Exploring textual data, Lebart, Ludovic Salem, A. (universite De La Sorbonne Nouvelle, Paris, France) Berry, L.
Автор: Becue-Bertaut Название: Textual Statistics with R ISBN: 1138626910 ISBN-13(EAN): 9781138626911 Издательство: Taylor&Francis Рейтинг: Цена: 8249 р. Наличие на складе: Поставка под заказ.
Описание: Textual Statistics with R comprehensively covers the main multidimensional methods in textual statistics supported by a specially-written package in R. Methods discussed include correspondence analysis, clustering, and multiple factor analysis for contigency tables. Each method is illuminated by applications. The book is aimed at researchers and students in statistics, social sciences, hiistory, literature and linguistics. The book will be of interest to anyone from practitioners needing to extract information from texts to students in the field of massive data, where the ability to process textual data is becoming essential.
Описание: This is an assessment and review of progress in integrating evolutionary modelling and computation, molecular and developmental evolution, and nonlinear population dynamics into evolutionary theory.
Автор: Ludovic Lebart; A. Salem; L. Berry Название: Exploring Textual Data ISBN: 0792348400 ISBN-13(EAN): 9780792348405 Издательство: Springer Рейтинг: Цена: 20784 р. Наличие на складе: Поставка под заказ.
Описание: This volume demonstrates how exploratory multivariate statistical methods such as correspondence analysis and cluster analysis can be used to help investigate, assimilate and evaluate textual data.
Автор: Atkinson Название: Exploring Multivariate Data with the Forward Search ISBN: 0387408525 ISBN-13(EAN): 9780387408521 Издательство: Springer Рейтинг: Цена: 20211 р. Наличие на складе: Поставка под заказ.
Описание: This book is concerned with data in which the observations are independent and in which the response is multivariate. Anthony Atkinson has been Professor
of Statistics at the London School of Economics since 1989. Before that he was a Professor at Imperial College, London.
He is the author of Plots, Transformations, and
Regression, co-author
of Optimum Experimental Designs, and joint editor of "The Fascination of Statistics", a volume celebrating the centenary of the International Statistical Institute. Professor Atkinson has
served as editor of "The Journal of the Royal Statistical Society, Series B" and as associate editor of "Biometrika and Technometrics". He has published well over 100 articles in these
and other journals including "The Annals of Statistics", "Biometrics", "The Journal of the American Statistical Association", and "Statistics and Computing".
Marco Riani, after
receiving his Ph.D. in Statistics in 1995 from the University of Florence, joined the Faculty of Economics at Parma University as postdoctoral fellow. In 1997 he won the prize for the best
Italian Ph.D.
thesis in Statistics. He is currently Associate Professor of Statistics in the University of Parma. He has published in "Technometrics", "The Journal of
Computational and Graphical Statistics", "The Journal of Business and Economic Statistics", "The Journal of Forecasting", "Environmetrics", "Computational Statistics and Data
Analysis", "Metron", and other journals.
'The book requires knowledge of multivariate statistical methods, because it provides only basic background information on the
methods considered (although with excellent references for further reading at the end of each chapter). Each chapter also includes exercises with solutions...This book could serve as
an excellent text for an advanced course on modern multivariate statistics, as it is intended' - "Technometrics, November 2004". 'This book is full of interest for anyone undertaking
multivariate analyses, clearly emphasizing that uncritical use of standard methods can be misleading' - "Short Book Reviews of the International Statistical Institute, December
2004".
'This book is an interesting complement to various textbooks on multivariate statistics' - "Biometrics, December 2005". 'This book discusses multivariate data from a
different perspective!It is an excellent book for researchers with interests in multivariate data and cluster analysis. It may also be a good reference for students of advanced statistics and
practitioners working with large volumes of data!' - Kassim S.
Mwitondi, "Journal of Applied Statistics, Vol. 32 (4), 2005". 'This is a companion to an earlier book, both of which
feature many informative graphs.
Here, the forward search has been applied in detail to classical multivariate approaches used with Gaussian data! One valuable feature of
the book is the way that the illustrations concentrate on a relatively small number! This makes it easy to concentrate on the application! The implications of this book also strengthen the
importance of data visualization, as well as providing a valuable approach to visualization' - Paul Hewson, "Journal of the Royal Statistical Society Series A, Vol. 168 (2), 2005". 'This
book is a companion to Atkinson! The objective is to identify outliers, appreciate their influence, which would result in an overall improvement.
Graphical tools are widely used,
resulting in three hundred and ninety figures. Each chapter is followed by extensive exercises and their solutions, and the book could be used as an advanced textbook for multivariate
analysis courses. Web-sites provide the relevant software! This book is full of interest for anyone undertaking multivariate analyses!' - B.J.T.
Morgan, "Short Book Reviews
International Statistical Institute, Vol. 24 (3), 2004". 'This book discusses forward search (FS), a method using graphs to explore and m
Автор: Anthony C. Atkinson; Marco Riani; Andrea Cerioli Название: Exploring Multivariate Data with the Forward Search ISBN: 1441923535 ISBN-13(EAN): 9781441923530 Издательство: Springer Рейтинг: Цена: 20211 р. Наличие на складе: Поставка под заказ.
Описание: This book is concerned with data in which the observations are independent and in which the response is multivariate. Companion book to Robust Diagnostic Regression Analysis (ISBN 0-387-95017) published by Springer in 2000.
Описание: Bayesian Inference for Partially Identified Models: Exploring the Limits of Limited Data shows how the Bayesian approach to inference is applicable to partially identified models (PIMs) and examines the performance of Bayesian procedures in partially identified contexts. Drawing on his many years of research in this area, the author presents a thorough overview of the statistical theory, properties, and applications of PIMs. The book first describes how reparameterization can assist in computing posterior quantities and providing insight into the properties of Bayesian estimators. It next compares partial identification and model misspecification, discussing which is the lesser of the two evils. The author then works through PIM examples in depth, examining the ramifications of partial identification in terms of how inferences change and the extent to which they sharpen as more data accumulate. He also explains how to characterize the value of information obtained from data in a partially identified context and explores some recent applications of PIMs. In the final chapter, the author shares his thoughts on the past and present state of research on partial identification. This book helps readers understand how to use Bayesian methods for analyzing PIMs. Readers will recognize under what circumstances a posterior distribution on a target parameter will be usefully narrow versus uselessly wide.
Автор: Nabendu Chaki; Soharab Hossain Shaikh; Khalid Saee Название: Exploring Image Binarization Techniques ISBN: 8132219066 ISBN-13(EAN): 9788132219064 Издательство: Springer Рейтинг: Цена: 15014 р. Наличие на складе: Поставка под заказ.
Описание: The book focuses on an image processing technique known as binarization. In addition to this, the book presents techniques for preparing a reference image which is very much important for quantitative evaluation of the binarization techniques.
Название: Exploring English with Online Corpora ISBN: 1137438096 ISBN-13(EAN): 9781137438096 Издательство: Springer Рейтинг: Цена: 4041 р. Наличие на складе: Поставка под заказ.
Описание: This is an essential guide to using digital resources in the study of English language and linguistics. Assuming no prior experience, it introduces the fundamentals of online corpora and equips readers with the skills needed to search and interpret corpus data. Later chapters focus on specific elements of linguistic analysis, namely vocabulary, grammar, discourse and pronunciation. Examples from five major online corpora illustrate key issues to consider in corpus analysis, while case studies and activities help students get to grips with the wide range of resources that are available and select those that best suit their needs. Perfect for students of corpus linguistics and applied linguistics, this engaging and accessible guide opens the door to an ever-expanding world of online resources. It is also ideal for anyone who is curious about how the English language works and has a desire to explore its many written and spoken forms.
Название: Exploring English with Online Corpora ISBN: 1137438126 ISBN-13(EAN): 9781137438126 Издательство: Springer Рейтинг: Цена: 9932 р. Наличие на складе: Поставка под заказ.
Описание: This is an essential guide to using digital resources in the study of English language and linguistics. Assuming no prior experience, it introduces the fundamentals of online corpora and equips readers with the skills needed to search and interpret corpus data. Later chapters focus on specific elements of linguistic analysis, namely vocabulary, grammar, discourse and pronunciation. Examples from five major online corpora illustrate key issues to consider in corpus analysis, while case studies and activities help students get to grips with the wide range of resources that are available and select those that best suit their needs. Perfect for students of corpus linguistics and applied linguistics, this engaging and accessible guide opens the door to an ever-expanding world of online resources. It is also ideal for anyone who is curious about how the English language works and has a desire to explore its many written and spoken forms.
Автор: Thai Chi N. Название: Exploring Robotics with Robotis Systems ISBN: 3319204173 ISBN-13(EAN): 9783319204178 Издательство: Неизвестно Рейтинг: Цена: 8017 р. Наличие на складе: Невозможна поставка.
Описание: Exploring Probability in School provides a new perspective into research on the teaching and learning of probability. It creates this perspective by recognizing and analysing the special challenges faced by teachers and learners in contemporary classrooms where probability has recently become a mainstream part of the curriculum from early childhood through high school. The authors of the book discuss the nature of probability, look at the meaning of probabilistic literacy, and examine student access to powerful ideas in probability during the elementary, middle, and high school years. Moreover, they assemble and analyse research-based pedagogical knowledge for teachers that can enhance the learning of probability throughout these school years.With the book’s rich application of probability research to classroom practice, it will not only be essential reading for researchers and graduate students involved in probability education; it will also capture the interest of educational policy makers, curriculum personnel, teacher educators, and teachers.
Автор: Chaitin Gregory J. Название: Exploring RANDOMNESS ISBN: 1852334177 ISBN-13(EAN): 9781852334178 Издательство: Springer Цена: 13859 р. Наличие на складе: Поставка под заказ.
Описание: This essential companion volume to CHAITIN's highly successful books The Unknowable and The Limits of Mathematics, also published by Springer, presents the technical core of his theory of program-size complexity, also known as algorithmic information theory. (The two previous volumes are more concerned with applications to meta-mathematics.) LISP is used to present the key algorithms and to enable computer users to interact with the author's proofs and discover for themselves how they work. The LISP code for this book is available at the author's Web site together with a Java applet LISP interpreter: http://www.cs.auckland.ac.nz/CDMTCS/chaitin/ait/"No one has looked deeper and farther into the abyss of randomness and its role in mathematics than Greg Chaitin. This book tells you everything he's seen. Don't miss it."John Casti, Santa Fe Institute, Author of "Goedel: A Life of Logic"
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