Industrial Competitiveness
The objectives of industrial management are: - Implementation of the policy adopted by the owners or the board of directors ...
Lee mas
Inference in Hidden Markov Models
This book is a comprehensive treatment of inference for hidden Markov models, including both algorithms and statistical theory. ...
Lee mas
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 ...
Lee mas
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 ...
Lee mas
Interest Rate Models: an Infinite Dimensional Stochastic Analysis Perspective
Interest Rate Models: an Infinite Dimensional Stochastic Analysis Perspective studies the mathematical issues that arise ...
Lee mas
Interest Rate Models: an Infinite Dimensional Stochastic Analysis Perspective
Interest Rate Models: an Infinite Dimensional Stochastic Analysis Perspective studies the mathematical issues that arise ...
Lee mas
Introduction to Empirical Processes and Semiparametric Inference
This book provides a self-contained, linear, and unified introduction to empirical processes and semiparametric inference. ...
Lee mas
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 ...
Lee mas
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 ...
Lee mas
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 ...
Lee mas
Knowledge Discovery from XML Documents
The KDXD 2006 (Knowledge Discovery from XML Documents) workshop is the ?rst international workshop running this year in conjunction ...
Lee mas
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 ...
Lee mas
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 ...
Lee mas
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 ...
Lee mas
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 ...
Lee mas
Long Memory in Economics
When applying the statistical theory of long range dependent (LRD) processes to economics, the strong complexity of macroeconomic ...
Lee mas
Machine Learning : The Basics / Alexander Jung
Approaches ML as the computational implementation of the scientific principle. This principle consists of continuously adapting ...
Lee mas
Machine Learning: ECML 2005
The European Conference on Machine Learning (ECML) and the European Conference on Principles and Practice of Knowledge Discovery ...
Lee mas
Mathematical Formulas for Economists
The present collection of formulas has been composed for students of economics or management science at universities, colleges ...
Lee mas
Mathematical Formulas for Economists
This collection of formulas constitutes a compendium of mathematics for eco nomics and business. It contains the most important ...
Lee mas
