R packages and SAS procedure or macros, and illustrates the use of the main ones on real datasets This book is primarily aimed at applied statisticians and graduate students of statistics and biostatistics. It can also serve as an introductory reference for methodological researchers interested in the main extensions of classical survival analysis.

Catherine Legrand

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