![Regression]( "Regression")
Textbook
Fahrmeir, L., Kneib, T., Lang, S., Marx, B. D. (2021)
Now in its second edition, this textbook provides an applied and unified introduction to parametric, nonparametric and semiparametric regression that closes the gap between theory …
Available Formats:
Hardcover
eBook
![Generalized Mathieu Series]( "Generalized Mathieu Series")
Book
Tomovski, Ž., Leškovski, D., Gerhold, S. (2021)
The Mathieu series is a functional series introduced by Émile Léonard Mathieu for the purposes of his research on the elasticity of solid bodies. Bounds for this series are needed …
Available Formats:
Hardcover
eBook
![Geostatistics for Compositional Data with R]( "Geostatistics for Compositional Data with R")
Book
Tolosana-Delgado, R., Mueller, U. (2021)
This book provides a guided approach to the geostatistical modelling of compositional spatial data. These data are data in proportions, percentages or concentrations distributed …
Available Formats:
Hardcover
eBook
![Partial Least Squares Structural Equation Modeling (PLS-SEM) Using R]( "Partial Least Squares Structural Equation Modeling (PLS-SEM) Using R")
Textbook
Hair Jr., J. F., Hult, G. T. M., Ringle, C. M., Sarstedt, M., Danks, N. P., Ray, S. (2021)
Partial least squares structural equation modeling (PLS-SEM) has become a standard approach for analyzing complex inter-relationships between observed and latent variables. …
Available Formats:
Hardcover
eBook
![Fundamentals of High-Dimensional Statistics]( "Fundamentals of High-Dimensional Statistics")
Textbook
Lederer, J. (2021)
This textbook provides a step-by-step introduction to the tools and principles of high-dimensional statistics. Each chapter is complemented by numerous exercises, many of them …
Available Formats:
Hardcover
eBook
![The Signed Distance Measure in Fuzzy Statistical Analysis]( "The Signed Distance Measure in Fuzzy Statistical Analysis")
Book
Berkachy, R. (2021)
The main focus of this book is on presenting advances in fuzzy statistics, and on proposing a methodology for testing hypotheses in the fuzzy environment based on the estimation …
Available Formats:
Hardcover
eBook
![Bayesian Inference of State Space Models]( "Bayesian Inference of State Space Models")
Textbook
Triantafyllopoulos, K. (2021)
Bayesian Inference of State Space Models: Kalman Filtering and Beyond offers a comprehensive introduction to Bayesian estimation and forecasting for state space models. The …
Available Formats:
Hardcover
eBook
![Mechanistic Data Science for STEM Education and Applications]( "Mechanistic Data Science for STEM Education and Applications")
Textbook
Liu, W. K., Gan, Z., Fleming, M. (2021)
This book introduces Mechanistic Data Science (MDS) as a structured methodology for combining data science tools with mathematical scientific principles (i.e., “mechanistic” …
Available Formats:
Hardcover
eBook
![Testing Statistical Hypotheses]( "Testing Statistical Hypotheses")
Textbook
Lehmann, E., Romano, J. P. (2021)
Testing Statistical Hypotheses, 4th Edition updates and expands upon the classic graduate text, now a two-volume work. The first volume covers finite-sample theory, while the …
Available Formats:
Hardcover
eBook
![Random Walk, Brownian Motion, and Martingales]( "Random Walk, Brownian Motion, and Martingales")
Textbook
Bhattacharya, R., Waymire, E. C. (2021)
This textbook offers an approachable introduction to stochastic processes that explores the four pillars of random walk, branching processes, Brownian motion, and martingales. …
Available Formats:
Hardcover
eBook
![Analysis of Data from Randomized Controlled Trials]( "Analysis of Data from Randomized Controlled Trials")
Textbook
Twisk, J. W. (2021)
This book provides a practical guide to the analysis of data from randomized controlled trials (RCT). It gives an answer to the question of how to estimate the intervention effect …
Available Formats:
Hardcover
eBook
![Bayesian Optimization with Application to Computer Experiments]( "Bayesian Optimization with Application to Computer Experiments")
Book
Pourmohamad, T., K. H. Lee, H. (2021)
This book introduces readers to Bayesian optimization, highlighting advances in the field and showcasing its successful applications to computer experiments. R code is available …
Available Formats:
Softcover
eBook
![An Introduction to Bayesian Inference, Methods and Computation]( "An Introduction to Bayesian Inference, Methods and Computation")
Textbook
Heard, N. (2021)
These lecture notes provide a rapid, accessible introduction to Bayesian statistical methods. The course covers the fundamental philosophy and principles of Bayesian inference, …
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Hardcover
eBook
![Statistical Foundations, Reasoning and Inference]( "Statistical Foundations, Reasoning and Inference")
Textbook
Kauermann, G., Küchenhoff, H., Heumann, C. (2021)
This textbook provides a comprehensive introduction to statistical principles, concepts and methods that are essential in modern statistics and data science. The topics covered …
Available Formats:
Hardcover
eBook
![Epistemic Processes]( "Epistemic Processes")
Book
Helland, I. S. (2021)
This book discusses a link between statistical theory and quantum theory based on the concept of epistemic processes. The latter are processes, such as statistical investigations …
Available Formats:
Hardcover
eBook
![Big Data Analytics in Cognitive Social Media and Literary Texts]( "Big Data Analytics in Cognitive Social Media and Literary Texts")
Book
Sharma, S. (Ed), Rahaman, V. (Ed), Sinha, G. R. (Ed) (2021)
This book provides a comprehensive overview of the theory and praxis of Big Data Analytics and how these are used to extract cognition-related information from social media and …
Available Formats:
Hardcover
eBook
![Extreme Value Theory with Applications to Natural Hazards]( "Extreme Value Theory with Applications to Natural Hazards")
Book
Bousquet, N. (Ed), Bernardara, P. (Ed) (2021)
This richly illustrated book describes statistical extreme value theory for the quantification of natural hazards, such as strong winds, floods and rainfall, and discusses an …
Available Formats:
Hardcover
eBook
![Concepts and Real-Time Applications of Deep Learning]( "Concepts and Real-Time Applications of Deep Learning")
Book
Srivastava, S. (Ed), Khari, M. (Ed), Gonzalez Crespo, R. (Ed), Chaudhary, G. (Ed), Arora, P. (Ed) (2021)
This book provides readers with a comprehensive and recent exposition in deep learning and its multidisciplinary applications, with a concentration on advances of deep learning …
Available Formats:
Hardcover
eBook
![Multivariate Exponential Families: A Concise Guide to Statistical Inference]( "Multivariate Exponential Families: A Concise Guide to Statistical Inference")
Book
Bedbur, S., Kamps, U. (2021)
This book provides a concise introduction to exponential families. Parametric families of probability distributions and their properties are extensively studied in the literature …
Available Formats:
Softcover
eBook
![Triple Double]( "Triple Double")
Book
Randrianasolo, A. A. (2021)
This book provides empirical evidence and statistical analyses to uncover answers to some of the most debated questions in the NBA. The sports world lives and breathes off of …
Available Formats:
Softcover
eBook