Industrial Competitiveness
The objectives of industrial management are: - Implementation of the policy adopted by the owners or the board of directors ...
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Inference in Hidden Markov Models
This book is a comprehensive treatment of inference for hidden Markov models, including both algorithms and statistical theory. ...
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Information Criteria and Statistical Modeling
One of the main objectives of this book is to provide comprehensive explanations of the concepts and derivations of the AIC ...
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Information and Complexity in Statistical Modeling
The main theme in this book is to teach modeling based on the principle that the objective is to extract the information ...
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Interest Rate Models: an Infinite Dimensional Stochastic Analysis Perspective
Interest Rate Models: an Infinite Dimensional Stochastic Analysis Perspective studies the mathematical issues that arise ...
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Interest Rate Models: an Infinite Dimensional Stochastic Analysis Perspective
Interest Rate Models: an Infinite Dimensional Stochastic Analysis Perspective studies the mathematical issues that arise ...
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Introduction to Empirical Processes and Semiparametric Inference
This book provides a self-contained, linear, and unified introduction to empirical processes and semiparametric inference. ...
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Introduction to Engineering Statistics and Six Sigma
Introduction to Engineering Statistics and Six Sigma contains precise descriptions of all of the many related methods and ...
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Introduction to the Basic Concepts of Modern Physics : Special Relativity, Quantum and Statistical Physics
These notes are designed as a text book for a course on the Modern Physics Theory for undergraduate students. The purpose ...
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Kernel Methods for Machine Learning with Math and Python : 100 Exercises for Building Logic / Joe Suzuki
Addresses the fundamentals of kernel methods for machine learning by considering relevant math problems and building Python ...
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Knowledge Discovery from XML Documents
The KDXD 2006 (Knowledge Discovery from XML Documents) workshop is the ?rst international workshop running this year in conjunction ...
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Le raisonnement bayésien : Modélisation et inférence = Bayesian reasoning: Modeling and inference
This book describes in detail the practice of the Bayesian statistical approach using many examples chosen for their educational ...
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Leveraging Applications of Formal Methods, Verification and Validation: Verification Principles : 9th International Symposium on Leveraging Applications of Formal Methods, ISoLA 2020, Rhodes, Greece, October 20–30, 2020, Proceedings, Part I
The three-volume set LNCS 12476 - 12478 constitutes the refereed proceedings of the 9th International Symposium on Leveraging ...
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Linear and Generalized Linear Mixed Models and Their Applications
This book covers two major classes of mixed effects models—linear mixed models and generalized linear mixed models—and ...
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Linearization Methods for Stochastic Dynamic Systems
The aim of this book is to give a systematic introduction to and overview of the relatively simple and popular linearization ...
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Long Memory in Economics
When applying the statistical theory of long range dependent (LRD) processes to economics, the strong complexity of macroeconomic ...
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Machine Learning : The Basics / Alexander Jung
Approaches ML as the computational implementation of the scientific principle. This principle consists of continuously adapting ...
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Machine Learning: ECML 2005
The European Conference on Machine Learning (ECML) and the European Conference on Principles and Practice of Knowledge Discovery ...
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Mathematical Formulas for Economists
The present collection of formulas has been composed for students of economics or management science at universities, colleges ...
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Mathematical Formulas for Economists
This collection of formulas constitutes a compendium of mathematics for eco nomics and business. It contains the most important ...
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