![Methods and Applications of Sample Size Calculation and Recalculation in Clinical Trials]( "Methods and Applications of Sample Size Calculation and Recalculation in Clinical Trials")
Book
Kieser, M. (2020)
This book provides an extensive overview of the principles and methods of sample size calculation and recalculation in clinical trials. Appropriate calculation of the required …
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Hardcover
eBook
![A First Course in Linear Models and Design of Experiments]( "A First Course in Linear Models and Design of Experiments")
Textbook
Madhyastha, N. R. M., Ravi, S., Praveena, A. S. (2020)
This textbook presents the basic concepts of linear models, design and analysis of experiments. With the rigorous treatment of topics and provision of detailed proofs, this book …
Available Formats:
Hardcover
eBook
![Nonparametric Statistics]( "Nonparametric Statistics")
Book
La Rocca, M. (Ed), Liseo, B. (Ed), Salmaso, L. (Ed) (2020)
Highlighting the latest advances in nonparametric and semiparametric statistics, this book gathers selected peer-reviewed contributions presented at the 4th Conference of the …
Available Formats:
Hardcover
eBook
![Electroweak Physics at the Large Hadron Collider with the ATLAS Detector]( "Electroweak Physics at the Large Hadron Collider with the ATLAS Detector")
Book
Resseguie, E. (2020)
This thesis discusses searches for electroweakly produced supersymmetric partners of the gauge and the Higgs bosons (gauginos and higgsinos) decaying to multiple leptons, using pp …
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eBook
Hardcover
![Linear Model Theory]( "Linear Model Theory")
Textbook
Zimmerman, D. L. (2020)
This textbook presents a unified and rigorous approach to best linear unbiased estimation and prediction of parameters and random quantities in linear models, as well as other …
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Hardcover
eBook
![Linear Model Theory]( "Linear Model Theory")
Textbook
Zimmerman, D. L. (2020)
This book contains 296 exercises and solutions covering a wide variety of topics in linear model theory, including generalized inverses, estimability, best linear unbiased …
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Hardcover
eBook
![Python for Marketing Research and Analytics]( "Python for Marketing Research and Analytics")
Book
Schwarz, J. S., Chapman, C., Feit, E. M. (2020)
This book provides an introduction to quantitative marketing with Python. The book presents a hands-on approach to using Python for real marketing questions, organized by key …
Available Formats:
Hardcover
eBook
![Regression Models for the Comparison of Measurement Methods]( "Regression Models for the Comparison of Measurement Methods")
Book
Bolfarine, H., de Castro, M., Galea, M. (2020)
This book provides an updated account of the regression techniques employed in comparing analytical methods and to test the biases of one method relative to others – a problem …
Available Formats:
Softcover
eBook
![The Chief Data Officer Management Handbook]( "The Chief Data Officer Management Handbook")
Book
Treder, M. (2020)
There is no denying that the 21st century is data driven, with many digital industries relying on careful collection and analysis of mass volumes of information. A Chief Data …
Available Formats:
Softcover
eBook
![An Introduction to Sequential Monte Carlo]( "An Introduction to Sequential Monte Carlo")
Textbook
Chopin, N., Papaspiliopoulos, O. (2020)
This book provides a general introduction to Sequential Monte Carlo (SMC) methods, also known as particle filters. These methods have become a staple for the sequential analysis …
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Hardcover
eBook
![Primer for Data Analytics and Graduate Study in Statistics]( "Primer for Data Analytics and Graduate Study in Statistics")
Textbook
Wolfe, D., Schneider, G. (2020)
This book is specially designed to refresh and elevate the level of understanding of the foundational background in probability and distributional theory required to be successful …
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Hardcover
eBook
![Advanced Studies in Classification and Data Science]( "Advanced Studies in Classification and Data Science")
Book
Imaizumi, T. (Ed), Okada, A. (Ed), Miyamoto, S. (Ed), Sakaori, F. (Ed), Yamamoto, Y. (Ed), Vichi, M. (Ed) (2020)
This edited volume focuses on the latest developments in classification and data science and covers a wide range of topics in the context of data analysis and related areas, e.g. …
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Softcover
eBook
![Spatial Relationships Between Two Georeferenced Variables]( "Spatial Relationships Between Two Georeferenced Variables")
Book
Vallejos, R., Osorio, F., Bevilacqua, M. (2020)
This book offers essential, systematic information on the assessment of the spatial association between two processes from a statistical standpoint. Divided into eight chapters, …
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Hardcover
eBook
![Recent Developments in Multivariate and Random Matrix Analysis]( "Recent Developments in Multivariate and Random Matrix Analysis")
Book
Holgersson, T. (Ed), Singull, M. (Ed) (2020)
This volume is a tribute to Professor Dietrich von Rosen on the occasion of his 65th birthday. It contains a collection of twenty original papers. The contents of the papers …
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Hardcover
eBook
![Fundamentals of Data Analytics]( "Fundamentals of Data Analytics")
Textbook
Mathar, R., Alirezaei, G., Balda, E., Behboodi, A. (2020)
This book introduces the basic methodologies for successful data analytics. Matrix optimization and approximation are explained in detail and extensively applied to dimensionality …
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Hardcover
eBook
![Random Forests with R]( "Random Forests with R")
Book
Genuer, R., Poggi, J. (2020)
This book offers an application-oriented guide to random forests: a statistical learning method extensively used in many fields of application, thanks to its excellent predictive …
Available Formats:
Book with w. online files/update
eBook
![An Introduction to Clustering with R]( "An Introduction to Clustering with R")
Book
Giordani, P., Ferraro, M. B., Martella, F. (2020)
The purpose of this book is to thoroughly prepare the reader for applied research in clustering. Cluster analysis comprises a class of statistical techniques for classifying …
Available Formats:
Hardcover
eBook
![Statistical Signal Processing]( "Statistical Signal Processing")
Book
Nandi, S., Kundu, D. (2020)
This book introduces readers to various signal processing models that have been used in analyzing periodic data, and discusses the statistical and computational methods involved. …
Available Formats:
Hardcover
eBook
![Person-Centered Methods]( "Person-Centered Methods")
Book
Stemmler, M. (2020)
This book offers a comprehensible overview of the statistical approach called the person-centered method. Instead of analyzing means, variances and covariances of scale scores as …
Available Formats:
Softcover
eBook
![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 …
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Hardcover
eBook
Softcover