A fundamental issue in statistical analysis is testing the fit of a particular probability model to a set of observed data. ...
Lire la suiteThis book constitutes the refereed proceedings of the 9th International Conference on Passive and Active Measurement, PAM ...
Lire la suiteThis second edition places increased emphasis on the use of alternative permutation statistical tests based on metric Euclidean ...
Lire la suiteWhy simulation techniques? Simulation methods, designed for use in statistics and operations research, have experienced and ...
Lire la suiteThis book offers effective, low-cost and user-friendly protocols for the pre-field selection of salt-tolerant mutants in ...
Lire la suitethis diverse collection of topics gives a sampling of the very sophisticated and powerful methodologies utilized in the construction ...
Lire la suiteThey are dedicated to the field of and current researches in reinforcement learning.There was an air of excitement as substantial ...
Lire la suiteReliability-based Structural Design provides readers with an understanding of the fundamentals and applications of structural ...
Lire la suiteThis thoroughly revised and expanded third edition is a practical guide to data analysis using the bootstrap, cross-validation, ...
Lire la suiteEntrepreneurship is a phenomenon of tremendous societal importance. It is also an elusive phenomenon, which makes researching ...
Lire la suiteThis encyclopedic, self-contained, detailed exposition spans all the steps of one-period allocation from the basics to the ...
Lire la suiteOver the last few decades, important progresses in the methods of sampling have been achieved. This book draws up an inventory ...
Lire la suiteThis book contains 116 exercises of sampling methods solved in detail. The exercises are grouped into chapters and are preceded ...
Lire la suiteThe book presents the state-of-the-art of forest resources assessments and monitoring and provides links to practical applications ...
Lire la suiteThe book presents the statistical knowledge and methodology of sampling and data analysis useful for spatial inventory and ...
Lire la suiteMarkov decision process (MDP) models are widely used for modeling sequential decision-making problems that arise in engineering, ...
Lire la suiteAn outgrowth of the "International Conference on Statistical Models for Biomedical and Technical Systems," this book is ...
Lire la suiteSampling-based computational methods have become a fundamental part of the numerical toolset of practitioners and researchers ...
Lire la suiteStudying Human Populations is a textbook for graduate students and research workers in social statistics and related subject ...
Lire la suiteStochastic processes are as usual the main subject of the Séminaire, with contributions on Brownian motion (fractional or ...
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