Book
Yanagihara, H. (2021)
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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Book
Kamatani, K. (2021)
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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Book
Abdi, H., Beaton, D. (2021)
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
Book
Jones, K. A., Ravishankar, S. (2021)
This book chronicles a 10-year introduction of blended learning into the delivery at a leading technological university, with a longstanding tradition of technology-enabled …
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Trabs, M., Jirak, M., Krenz, K., Reiß, M. (2021)
Dieses Lehrbuch liefert einen Einstieg in die mathematische Statistik und baut systematisch eine Brücke zum maschinellen Lernen. Dabei werden sowohl klassische und bis heute …
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Bura, E. (Ed), Li, B. (Ed) (2021)
In honor of professor and renowned statistician R. Dennis Cook, this festschrift explores his influential contributions to an array of statistical disciplines ranging from …
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Deshmukh, S., Kulkarni, M. (2021)
The book presents the fundamental concepts from asymptotic statistical inference theory, elaborating on some basic large sample optimality properties of estimators and some test …
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Wooditch, A., Johnson, N. J., Solymosi, R., Medina Ariza, J., Langton, S. (2021)
This book provides hands-on guidance for researchers and practitioners in criminal justice and criminology to perform statistical analyses and data visualization in the free and …
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Pagonis, V. (2021)
This book covers applications of R to the general discipline of radiation dosimetry and to the specific areas of luminescence dosimetry, luminescence dating, and radiation …
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Wendler, T., Gröttrup, S. (2021)
Now in its second edition, this textbook introduces readers to the IBM SPSS Modeler and guides them through data mining processes and relevant statistical methods. Focusing on …
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Kronthaler, F. (2021)
Dieses Buch zeigt Ihnen, wie Sie mit Excel beinahe mühelos Informationen aus Daten gewinnen und Datensätze systematisch analysieren können. Beides ist (k)eine Kunst! Die …
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Kronthaler, F., Zöllner, S. (2021)
The objective of this text is to introduce RStudio to practitioners and students and enable them to use R in their everyday work. It is not a statistical textbook, the purpose is …
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Cao, X. (2021)
This Springer brief addresses the challenges encountered in the study of the optimization of time-nonhomogeneous Markov chains. It develops new insights and new methodologies for …
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Piunovskiy, A., Zhang, Y. (2020)
This book offers a systematic and rigorous treatment of continuous-time Markov decision processes, covering both theory and possible applications to queueing systems, …
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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 …
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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 …
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Wollschläger, D. (2020)
Dieses Buch liefert eine anwendungsorientierte Einführung in die Datenauswertung mit der freien Statistikumgebung R. Es behandelt deskriptive Auswertungen ebenso umfassend wie …
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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 …
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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. …
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Salvan, A., Sartori, N., Pace, L. (2020)
Il volume fornisce un'introduzione a teoria e applicazioni dei modelli lineari generalizzati. Si presentano modelli di regressione per risposte continue, binarie, categoriali e …
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