Product Description: This book presents a comprehensive study of multivariate time series with linear state space structure. The emphasis is put on both the clarity of the theoretical concepts and on efficient algorithms for implementing the theory.  In particular, it investigates the relationship between VARMA and state space models, including canonical forms...read more

Product Description: This textbook provides an introduction to the free software Python and its use for statistical data analysis. It covers common statistical tests for continuous, discrete and categorical data, as well as linear regression analysis and topics from survival analysis and Bayesian statistics...read more

Product Description: IBM SPSS Statistics 23 Step by Step: A Simple Guide and Reference, 14e, takes a straightforward, step-by-step approach that makes SPSS software clear to beginners and experienced researchers alike. Extensive use of vivid, four-color screen shots, clear writing, and step-by-step boxes guide readers through the program...read more

Product Description: SAS users in the Health and Life Sciences industry need to create complex graphs to analyze biostatistics data and clinical data, and they need to submit drugs for approval to the FDA. Graphs used in the HLS industry are complex in nature and require innovative usage of the graphics features...read more

Product Description: This comprehensive and stimulating introduction to Matlab, a computer language now widely used for technical computing, is based on an introductory course held at Qian Weichang College, Shanghai University, in the fall of 2014. Teaching and learning a substantial programming language aren’t always straightforward tasks...read more

Die kompakte Einführung in die praktische Datenauswertung mit der freien Statistikumgebung R. Das Buch gibt einen Überblick über die Arbeit mit R mit dem Ziel, einen schnellen Einstieg in die grafische und deskriptive Datenauswertung sowie in die Umsetzung der wichtigsten statistischen Tests zu ermöglichen. Neben den klassischen univariaten Verfahren berücksichtigt es auch nonparametrische und multivariate Methoden. Zudem deckt es die vielfältigen Möglichkeiten ab, Diagramme zu erstellen, Daten mit anderen Programmen auszutauschen und R durch Zusatzpakete zu erweitern. Die statistischen Verfahren werden an Beispielen erläutert und an vielen Stellen mit Diagrammen illustriert. Das Buch richtet sich an alle, die R kennenlernen und in konkreten Aufgabenstellungen einsetzen möchten, ohne bereits über Vorerfahrungen mit befehlsgesteuerten Programmen oder Programmiersprachen zu verfügen.​

Product Description: This book reviews the theoretical concepts, leading-edge techniques and practical tools involved in the latest multi-disciplinary approaches addressing the challenges of big data. Illuminating perspectives from both academia and industry are presented by an international selection of experts in big data science...read more

Product Description: This text presents a wide-ranging and rigorous overview of nearest neighbor methods, one of the most important paradigms in machine learning. Now in one self-contained volume, this book systematically covers key statistical, probabilistic, combinatorial and geometric ideas for understanding, analyzing and developing nearest neighbor methods...read more