Advances in Statistics - Theory and Applications: Honoring the Contributions of Barry C. Arnold in Statistical Science, Ghosh Indranil, Balakrishnan N., Ng Hon Keung Tony
Автор: Brown Bohemians Название: Brown Bohemians: Honoring the Light and Magic of Our Creative Community ISBN: 1576879232 ISBN-13(EAN): 9781576879238 Издательство: Random House (USA) Рейтинг: Цена: 6207.00 р. Наличие на складе: Есть (2 шт.) Описание: Brown Bō'hēmians captures the essence and voice of an underrepresented demographic: creative people of color. Influenced by a deeply held belief that stories sculpt our collective narrative, a group of authors and artists came together to create this first-of-its-kind collection. Inspired by their unique tastes and experiences in fashion, lifestyle, and art, Brown Bō'hēmians brings a vital and virtual movement, born on social media, to life and into print. People of color are the originators of all things, yet are all too often overlooked. Each of our stories is unique, but collectively they contribute to the rebuilding of community, and counter hundreds of years of colonialism, narrow minded and harmful media representation, non-inclusive and conformist beauty standards, and a systemic, historical lack of recognition for our contributions. Brown Bō'hēmians reclaims a small piece of a space that has always been rightfully ours. Created to recognize and elevate the underrepresented and the undervalued, Brown Bō'hēmians is food for the creative spirit that most needs it: you.
Описание: This volume brings together a selection of Richard Ruiz` writings on language planning orientations, bilingual and language minority education, language threat and endangerment, voice and empowerment, and even language fun, accompanied by contributions from colleagues and former students reflecting and expanding on Ruiz` ground-breaking work.
Автор: Jack C. Lee; Wesley O. Johnson; Arnold Zellner Название: Modelling and Prediction Honoring Seymour Geisser ISBN: 1461275296 ISBN-13(EAN): 9781461275299 Издательство: Springer Рейтинг: Цена: 6986.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Modelling and Prediction Honoring Seymour Geisser contains the refereed proceedings of the Conference on Forecasting, Prediction, and Modelling held at National Chiao Tung University, Taiwan in 1994.
Автор: Platt Christine Название: Honoring Heroes ISBN: 1644945215 ISBN-13(EAN): 9781644945216 Издательство: Gazelle Book Services Рейтинг: Цена: 2357.00 р. Наличие на складе: Поставка под заказ.
Описание: Ana & Andrew are always on an adventure! They live in Washington, DC with their parents, but with family in Savannah, Georgia and Trinidad, theres always something exciting and new to learn about African American history and culture. Aligned to Common Core standards and correlated to state standards.
Автор: Dancy Deborah, Heard Lisa M. Название: Honoring The Call ISBN: 195231237X ISBN-13(EAN): 9781952312373 Издательство: Неизвестно Рейтинг: Цена: 1654.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
Do you feel that God has called you into ministry and have no idea where to start? If you answered yes, then this book is for you "Honoring The Call," by Deborah Dancy will walk you through the process. You will find that your call starts with your honor towards God. We are all called/summoned to honor Him, the One who predestined us before we were in our mother's womb You will discover the necessity, the testing, and the urgency of the call. Lastly, Deborah Dancy will show you that your past does not negate God's plan for your life.
A brand new, fully updated edition of a popular classic on matrix differential calculus with applications in statistics and econometrics
This exhaustive, self-contained book on matrix theory and matrix differential calculus provides a treatment of matrix calculus based on differentials and shows how easy it is to use this theory once you have mastered the technique. Jan Magnus, who, along with the late Heinz Neudecker, pioneered the theory, develops it further in this new edition and provides many examples along the way to support it.
Matrix calculus has become an essential tool for quantitative methods in a large number of applications, ranging from social and behavioral sciences to econometrics. It is still relevant and used today in a wide range of subjects such as the biosciences and psychology. Matrix Differential Calculus with Applications in Statistics and Econometrics, Third Edition contains all of the essentials of multivariable calculus with an emphasis on the use of differentials. It starts by presenting a concise, yet thorough overview of matrix algebra, then goes on to develop the theory of differentials. The rest of the text combines the theory and application of matrix differential calculus, providing the practitioner and researcher with both a quick review and a detailed reference.
Fulfills the need for an updated and unified treatment of matrix differential calculus
Contains many new examples and exercises based on questions asked of the author over the years
Covers new developments in field and features new applications
Written by a leading expert and pioneer of the theory
Part of the Wiley Series in Probability and Statistics
Matrix Differential Calculus With Applications in Statistics and Econometrics Third Edition is an ideal text for graduate students and academics studying the subject, as well as for postgraduates and specialists working in biosciences and psychology.
Автор: Bradley Efron and Trevor Hastie Название: Computer Age Statistical Inference ISBN: 1107149894 ISBN-13(EAN): 9781107149892 Издательство: Cambridge Academ Рейтинг: Цена: 9029.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The twenty-first century has seen a breathtaking expansion of statistical methodology, both in scope and in influence. 'Big data', 'data science', and 'machine learning' have become familiar terms in the news, as statistical methods are brought to bear upon the enormous data sets of modern science and commerce. How did we get here? And where are we going? This book takes us on an exhilarating journey through the revolution in data analysis following the introduction of electronic computation in the 1950s. Beginning with classical inferential theories - Bayesian, frequentist, Fisherian - individual chapters take up a series of influential topics: survival analysis, logistic regression, empirical Bayes, the jackknife and bootstrap, random forests, neural networks, Markov chain Monte Carlo, inference after model selection, and dozens more. The distinctly modern approach integrates methodology and algorithms with statistical inference. The book ends with speculation on the future direction of statistics and data science.
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