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