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Siri Chongchitnan
Exploring University Mathematics with Python

This book provides a unique tour of university mathematics with the help of Python. Written in the spirit of mathematical exploration and investigation, the book enables students to utilise Python to enri…

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New Frontiers in Statistics and Data Science

Springer Proceedings in Mathematics & Statistics - Band 469

This volume showcases a collection of thirty-two peer-reviewed articles presented at the XXVI Congress of the Portuguese Statistical Society (2023). It covers a wide range of cutting-edge topics in both t…

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Alan Garfinkel, Yina Guo
Understanding Data

This text introduces statistics to beginning students in a distinctly original and non-traditional way. It assumes minimal mathematical or statistical background, yet offers substantial depth that will al…

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Guy Latouche
Markov-Modulated Brownian Motion

Springer Series in Operations Research and Financial Engineering

This book explores regime-switching Brownian motion, a class of stochastic processes widely used in fields such as mathematical finance, risk theory, queueing theory, and epidemiological modeling. These p…

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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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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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New Trends in Bayesian Statistics

Springer Proceedings in Mathematics & Statistics - Band 511

By integrating cutting-edge statistical research with diverse applications, this book serves as both a reference and an inspiration for those interested in advancing Bayesian methodologies. This volume br…

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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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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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Mathematics for Industrial Applications

Springer Proceedings in Mathematics & Statistics - Band 537

This book focuses on theories and applications of mathematics, statistics, and computing, where they intersect to address real-world problems in various industries. The papers contained within were presen…

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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
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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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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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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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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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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Linda Herkenhoff, John Fogli
Applied Statistics for Business and Management using Microsoft Excel

This book illustrates the capabilities of Microsoft Excel to teach applied statistics effectively. It is a step-by-step exercise-driven guide for students and practitioners who need to master Excel to sol…

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Matteo Mazziotta, Adriano Pareto
Statistics for Composite Indicators

SxI - Springer for Innovation / SxI - Springer per l'Innovazione - Band 18

This book provides a systematic and integrated approach to construct measures of complex and multidimensional concepts called composite indicators. One of the most pressing needs of scientists and policy …

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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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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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