The accidental theorist

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David Mann

"The new edition of this Shingo Prize-winning bestseller explains how to implement a Lean transformation that works by developing a culture that builds success from the top down and the bottom up at the same time. This edition provides expanded coverage of executive responsibilities, 20 new case studies, and new examples from the healthcare and process industries. A must-read for any leader undergoing or considering a Lean transformation, this edition also includes expanded coverage of Lean management applications in complex cross functional value stream process improvement projects"--

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Joan Wilen and Lydia Wilen

"Packed with over 1,000 money-saving secrets for unleashing more magic in your kitchen. Dull knives, no sharpener? No problem! And much, much, more."--Amazon.com.

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Robert Went

Globalization is theorized in this book as an emerging new stage of capitalism. Robert Went takes us on a journey from the historical roots of globalization through to its relevance in the modern day.The Enigma of Globalization is a timely addition to an important debate and covers such themes as:* International trade* Free trade and international movement of capital* The role of the world economyThis accessible and intriguing book is a must, not only for students and academics working in the field, but will also prove an interesting read for all those with a general interest in the modern global political economy.

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R.B. Bapat

Linear Algebra and Linear Models comprises a concise and rigorous introduction to linear algebra required for statistics followed by the basic aspects of the theory of linear estimation and hypothesis testing. The emphasis is on the approach using generalized inverses. Topics such as the multivariate normal distribution and distribution of quadratic forms are included. For this third edition, the material has been reorganised to develop the linear algebra in the first six chapters, to serve as a first course on linear algebra that is especially suitable for students of statistics or for those looking for a matrix theoretic approach to the subject. Other key features include: • coverage of topics such as rank additivity, inequalities for eigenvalues and singular values; • a new chapter on linear mixed models; • over seventy additional problems on rank: the matrix rank is an important and rich topic with connections to many aspects of linear algebra such as generalized inverses, idempotent matrices and partitioned matrices. This text is aimed primarily at advanced undergraduate and first-year graduate students taking courses in linear algebra, linear models, multivariate analysis and design of experiments. A wealth of exercises, complete with hints and solutions, help to consolidate understanding. Researchers in mathematics and statistics will also find the book a useful source of results and problems.