Research Methods for the Fashion Industry provides readers with a comprehensive look into the skills and techniques required for conducting research. The text is designed for the most effective teaching and retention of the lessons contained in it, using the tried-and-true methods of learning. Discussing the principles of research methods as they apply to fashion, each chapter is divided into three sections: theory, practice, and application. After finishing this text, readers will be able to conduct a research project and analyze the results using critical thinking skills. An informative and useful resource for students, this book can also serve as a reference for industry professionals.

Ott and Longnecker's AN INTRODUCTION TO STATISTICAL METHODS AND DATA ANALYSIS, Seventh Edition, provides a broad overview of statistical methods for advanced undergraduate and graduate students from a variety of disciplines who have little or no prior course work in statistics

Although formal analysis programming techniques may be quite old, the introduction of formal methods only dates from the 1980s. These techniques enable us to analyze the behavior of a software application, described in a programming language. It took until the end of the 1990s before formal methods or the B method could be implemented in industrial applications or be usable in an industrial setting.

做研究对于中国的许多毕业生和第二语言教师来说是一个谜。本书旨在阐明应用语言学领域，尤其是第二语言习得和教学领域的研究过程。本书是为之前没有研究经验或没有接受过任何正式培训就做过一些研究的人而写的。它对应用语言学毕业生、第二语言教师和教师培训师特别有用。

An Introduction to Numerical Methods and Analysis, Third Edition is the perfect textbook for upper-level undergraduate students in mathematics, science, and engineering courses, as well as for courses in the social sciences, medicine, and business with numerical methods and analysis components.

This book constitutes revised lectures from the 11th Symposium on Formal Methods for Components and Object, FMCO 2012, held in Bertinoro, Italy, in September 2012. The 8 lectures featured in this volume are by world-renowned experts within the area of formal models for objects and components.

Python Programming and Numerical Methods: A Guide for Engineers and Scientists introduces programming tools and numerical methods to engineering and science students, with the goal of helping the students to develop good computational problem-solving techniques through the use of numerical methods and the Python programming language.

Text for a one-term course on Probability and Statistics intended primarily for civil engineering majors. Most often taught out of the Civil Engineering Department. Covers the key concepts and statistical techniques for assessing the reliability of structures and the risk factors in their design.

Kevin Wainwright, a long time user of the text (British Columbia University and Simon Fraser University), has executed the perfect revision―-he has updated examples, applications and theory without changing the elegant, precise presentation style of Alpha Chiang.

The Illustrated Guide to Water Resistant Design and Construction provides state-of-the-art solutions to prevent the most common water-related problems in buildings