4th Edition. — Springer, 2015. — 581 p. From the Back Cover Focusing on high-dimensional applications, this 4th edition presents the tools and concepts used in multivariate data analysis in a style that is also accessible for non-mathematicians and practitioners. It surveys the basic principles and emphasizes both exploratory and inferential statistics; a new chapter on...
Springer – 2004, 1078 p. ISBN: 3540404643 The Handbook of Computational Statistics - Concepts and Methods ist divided into 4 parts. It begins with an overview of the field of Computational Statistics, how it emerged as a separate discipline, how it developed along the development of hard- and software, including a discussion of current active research. The second part presents...
Springer, 2012. — 1179 p. 297 illus., 96 illus. in color — 2nd ed. — ISBN: 3642215505, 9783642215513 Series: Springer Handbooks of Computational Statistics The Handbook of Computational Statistics - Concepts and Methods (second edition) is a revision of the first edition published in 2004, and contains additional comments and updated information on the existing chapters, as...
4th Edition. — N.-Y.: Springer, 2015. — 580 p. — ISBN: 978-3-662-45170-0, e-ISBN: 978-3-662-45171-7. Revised and updated fourth edition offers a broader range of material. Offers a wide scope of methods and applications, making this a comprehensive treatment of the subject. Includes a wealth of examples and exercises — ideal for students in economics and finance Quantlets in R...
National Academies Press, 2013. — 190 p. — ISBN: 0309287782, 9780309287784 From Facebook to Google searches to bookmarking a webpage in our browsers, today's society has become one with an enormous amount of data. Some internet-based companies such as Yahoo! are even storing exabytes (10 to the 18 bytes) of data. Like these companies and the rest of the world, scientific...
Second Edition. — CRC Press ; Taylor & Francis Group, 2008. — 384 p. — (Statistics in the Social and Behavioral Sciences Series). — ISBN: 978-1-58488-961-8 Drawing on the authors’ varied experiences working and teaching in the field, Analysis of Multivariate Social Science Data, Second Edition enables a basic understanding of how to use key multivariate methods in the social...
Satish V. Ukkusuri, Chao Yang Transportation Analytics in the Era of Big Data // Springer International Publishing AG, part of Springer Nature — 2019 — 240 p. This book presents papers based on the presentations and discussions at the international workshop on Big Data Smart Transportation Analytics held July 16 and 17, 2016 at Tongji University in Shanghai and chaired by...
5 th Edition. — Springer, 2019. — 558 p. – ISBN: 978-3-030-26005-7. This textbook presents the tools and concepts used in multivariate data analysis in a style accessible for non-mathematicians and practitioners. All chapters include practical exercises that highlight applications in different multivariate data analysis fields, and all the examples involve high to ultra-high...
The Article of Patricia M. West; Patrick L. Brockett; Linda L. Golden Marketing Science, Vol. 16, No. 4 (1997), 370-391. This paper presents a definitive description of neural network methodology and provides an evaluation of its advantages and disadvantages relative to statistical procedures. The development of this rich class of models was inspired by the neural architecture...
5th Edition. — Springer, 2019. — 558 p. — ISBN: 978-3-030-26005-7. This textbook presents the tools and concepts used in multivariate data analysis in a style accessible for non-mathematicians and practitioners. All chapters include practical exercises that highlight applications in different multivariate data analysis fields, and all the examples involve high to ultra-high...
The Article of Patricia M. West; Patrick L. Brockett; Linda L. Golden Marketing Science, Vol. 16, No. 4 (1997), 370-391. This paper presents a definitive description of neural network methodology and provides an evaluation of its advantages and disadvantages relative to statistical procedures. The development of this rich class of models was inspired by the neural architecture...
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