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Statistik – Bücher, CDs, LPs und mehr, Seite 9

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Mike Nguyen
Experimental Design

Principles of Experimental Design.- The Gold Standard: Randomized Controlled Trials.- Sampling.

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Active Particles, Volume 4

This edited volume collects nine surveys that present the state-of-the-art in modeling, qualitative analysis, and simulation of active particles, focusing on specific applications in the natural sciences.…

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

Introduction. - Part I Continuous, Count, and Dichotomous Outcomes. - 2. Standard GEE Modeling of Correlated Univariate Outcomes. - 3. Partially Modified GEE Modeling of Correlated Univariate Outcomes. - …

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Thomas W. Macfarland
Introduction to Data Science in Biostatistics

Introduction to Data Science in Biostatistics: Using R, the Tidyverse Ecosystem, and APIs defines and explores the term "data science" and discusses the many professional skills and competencies…

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Crowd Dynamics, Volume 4

Behavioral Human Crowds and Society (Gibelli).- The mathematical theory of Hughes' model: a survey of results (Rosini).- Time-continuous microscopic pedestrian models: an overview (Totzeck).- Empirical in…

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Harald Luschgy, Gilles Pagès
Marginal and Functional Quantization of Stochastic Processes

Vector Quantization, a pioneering discretization method based on nearest neighbor search, emerged in the 1950s primarily in signal processing, electrical engineering, and information theory. Later in the …

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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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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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Rinaldo B. Schinazi
Classical and Spatial Stochastic Processes

This textbook provides an accessible approach to concepts and applications of stochastic processes ideal for a wide range of readers. This revised third edition features an intuitive reorganization with c…

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Multiscale, Nonlinear and Adaptive Approximation II

This book presents a collection of high-quality papers in applied and numerical mathematics, as well as approximation theory, all closely related to Wolfgang Dahmen¿s scientific contributions. Compiled in…

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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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Tamás Rudas
Lectures on Advanced Topics in Categorical Data Analysis

This book continues the mission of the previous text by the author, Lectures on Categorical Data Analysis, by expanding on the introductory concepts from that volume and providing a mathematically rigorou…

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Micha¿ Chorowski, Ryszard Kutner, Tomasz Gubiec
Anomalous Stochastics

This textbook provides a comprehensive exploration of anomalous stochastic processes and extreme events, commonly referred to as "black swans," with a particular focus on (multi-)fractal approac…

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Statistical Modeling and Applications

In an era defined by the seamless integration of data and sophisticated analytical and modeling techniques, the quest for advanced statistical modeling and methodologies has never been more pertinent. Sta…

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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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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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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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New Frontiers in Statistics and Data Science

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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Matthias Templ
Visualization and Imputation of Missing Values

This book explores visualization and imputation techniques for missing values and presents practical applications using the statistical software R. It explains the concepts of common imputation methods wi…

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Mathematics for Sustainable Industry

This volume gathers selected, peer-reviewed contributions presented at the 5th International Seminar on Mathematics in Industry -- ISMI2024, held on September 9-11, 2024 in Kuala Lumpur, Malaysia. Article…

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