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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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Statistical Models and Learning Methods for Complex Data

This book on statistical models and learning methods for complex data comprises a selection of peer-reviewed post-conference papers presented at the 14th Scientific Meeting of the Classification and Data …

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Stochastic Geometry: Percolation, Tesselations, Gaussian Fields and Point Processes

Lecture Notes in Mathematics - Band 2365

This volume covers a broad spectrum of topics in stochastic geometry, including percolation, tessellations, Gaussian fields and point processes. Based on lectures given at the Stochastic Geometry Days hel…

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Statistical Modelling for Evidence-Based Public Health

Emerging Topics in Statistics and Biostatistics

This book presents a selection of statistical techniques and methods applied to analyze data arising from HIV/AIDS epidemiology, as well as child and maternal health. Evidence-based decision-making in pub…

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Computing Technologies and Applied Mathematics

Springer Proceedings in Mathematics & Statistics - Band 500

This proceedings volume convenes revised, selected works presented at the 3rd International Seminar on Computing Technologies and Applied Mathematics (CTAM2024), held at Komsomolsk-na-Amure State Universi…

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Ronald W. Shonkwiler, Franklin Mendivil
Explorations in Monte Carlo Methods

Undergraduate Texts in Mathematics

Monte Carlo Methods are among the most used, and useful, computational tools available today. They provide efficient and practical algorithms to solve a wide range of scientific and engineering problems i…

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Mike Nguyen
Experimental Design

This volume provides a comprehensive introduction to the principles and practices of experimental design, a cornerstone of empirical research across disciplines. Covering foundational topics such as sampl…

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Ulrich Matter
An Introduction to Web Mining

Use R!

This book is devoted to the art and science of web mining --- showing how the world's largest information source can be turned into structured, research-ready data. Drawing on many years of teaching gradu…

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Gerhard Tutz
A Short Guide to Item Response Theory Models

Statistics for Social and Behavioral Sciences

This book presents foundational concepts, essential principles, and practical applications of Item Response Theory (IRT). It provides a structured survey of diverse models that have been put forth, emphas…

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Michael Griebel, Peter Oswald
Hilbert Space Splittings and Iterative Methods

Springer Series in Computational Mathematics - Band 62

This book is about the theory of so-called Schwarz methods for solving variational problems in a Hilbert space V arising from linear equations and their associated quadratic minimization problems. Schwarz…

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Nicolas Marie
From Nonparametric Regression to Statistical Inference for Non-Ergodic Diffusion Processes

Frontiers in Probability and the Statistical Sciences

This book is about copies-based nonparametric estimation of the drift function in stochastic differential equations (SDEs) driven by Brownian motion, a jump process, or fractional Brownian motion. While t…

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Raymond J. Spiteri, Kyle Klenk
Extreme-Scale Computing

CMS/CAIMS Books in Mathematics - Band 15

Scientific computing is essential for tackling complex problems across many domains---but how can scientists develop high-performance and high-quality software that scales efficiently? This book serves as…

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Mike Nguyen
Regression Techniques for Data Analysis

This volume explores regression analysis as the backbone of statistical modeling, offering readers a versatile and robust framework for analyzing relationships in data. From foundational linear models to …

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Unconventional Computation and Natural Computation

This book constitutes the proceedings of the 22nd International Conference on Unconventional Computation and Natural Computation, UCNC 2025, held in Nice, France, during September 1-5, 2025.The 24 full pa…

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George J. Knafl
Modeling Correlated Outcomes Using Extensions of Generalized Estimating Equations and Linear Mixed Modeling

This book formulates methods for modeling continuous and categorical correlated outcomes extending the commonly used methods: generalized estimating equations (GEE) and linear mixed modeling. Partially mo…

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Hans-Michael Kaltenbach
Statistical Design and Analysis of Biological Experiments

Statistics for Biology and Health

This richly illustrated book provides an overview of the design and analysis of experiments with a focus on non-clinical experiments in the life sciences, including animal research. It covers the most com…

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Ronald Christensen
Log-Linear Models and Logistic Regression

This book examines statistical models for frequency data. The primary focus is on log-linear models for contingency tables but also includes extensive discussion of logistic regression. Topics such as log…

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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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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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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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