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Kenneth J. Berry, Janis E. Johnston, Michael A. Long, Paul Stretesky
Permutation Statistical Methods for Criminology and Criminal Justice

Society, Environment and Statistics

This book takes a unique approach to explaining permutation statistical methods for advanced undergraduate students, graduate students, faculty, researchers, and other professionals interested in the area…

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Time Series and Wavelet Analysis

Prof. Pedro A. Morettin is a Distinguished Professor of Statistics at the Institute of Mathematics and Statistics of the University of São Paulo (IME-USP), where he has built an academic career spanning a…

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Josafhat Salinas Ruíz, Osval Antonio Montesinos López, Jose Crossa
Introduction to Experimental Designs with PROC GLIMMIX of SAS

In this book, the subject of design and analysis of experiments has been covered in simple language by giving basic concepts of various designs and essential data analysis steps of designed experiments. I…

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Jingjing Ye, Lei Nie
Innovative Designs and Analyses for Small Population Clinical Trials

ICSA Book Series in Statistics

This book discusses a multidisciplinary and multi-stakeholder collaborative approach to small population clinical trials. It provides and illustrates a systematic framework that depends upon a collaborati…

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Dmitrii Silvestrov
Coupling and Ergodic Theorems for Semi-Markov-Type Processes II

Ergodic theorems are a cornerstone of the theory of stochastic processes and their applications.This book is the second volume of a two-volume monograph dedicated to ergodic theorems. While the first volu…

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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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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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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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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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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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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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Antonius B. Dieker, Steven T. Hackman
QPLEX: A Computational Modeling and Analysis Methodology for Stochastic Systems

Springer Series in Operations Research and Financial Engineering

This book introduces QPLEX, a powerful computational framework designed for modeling and analyzing nonstationary stochastic systems with large state spaces. The methodology excels at rapidly and accuratel…

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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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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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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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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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Mamikon S. Ginovyan
Random Toeplitz Functionals and Their Applications

Frontiers in Probability and the Statistical Sciences

Introduction and Overview.- 2. Preliminaries.- 3. The Model: Second-Order (Weakly) Stationary Processes.- 4. The Trace Problem for Toeplitz Matrices and Operators.- 5. Central Limit Theorems for Random To…

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Sidney Resnick
The Art of Finding Hidden Risks

This text gives a comprehensive, largely self-contained treatment of multivariate heavy tail analysis. Emphasizing regular variation of measures means theory can be presented systematically and without re…

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Thomas Mikosch, Olivier Wintenberger
Extreme Value Theory for Time Series

Springer Series in Operations Research and Financial Engineering

This book deals with extreme value theory for univariate and multivariate time series models characterized by power-law tails. These include the classical ARMA models with heavy-tailed noise and financial…

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Arvid Naess
Applied Extreme Value Statistics

This book does not focus solely on asymptotic extreme value distributions. In addition to the traditional asymptotic methods, it introduces a data-driven, computer-based method, which provides insights in…

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