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  • ANOVA with Dependent Errors

    Series series Mathematics and Statistics (R0)
    This book presents the latest results related to one- and two-way models for time series data. Analysis of variance (ANOVA) is a classical statistical method for IID data proposed by R.A. Fisher to investigate factors and interactions of phenomena. In contrast, the methods developed in this book apply to time series data. Testing theory of the homogeneity of groups is presented under a wide ... Leer más

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    Learning Dynamic Models from Data

    Series series Engineering (R0)
    This open access book provides a comprehensive treatment of recent developments in kernel-based identification that are of interest to anyone engaged in learning dynamic systems from data. The reader is led step by step into understanding of a novel paradigm that leverages the power of machine learning without losing sight of the system-theoretical principles of black-box identification. The ... Leer más

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  • The evolution of Soft Computing - From neural networks to cellular automata

    de Marco Casella ...
    This book provides a historic overview of what is defined as "soft computing" with its techniques: neural networks, fuzzy logic, genetic algorithms and cellular automata. ... Leer más

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  • Hidden Markov Models for Time Series

    An Introduction Using R, Second Edition

    Series series Chapman & Hall/CRC Monographs on Statistics and Applied Probability
    Hidden Markov Models for Time Series: An Introduction Using R, Second Edition illustrates the great flexibility of hidden Markov models (HMMs) as general-purpose models for time series data. The book provides a broad understanding of the models and their uses.After presenting the basic model formulation, the book covers estimation, forecasting, decoding, prediction, model selection, and Bayesian ... Leer más

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  • An Elementary Introduction to Statistical Learning Theory

    Series Libro 853 - Wiley Series in Probability and Statistics
    A thought-provoking look at statistical learning theory and its role in understanding human learning and inductive reasoningA joint endeavor from leading researchers in the fields of philosophy and electrical engineering, An Elementary Introduction to Statistical Learning Theory is a comprehensive and accessible primer on the rapidly evolving fields of statistical pattern recognition and ... Leer más

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  • Introduction to Functional Data Analysis

    Series series Chapman & Hall/CRC Texts in Statistical Science
    Introduction to Functional Data Analysis provides a concise textbook introduction to the field. It explains how to analyze functional data, both at exploratory and inferential levels. It also provides a systematic and accessible exposition of the methodology and the required mathematical framework.The book can be used as textbook for a semester-long course on FDA for advanced undergraduate or MS ... Leer más

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  • Statistical Inference Based on the likelihood

    Series series Chapman & Hall/CRC Monographs on Statistics and Applied Probability
    The Likelihood plays a key role in both introducing general notions of statistical theory, and in developing specific methods. This book introduces likelihood-based statistical theory and related methods from a classical viewpoint, and demonstrates how the main body of currently used statistical techniques can be generated from a few key concepts, in particular the likelihood. Focusing on those ... Leer más

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  • Some Basic Theory for Statistical Inference

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    de E.J.G. Pitman ...
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  • Advances on Theoretical and Methodological Aspects of Probability and Statistics

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    At the International Indian Statistical Association Conference, held at McMaster University in Ontario, Canada, participants focused on advancements in theory and methodology of probability and statistics. This is one of two volumes containing invited papers from the meeting. The 32 chapters deal with different topics of interest, including stochastic processes and inference, distributions and ... Leer más

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  • The Skew-Normal and Related Families

    Series Libro 3 - Institute of Mathematical Statistics Monographs
    Interest in the skew-normal and related families of distributions has grown enormously over recent years, as theory has advanced, challenges of data have grown, and computational tools have made substantial progress. This comprehensive treatment, blending theory and practice, will be the standard resource for statisticians and applied researchers. Assuming only basic knowledge of (non-measure ... Leer más

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  • A Course in Mathematical Statistics and Large Sample Theory

    Series series Mathematics and Statistics (R0)
    This graduate-level textbook is primarily aimed at graduate students of statistics, mathematics, science, and engineering who have had an undergraduate course in statistics, an upper division course in analysis, and some acquaintance with measure theoretic probability. It provides a rigorous presentation of the core of mathematical statistics.Part I of this book constitutes a one-semester course ... Leer más

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  • Stochastic Processes

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