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Likelihood Ratio Tests and Related Topics in Multivariate Analysis

This book of selected works exhibits a significant part of Carlos A. Coelho's research activity in multivariate statistics, focusing on topics related to likelihood ratio tests. After two introductory cha…

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The FEniCS Project

Simula SpringerBriefs on Computing - Band 19

This open access book provides the reader with a snapshot of the cutting-edge research being undertaken by the members of the FEniCS community, as presented at the FEniCS Conference at Simula Research Lab…

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Statistics for Innovation IV

Italian Statistical Society Series on Advances in Statistics

This book presents peer-reviewed short papers on methodological and applied statistical research presented at the Italian Statistical Society's international conference on "Statistics for Innovation&…

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Alain Franc
Linear Dimensionality Reduction

Lecture Notes in Statistics - Band 228

This book provides an overview of some classical linear methods in Multivariate Data Analysis. This is an old domain, well established since the 1960s, and refreshed timely as a key step in statistical le…

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Applications of Computational Intelligence in Management and Mathematics I

This volume encapsulates the collective knowledge shared and innovations presented at the 9th International Conference on Computers, Management & Mathematical Sciences (ICCM) 2023 held on the 24th and…

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Data Science, Classification, and Artificial Intelligence for Modeling Decision Making

Studies in Classification, Data Analysis, and Knowledge Organization

This book gathers selected and peer-reviewed contributions presented at the 18th Conference of the International Federation of Classification Societies (IFCS 2024), held in San José, Costa Rica, July 15--…

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Inverse Problems: Modelling and Simulation

Trends in Mathematics - Band 11

This volume presents the latest theoretical and experimental advancements in the field of inverse problems in recent years. It includes outstanding research results that reflect current theoretical and nu…

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Mike Nguyen
Advanced Modeling and Data Challenges

This volume addresses the complexities of real-world data analysis, offering clear guidance through common challenges such as missing data, model specification, variable selection, and hypothesis testing.…

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Dany Cajas
Advanced Portfolio Optimization

This book is an innovative and comprehensive guide that provides readers with the knowledge about the latest trends, models and algorithms used to build investment portfolios and the practical skills nece…

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Jos W. R. Twisk
Basic Principles of Applied Medical Statistics

This book describes the basic principles of medical statistics. Although there are many texts on this topic, this one is different in that it limits the mathematics to an absolute minimum. It will therefo…

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Spectral and High-Order Methods for Partial Differential Equations ICOSAHOM 2023

The book consists of contributions by plenary speakers and other speakers at the ICOSAHOM 2023 which was held at Yonsei University, Korea during Aug 14-18, 2023 . The subjects of the book focus on recent …

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Mike Nguyen
Foundations of Data Analysis

This volume is designed not only as a foundation for mastering modern data analysis but also as a trusted companion for revision and review. Whether you're encountering these ideas for the first time or r…

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Gernot Wassmer, Werner Brannath
Group Sequential and Confirmatory Adaptive Designs in Clinical Trials

Springer Series in Pharmaceutical Statistics

This book provides an up-to-date review of the general principles and techniques of confirmatory adaptive designs, a generalization of group sequential designs. With these designs, interim analyses are pe…

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Statistics for Innovation I

Italian Statistical Society Series on Advances in Statistics

This book presents peer-reviewed short papers on methodological and applied statistical research presented at the Italian Statistical Society's international conference on "Statistics for Innovation&…

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Digital Public Health

Springer Series on Epidemiology and Public Health

Part I: Introduction.- Why is it essential to address digital public health in an interdisciplinary way?.- Part II: Theoretical approaches.- Public health in the digital era---digital entry points for pop…

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Yannik Venohr
Deep Learning in Personalized Music Emotion Recognition

BestMasters

Music has a unique power to evoke strong emotions in us-bringing us to tears, lifting us into ecstasy or triggering vivid memories. Often described as a universal language, it conveys feelings that transc…

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Narayanaswamy Balakrishnan, Tomasz Rychlik
Sharp Inequalities for Ordered Random Variables in Statistics and Reliability

Frontiers in Probability and the Statistical Sciences

The book discusses various inequalities and sharp bounds for the usual order statistics as well as some functions of them. In particular, deterministic bounds, bounds for the case of IID samples from gene…

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Jeffrey R. Wilson, Kent A. Lorenz, Lori P. Selby
Modeling Binary Correlated Responses

ICSA Book Series in Statistics

This book is an updated edition of Modeling Binary Correlated Responses Using SAS, SPSS and R, and now it includes the use of STATA. It uses these Statistical tools to analyze correlated binary data, acce…

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Potter C. Chang
Data Analysis of Medical Studies

This book is written for the many health professionals who are regularly frustrated by elegant but ambiguous descriptions of results of data analysis. It uses articles of the New England Journal of Medici…

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Bayesian Network Modeling of Corrosion

This book represents a compilation of experience from a slate of experts involved in developing and deploying Bayesian Networks (BN) for corrosion management. The contributors describe how probability dis…

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