![Model Selection and Error Estimation in a Nutshell]( "Model Selection and Error Estimation in a Nutshell")
Book
Oneto, L. (2020)
How can we select the best performing data-driven model? How can we rigorously estimate its generalization error? Statistical learning theory answers these questions by deriving …
Available Formats:
Hardcover
eBook
![Cricket Performance Management]( "Cricket Performance Management")
Book
Saikia, H., Bhattacharjee, D., Mukherjee, D. (2019)
This book focuses on the application of data mining techniques in cricket. It provides detailed examples of how data mining can be helpful for decision-making in sports with …
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eBook
Hardcover
![Bayesian Analysis of Demand Under Block Rate Pricing]( "Bayesian Analysis of Demand Under Block Rate Pricing")
Book
Miyawaki, K. (2019)
This book focuses on the structural analysis of demand under block rate pricing, a type of nonlinear pricing used mainly in public utility services. In this price system, …
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Softcover
eBook
![Finite Form Representations for Meijer G and Fox H Functions]( "Finite Form Representations for Meijer G and Fox H Functions")
Book
Coelho, C. A., Arnold, B. C. (2019)
This book depicts a wide range of situations in which there exist finite form representations for the Meijer G and the Fox H functions. Accordingly, it will be of interest to …
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Softcover
eBook
![Data Visualisation with R]( "Data Visualisation with R")
Book
Rahlf, T. (2019)
This book introduces readers to the fundamentals of creating presentation graphics using R, based on 111 detailed and complete scripts. It shows how bar and column charts, …
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Hardcover
eBook
![Applied Multivariate Statistical Analysis]( "Applied Multivariate Statistical Analysis")
Textbook
Härdle, W. K., Simar, L. (2019)
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 …
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eBook
Softcover
![Network Science]( "Network Science")
Book
Biagini, F. (Ed), Kauermann, G. (Ed), Meyer-Brandis, T. (Ed) (2019)
This book provides an overview of network science from the perspective of diverse academic fields, offering insights into the various research areas within network science. The …
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eBook
Hardcover
![Bayesian Statistics and New Generations]( "Bayesian Statistics and New Generations")
Book
Argiento, R. (Ed), Durante, D. (Ed), Wade, S. (Ed) (2019)
This book presents a selection of peer-reviewed contributions to the fourth Bayesian Young Statisticians Meeting, BAYSM 2018, held at the University of Warwick on 2-3 July 2018. …
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Hardcover
eBook
![Linear Time Series with MATLAB and OCTAVE]( "Linear Time Series with MATLAB and OCTAVE")
Textbook
Gómez, V. (2019)
This book presents an introduction to linear univariate and multivariate time series analysis, providing brief theoretical insights into each topic, and from the beginning …
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eBook
Hardcover
![Stochastic Models, Statistics and Their Applications]( "Stochastic Models, Statistics and Their Applications")
Book
Steland, A. (Ed), Rafajłowicz, E. (Ed), Okhrin, O. (Ed) (2019)
This volume presents selected and peer-reviewed contributions from the 14th Workshop on Stochastic Models, Statistics and Their Applications, held in Dresden, Germany, on March …
Available Formats:
Hardcover
eBook
![Pairwise Multiple Comparisons]( "Pairwise Multiple Comparisons")
Book
Shiraishi, T., Sugiura, H., Matsuda, S. (2019)
This book focuses on all-pairwise multiple comparisons of means in multi-sample models, introducing closed testing procedures based on maximum absolute values of some two-sample …
Available Formats:
Softcover
eBook
![Applications in Statistical Computing]( "Applications in Statistical Computing")
Book
Bauer, N. (Ed), Ickstadt, K. (Ed), Lübke, K. (Ed), Szepannek, G. (Ed), Trautmann, H. (Ed), Vichi, M. (Ed) (2019)
This volume presents a selection of research papers on various topics at the interface of statistics and computer science. Emphasis is put on the practical applications of …
Available Formats:
Softcover
eBook
![Euclidean Design Theory]( "Euclidean Design Theory")
Book
Sawa, M., Hirao, M., Kageyama, S. (2019)
This book is the modern first treatment of experimental designs, providing a comprehensive introduction to the interrelationship between the theory of optimal designs and the …
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eBook
Softcover
![An Introduction to Algebraic Statistics with Tensors]( "An Introduction to Algebraic Statistics with Tensors")
Textbook
Bocci, C., Chiantini, L. (2019)
This book provides an introduction to various aspects of Algebraic Statistics with the principal aim of supporting Master’s and PhD students who wish to explore the algebraic …
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Softcover
eBook
![Statistical Learning of Complex Data]( "Statistical Learning of Complex Data")
Book
Greselin, F. (Ed), Deldossi, L. (Ed), Bagnato, L. (Ed), Vichi, M. (Ed) (2019)
This book of peer-reviewed contributions presents the latest findings in classification, statistical learning, data analysis and related areas, including supervised and …
Available Formats:
Softcover
eBook
![Capture-Recapture: Parameter Estimation for Open Animal Populations]( "Capture-Recapture: Parameter Estimation for Open Animal Populations")
Book
Seber, G. A. F., Schofield, M. R. (2019)
This comprehensive book, rich with applications, offers a quantitative framework for the analysis of the various capture-recapture models for open animal populations, while also …
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eBook
Hardcover
![New Statistical Developments in Data Science]( "New Statistical Developments in Data Science")
Book
Petrucci, A. (Ed), Racioppi, F. (Ed), Verde, R. (Ed) (2019)
This volume collects the extended versions of papers presented at the SIS Conference “Statistics and Data Science: new challenges, new generations”, held in Florence, Italy on …
Available Formats:
Hardcover
eBook
![A Primer of Permutation Statistical Methods]( "A Primer of Permutation Statistical Methods")
Textbook
Berry, K. J., Johnston, J. E., Mielke, Jr., P. W. (2019)
The primary purpose of this textbook is to introduce the reader to a wide variety of elementary permutation statistical methods. Permutation methods are optimal for small data …
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eBook
Hardcover
![Matrices, Statistics and Big Data]( "Matrices, Statistics and Big Data")
Book
Ahmed, S. E. (Ed), Carvalho, F. (Ed), Puntanen, S. (Ed) (2019)
This volume features selected, refereed papers on various aspects of statistics, matrix theory and its applications to statistics, as well as related numerical linear algebra …
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eBook
Hardcover
![A Graduate Course on Statistical Inference]( "A Graduate Course on Statistical Inference")
Textbook
Li, B., Babu, G. J. (2019)
This textbook offers an accessible and comprehensive overview of statistical estimation and inference that reflects current trends in statistical research. It draws from three …
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Hardcover
eBook