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

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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Statistics for Innovation IV

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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Methodological and Applied Statistics and Demography IV

This book of peer-reviewed short papers on methodological and applied statistics and demography is the fourth of four volumes from the 52nd Scientific Meeting of the Italian Statistical Society (SIS 2024)…

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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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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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Time Series Analysis and Forecasting

This volume on the latest developments in the theory and applications of time series analysis and forecasting comprises a selection of refereed papers presented at the 9th International Conference on Time…

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Mike Nguyen
Foundations of Data Analysis

1 Introduction.- 2 Prerequisites.- 3 Descriptive Statistics.- 4 Basic Statistical Inference.

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Inverse Problems: Modelling and Simulation

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

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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Alain Franc
Linear Dimensionality Reduction

Introduction.- 2. Principal Component Analysis (PCA).- 3. Complements on PCA.- 4. PCA with Metrics on Rows and Columns.- 5. Correspondence Analysis.- 6. PCA with Instrumental Variables.- 7. Canonical Corr…

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Bjørn Riis

A Storm Is Coming

Bereit für die wirklich tiefgehenden Momente? Bjørn Riis schenkt der Welt mit seinem dritten Soloalbum A Storm Is Coming ein Stück Musik, mit dem er bei den Berufsmelancholikern offene Türen einrennen dür…

Margo Anderson, William Seltzer
Use and Misuse of the United States Census

The U.S. government conducts a population census every 10 years, adds up the counts by geographic location, and uses the resulting numbers in formulas to allocate seats in the House of Representative and …

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Ilija Barukcic
Theoriae causalitatis principia mathematica

Dive into a treasure trove of knowledge with over 1,332 equations, 34 detailed figures, and 81 comprehensive tables. Perfect for students, researchers, and enthusiasts seeking clarity and precision. This …

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Wilfredo Urbina-Romero, Ricardo Rios
An Introduction to the Modern Martingale Theory and Applications

Chapter 1: Introduction.- Chapter 2: Probability and Conditional Expectation.- Chapter 3: Advanced Topics in Martingale Theory.- Chapter 4: Burkholder's inequalities and Davis'sinequality.- Chapter 5: App…

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Stochastic Geophysical Fluid Dynamics

This book is based on an Oberwolfach Seminar, and it intends to give an introduction and an overview to several directions of the recent research on stochastic geophysical fluid dynamics and to discuss di…

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Daniel Sorensen
Statistical Learning in Genetics

Overview.- Part I: Fitting Likelihood and Bayesian Models.- 2. Likelihood.- 3. Computing the Likelihood.- 4. Bayesian Methods.- 5. McMC in Practice.- Part II: Prediction.- 6. Fundamentals of Prediction.- …

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Mathematical Modeling in Physical Sciences

This volume gathers selected papers presented at the ICMSQUARE 2023 - 12th International Conference on Mathematical Modeling in Physical Sciences held in Belgrade, Serbia from August 28-31, 2023. This pro…

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Tsung-Wu Ho
Time Series Forecasting using Machine Learning

Preface.- Chapter 1 Time Series Basics in R.- Chapter 2 Predictive Time Series Modelling.- Chapter 3 Forecasting using Machine Learning Methods.- Chapter 4 Special Topics.- Chapter 5 Predictive Case Studi…

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Umberto Michelucci
Statistics for Scientists

This book offers researchers and practitioners a concise and accessible guide to the essential concepts in statistics, emphasizing their proper application. It encourages readers to delve deeper into the …

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