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