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This book, fully updated for Python version 3.6+, covers the key ideas that link probability, statistics, and machine... Read More >>
Statistical learning theory answers these questions by deriving non-asymptotic bounds on the generalization error... Read More >>
This book focuses on the use of quantitative methods for both business and management, helping readers understand... Read More >>
It explains Brownian motion, random processes, measures, and Lebesgue integrals intuitively, but without sacrificing... Read More >>
This textbook will familiarize students in economics and business, as well as practitioners, with the basic principles,... Read More >>
This book presents strategies for analyzing qualitative and mixed methods data with MAXQDA software, and provides... Read More >>
Der Band bietet eine umfassende Einführung in die Wahrscheinlichkeitstheorie und ihre maßtheoretischen Grundlagen.... Read More >>
This book proposes, for the first time, a basic formulation for structural control that takes into account the stochastic... Read More >>
This book is a strenuous critique of the misinterpretation of statistical knowledge of populations in mainstream... Read More >>
Stemming from the IHP trimester ""Stochastic Dynamics Out of Equilibrium"", this collection of contributions focuses... Read More >>
This volume collects papers, based on invited talks given at the IMA workshop in Modeling, Stochastic Control, Optimization,... Read More >>
This book introduces a number of new sampling plans, such as time truncated life tests, skip sampling plans, resubmitted... Read More >>
This book discusses the need to carefully and prudently apply various regression techniques in order to obtain the... Read More >>
This volume features selected, refereed papers on various aspects of statistics, matrix theory and its applications... Read More >>
The primary purpose of this textbook is to introduce the reader to a wide variety of elementary permutation statistical... Read More >>