wired - Statistics 6

Marcus Hellwig zeigt, dass die Equibalancedistribution, deren Dichte nachweislich bei 1 liegt, über einen dritten Parameter verfügt, der links- oder rechtsschiefe Varianzen berücksichtigt. Die neue ……続きを見る

Master machine learning with Python in six steps and explore fundamental to advanced topics, all designed to make you a worthy practitioner. This book’s approach is based on the “Six degrees of sepa……続きを見る

Providing an introduction to stochastic optimal control in infinite dimension, this book gives a complete account of the theory of second-order HJB equations in infinite-dimensional Hilbert spaces, fo……続きを見る

Data Presentation with SPSS Explained provides students with all the information they need to conduct small scale analysis of research projects using SPSS and present their results appropriately in ……続きを見る

This book features a collection of revised and significantly extended versions of the papers accepted for presentation at the 5th International Workshop on New Frontiers in Mining Complex Patterns, ……続きを見る

Das Buch enthält Fallstudien zur deskriptiven und induktiven Statistik, welche auf die Bachelor-Ausbildung in der Betriebswirtschaft ausgerichtet sind. Für die fachlichen Grundlagen wird auf eine pr……続きを見る

Since their introduction, hierarchical generalized linear models (HGLMs) have proven useful in various fields by allowing random effects in regression models. Interest in the topic has grown, and va……続きを見る

This Springer Brief provides theory, practical guidance, and support tools to help designers create complex, valid assessment tasks for hard-to-measure, yet crucial, science education standards. Und……続きを見る

Andreas Gadatsch schließt mit dem vorliegenden essential eine Lücke in einführenden Werken zur Datenmodellierung. Diese Modelle gehören zum Basiswissen einführender Lehrveranstaltungen zur Wirtschaf……続きを見る

The Essentials of Data Science: Knowledge Discovery Using R presents the concepts of data science through a hands-on approach using free and open source software. It systematically drives an accessi……続きを見る

Requiring no prior training, Modern Statistics for the Social and Behavioral Sciences provides a two-semester, graduate-level introduction to basic statistical techniques that takes into account rec……続きを見る

This book constitutes the refereed joint proceedings of the International Workshop on Bio-Imaging and Visualization for Patient-Customized Simulations, BIVPCS 2017, and the International Workshop on……続きを見る

Repeated Measures Design with Generalized Linear Mixed Models for Randomized Controlled Trials is the first book focused on the application of generalized linear mixed models and its related models ……続きを見る

This book introduces readers to the basic concepts of Heart Rate Variability (HRV) and its most important analysis algorithms using a hands-on approach based on the open-source RHRV software. HRV re……続きを見る

The two-volume set LNCS 10569 and LNCS 10570 constitutes the proceedings of the 18th International Conference on Web Information Systems Engineering, WISE 2017, held in Puschino, Russia, in October ……続きを見る

The two-volume set LNCS 10569 and LNCS 10570 constitutes the proceedings of the 18th International Conference on Web Information Systems Engineering, WISE 2017, held in Puschino, Russia, in October ……続きを見る

Dieses essential befasst sich mit der einfachen linearen Regression, der simpelsten Form von Regressionsmodellen, in der für die Modellbildung nur eine einzige Einflussvariable berücksichtigt wird. ……続きを見る

Dieses Buch bietet eine Einführung in die komplexe Welt digitaler Plattformen, ihr Wesen wird verständlich vermittelt und an Praxisbeispielen aufgezeigt. Damit beleuchtet der Autor ein charakterisie……続きを見る

This book will provide a comprehensive overview on human action analysis with randomized trees. It will cover both the supervised random trees and the unsupervised random trees. When there are suffi……続きを見る

Harald Nahrstedt zeigt hier den pragmatisch technischen und weniger den wissenschaftlichen Ansatz, wie Excel mit seinen Programmiermöglichkeiten sich immer mehr zu einem universellen Arbeitsmittel e……続きを見る

Machine learning is concerned with the analysis of large data and multiple variables. It is also often more sensitive than traditional statistical methods to analyze small data. The first and second……続きを見る

Unique features of the book involve the following. 1.This book is the third volume of a three volume series of cookbooks entitled "Machine Learning in Medicine - Cookbooks One, Two, and Three". No o……続きを見る

Quality Management in Reverse Logistics intends to develop, collect, examine and evaluate a number of quality management (QM) tools and techniques, which can be applied in practice in order to under……続きを見る

This monograph introduces methods for handling filtering and control problems in nonlinear stochastic systems arising from network-induced phenomena consequent on limited communication capacity. Suc……続きを見る

Diese kompakte Einführung enthält die wichtigsten Grundlagen der mathematischen Statistik, die Beschreibung von Messungen und deren Fehler als Ergebnisse von Stichproben und die Methode der kleinste……続きを見る

Presenting an analysis of different approaches for predicting the service life of buildings, this monograph discusses various statistical tools and mathematical models, some of which have rarely bee……続きを見る

Survival Analysis with Interval-Censored Data: A Practical Approach with Examples in R, SAS, and BUGS provides the reader with a practical introduction into the analysis of interval-censored surviva……続きを見る

This book provides practical applications of doubly classified models by using R syntax to generate the models. It also presents these models in symbolic tables so as to cater to those who are not m……続きを見る

Das essential führt in Big Data ein und erläutert die wichtigsten Werkzeuge zur Nutzung von SQL- wie NoSQL-Technologien. Neben semantischer Datenmodellierung, Abfragesprachen, Konsistenzgewährung mi……続きを見る

Deploy deep learning solutions in production with ease using TensorFlow. You'll also develop the mathematical understanding and intuition required to invent new deep learning architectures and solut……続きを見る