Book
Glaz, J. (Ed), Koutras, M. V. (Ed) (2019)

The “Handbook of Scan Statistics” in two volumes is intended for researchers in probability and statistics and scientists in several areas including biology, engineering, health, …

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Book with Online Access
eReference

Book
Sato, S., Kunitomo, N. (2019)

This book presents a systematic explanation of the SIML (Separating Information Maximum Likelihood) method, a new approach to financial econometrics. Considerable interest has …

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Softcover
eBook

Book
Takeuchi, K. (2018)

This volume is a reorganized edition of Kei Takeuchi’s works on various problems in mathematical statistics based on papers and monographs written since the 1960s on several …

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Hardcover
eBook

Book
Härdle, W. K. (Ed), Lu, H. H. (Ed), Shen, X. (Ed) (2018)

Addressing a broad range of big data analytics in cross-disciplinary applications, this essential handbook focuses on the statistical prospects offered by recent developments in …

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Book
Tanaka, K. (2018)

This book is the first to be devoted to the fusion between statistical causal inference and mathematical programming. The main purpose of the book is to provide the algorithms …

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Book
Liu, Y., Akashi, F., Taniguchi, M. (2018)

This book integrates the fundamentals of asymptotic theory of statistical inference for time series under nonstandard settings, e.g., infinite variance processes, not only from …

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Softcover
Softcover
eBook

Book
Martino, L., Míguez Arenas, J., Luengo García, D. (2018)

This book systematically addresses the design and analysis of efficient techniques for independent random sampling. Both general-purpose approaches, which can be used to generate …

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Hardcover
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Book
Kamatani, K. (2018)

This book presents modern techniques for the analysis of Markov chain Monte Carlo (MCMC) methods. A central focus is the study of the number of iteration of MCMC and the relation …

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Softcover
eBook

Book
Shimizu, S. (2018)

This is the first book to provide a comprehensive introduction to a new modeling framework known as semiparametric structural equation modeling and its technique, with the …

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Softcover
eBook

Book
Mano, S. (2018)

This book provides a concise summary of statistical inferences with random combinatorial models, especially random partitions and related models, with necessary theoretical …

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Softcover
eBook

Book
Borg, I., Groenen, P. J., Mair, P. (2018)

This book introduces multidimensional scaling (MDS) and unfolding as data analysis techniques for applied researchers. MDS is used for the analysis of proximity data on a set of …

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Softcover
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Book
Tez, M. (Ed), von Rosen, D. (Ed) (2018)

This volume features selected contributions on a variety of topics related to linear statistical inference. The peer-reviewed papers from the International Conference on Trends …

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Hardcover
eBook

Book
Mola, F. (Ed), Conversano, C. (Ed), Vichi, M. (Ed) (2018)

This edited volume focuses on the latest developments in classification, statistical learning, data analysis and related areas of data science, including statistical analysis of …

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Softcover
eBook

Book
Yanagihara, H. (2018)

This is the first book on an evaluation of (weak) consistency of an information criterion for variable selection in high-dimensional multivariate linear regression models by using …

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Softcover
eBook

Book
Funatogawa, I., Funatogawa, T. (2018)

This book provides a new analytical approach for dynamic data repeatedly measured from multiple subjects over time. Random effects account for differences across subjects. …

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eBook

Book
Abdi, H., Beaton, D. (2018)

With the right R packages, R is uniquely suited to perform Principal Component Analysis (PCA), Correspondence Analysis (CA), Multiple Correspondence Analysis (MCA), and metric …

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Softcover
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Textbook
Berger, P., Maurer, R., Celli, G. B. (2018)

This text introduces and provides instruction on the design and analysis of experiments for a broad audience. Formed by decades of teaching, consulting, and industrial experience …

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Book
Chen, D. (Ed), Jin, Z. (Ed), Li, G. (Ed), Li, Y. (Ed), Liu, A. (Ed), Zhao, Y. (Ed) (2017)

This book is comprised of the presentations delivered at the 25th ICSA Applied Statistics Symposium held at the Hyatt Regency, Atlanta, on June 12-15, 2016. This symposium …

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Textbook
Marasinghe, M. G., Koehler, K. (2017)

The aim of this textbook (previously titled SAS for Data Analytics) is to teach the use of SAS for statistical analysis of data for advanced undergraduate and graduate students in …

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Softcover
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Book
Ferger, D. (Ed), González Manteiga, W. (Ed), Schmidt, T. (Ed), Wang, J. (Ed) (2017)

This book, dedicated to Winfried Stute on the occasion of his 70th birthday, presents a unique collection of contributions by leading experts in statistics, stochastic processes, …

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