The prominence of finite mixture modelling is greater than ever. Many important statistical topics like clustering data, ...
WeiterlesenA main theme of the book outlines the role of the quantum potential in quantum mechanics and general relativity and one of ...
WeiterlesenThe overarching aim of this open access book is to present self-contained theory and algorithms for investigation and prediction ...
WeiterlesenThis book constitutes the refereed proceedings of the 6th International Conference on Formal Modeling and Analysis of Timed ...
WeiterlesenThe present book surveys the theoretical analysis put forth by Mott with particular focus on his efforts to characterize ...
WeiterlesenThis book maps a crucial but neglected chapter in the history of psychiatry: how was melancholia transformed in the nineteenth ...
WeiterlesenVolume 2 applies statistical methods to systems governed by quantum effects, in particular to solid state physics, explaining ...
WeiterlesenVolume 1 discusses in detail the probabilistic description of quantum or classical systems, the Boltzmann-Gibbs distributions, ...
WeiterlesenThe proportion of nonconforming meters in a lot has traditionally defined lot quality for utility meter sampling inspection ...
WeiterlesenThe proportion of nonconforming meters in a lot has traditionally defined lot quality for utility meter sampling inspection ...
WeiterlesenThe primary objective of the NATO Advanced Study Institute (ASI) titled “Functionalized Nanoscale Materials, Devices, and ...
WeiterlesenThis research monograph presents basic foundational aspects for a theory of statistics with fuzzy data, together with a set ...
WeiterlesenWith numerous examples and end-of-chapter problems, this book is essential reading for graduates and senior undergraduate ...
WeiterlesenThe topics discussed range from theoretical results of learning algorithms to innovative applications of grammatical inference ...
WeiterlesenGraphics are great for exploring data, but how can they be used for looking at the large datasets that are commonplace to-day? ...
WeiterlesenGraphics are great for exploring data, but how can they be used for looking at the large datasets that are commonplace to-day? ...
WeiterlesenMultilevel analysis is the statistical analysis of hierarchically and non-hierarchically nested data. The simplest example ...
WeiterlesenThis book aims to present a comprehensive, self-contained, and concise overview of extreme value theory for time series, ...
WeiterlesenHeterogeneity, or mixtures, are ubiquitous in genetics. Even for data as simple as mono-genic diseases, populations are a ...
WeiterlesenThis book constitutes the refereed proceedings of the 5th International Workshop on Hybrid Metaheuristics, HM 2008, held ...
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