A collection of 26 new sampler designs, one for each letter of the alphabet, ranging from sophisticated designs to more traditional ideas. There are designs for every level of skill with easy to follow instructions, graphs indicating every stitch and a list of specific materials.

Artwork by Pamela Parmal.

"American classrooms have gone largely unrecorded, these astonishing embroideries which are usually signed, dated, and even sometimes inscribed with the names of the towns in which they were worked and the names of the embroiderers' teachers serve as historic documents, attesting to the existence of colonial education for women. There is a story behind each of the nearly eighty samplers illustrated in this book"--Insleaves.

Sue Studebaker documents samplers made by young girls in Ohio prior to 1850, the girls who made them, their families, and the teachers who taught them to stitch. Illustrations of these highly prized works are presented, along with the stories behind their creation.

Draws on interviews with more than 100 musicians, managers, lawyers, journalists, and scholars to critique the music industrys approach to digital sampling.

When it comes to data collection and analysis, ranked set sampling (RSS) continues to increasingly be the focus of methodological research. This type of sampling is an alternative to simple random sampling and can offer substantial improvements in precision and efficient estimation. There are different methods within RSS that can be further explored and discussed. On top of being efficient, RSS is cost-efficient and can be used in situations where sample units are difficult to obtain. With new results in modeling and applications, and a growing importance in theory and practice, it is essential for modeling to be further explored and developed through research. Ranked Set Sampling Models and Methods presents an innovative look at modeling survey sampling research and new models of RSS along with the future potentials of it. The book provides a panoramic view of the state of the art of RSS by presenting some previously known and new models. The chapters illustrate how the modeling is to be developed and how they improve the efficiency of the inferences. The chapters highlight topics such as bootstrap methods, fuzzy weight ranked set sampling method, item count technique, stratified ranked set sampling, and more. This book is essential for statisticians, social and natural science scientists, physicians and all the persons involved with the use of sampling theory in their research along with practitioners, researchers, academicians, and students interested in the latest models and methods for ranked set sampling.