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This book collects peer-reviewed contributions on modern statistical methods and topics, stemming from the third workshop on Analytical Methods in Statistics, AMISTAT 2019, held in Liberec, Czech Republic, on September 16-19, 2019.
This book introduces the basic methodologies for successful data analytics. The methodological overlap between data science and machine learning is emphasized by demonstrating how data science is used for classification as well as supervised and unsupervised learning.
This book discusses quantum theory as the theory of random (Brownian) motion of small particles (electrons etc.) under external forces.
It begins with linear and nonlinear regression for normally distributed data, logistic regression for binomially distributed data, and Poisson regression and negative-binomial regression for count data.
This contributed book focuses on major aspects of statistical quality control, shares insights into important new developments in the field, and adapts established statistical quality control methods for use in e.g.
The main focus of this book is on presenting advances in fuzzy statistics, and on proposing a... Læs mere
This book presents a general method for deriving higher-order statistics of multivariate distributions with simple algorithms that allow for... Læs mere