Mathematical and statistical software

This book provides an accessible introduction and practical guidelines to apply asymmetric multidimensional scaling, cluster analysis, and related methods to asymmetric one-mode two-way and three-way asymmetric data.

This book provides a comprehensive and concrete illustration of time series analysis focusing on the state-space model, which has recently attracted increasing attention in a broad range of fields.

This book discusses all major topics on survey sampling and estimation.

The book presents the fundamental concepts from asymptotic statistical inference theory, elaborating on some basic large sample optimality properties of estimators and some test procedures.

This book presents theoretical modeling and numerical simulations applied to drive several applications towards Industrial Revolution 4.

This book introduces readers to various signal processing models that have been used in analyzing periodic data, and discusses the statistical and computational methods involved.

This is the first textbook that allows readers who may be unfamiliar with matrices to understand a variety of multivariate analysis procedures in matrix forms.

This book features selected papers presented at the 2nd International Conference on Advanced Computing Technologies and Applications, held at SVKM's Dwarkadas J.

This book discusses enterprise hierarchies, which view a target system with varying degrees of abstraction.

This book brings together the best contributions of the Applied Statistics and Policy Analysis Conference 2019.

This book is a product of the Third International Conference on Computing, Mathematics and Statistics (iCMS2017) to be held in Langkawi in November 2017.

 Deep Learning with R introduces deep learning and neural networks using the R programming language.

This book discusses recent developments in mathematical programming and game theory, and the application of several mathematical models to problems in finance, games, economics and graph theory.

This is an introductory text on a broad class of statistical estimators that are minimizers of convex functions.

This book presents various recently developed and traditional statistical techniques, which are increasingly being applied in social science research.

This unique book addresses the statistical modelling and analysis of microbiome data using cutting-edge R software.

The purpose of this book is to thoroughly prepare the reader for applied research in clustering.

Recent advances in the understanding of star formation and evolution have been impressive and aspects of that knowledge are explored in this volume.

This book provides practical applications of doubly classified models by using R syntax to generate the models.

This book is a valuable read for a diverse group of researchers and practitioners who analyze assessment data and construct test instruments.

This book enables readers who may not be familiar with matrices to understand a variety of multivariate analysis procedures in matrix forms.

This book discusses examples in parametric inference with R.

El presente libro introduce distintas áreas de matemática dirigidas a estudiantes de carreras vinculadas con la ingeniería en general, la informática o las ciencias de la computación.

The book covers a wide range of topics, yet essential, in Computational Finance (CF), understood as a mix of Finance, Computational Statistics, and Mathematics of Finance.

This book promotes the experimental mathematics approach in the context of secondary mathematics curriculum by exploring mathematical models depending on parameters that were typically considered advanced in the pre-digital education era.

The theory of U-statistics goes back to the fundamental work of Hoeffding [1], in which he proved the central limit theorem.

With strong numerical and computational focus, this book serves as an essential resource on the methods for functional neuroimaging analysis, diffusion weighted image analysis, and longitudinal VBM analysis.

This volume provides essential guidance for transforming mathematics learning in schools through the use of innovative technology, pedagogy, and curriculum.

Through analysis of the European Union Emissions Trading Scheme (EU ETS) and the Clean Development Mechanism (CDM), this book demonstrates how to use a variety of econometric techniques to analyze the evolving and expanding carbon markets sphere, techniques that can be extrapolated to the worldwide marketplace.

Explore essential quantum computing algorithms and master concepts intuitively with minimal math expertise requiredKey FeaturesLearn the fundamentals with an introduction to matrix arithmeticWrite quantum computing programs in Qiskit-IBM's publicly available quantum computing websiteEmail your questions directly to the author-no question is too elementaryPurchase of the print or Kindle book includes a free PDF eBookBook DescriptionNavigate the quantum computing spectrum with this book, bridging the gap between abstract, math-heavy texts and math-avoidant beginner guides.

This book discusses enterprise hierarchies, which view a target system with varying degrees of abstraction.

This book offers a thorough understanding of Hierarchical Archimedean Copulas (HACs) and their practical applications.

In providing an in-depth exploration of cutting-edge technologies and how they are used to support data-driven marketing strategies and empower organizations to make the right decisions, Predictive Analytics and Generative AI for Data-Driven Marketing Strategies includes real-world case studies and examples from diverse marketing domains.

This small book addresses different kinds of datafiles, as commonly encountered in clinical research, and their data-analysis on SPSS Software.

This book provides a linguist with a statistical toolkit for exploration and analysis of linguistic data.

This book is intended for undergraduates and young researchers who wish to understand the role that different branches of physics and mathematics play in the execution of actual experiments.

Si tratta di un'opera introduttiva al campionamento da popolazioni finite.

This book offers a collection of recent contributions and emerging ideas in the areas of robust statistics presented at the International Conference on Robust Statistics 2015 (ICORS 2015) held in Kolkata during 12-16 January, 2015.

This book has a collection of articles written by Big Data experts to describe some of the cutting-edge methods and applications from their respective areas of interest, and provides the reader with a detailed overview of the field of Big Data Analytics as it is practiced today.

This book primarily addresses the optimality aspects of covariate designs.

This book gives an introduction to R to build up graphing, simulating and computing skills to enable one to see theoretical and statistical models in economics in a unified way.

The development of software system with acceptable level of reliability and quality within available time frame and budget becomes a challenging objective.

Signal processing may broadly be considered to involve the recovery of information from physical observations.

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This book presents a systematic explanation of the SIML (Separating Information Maximum Likelihood) method, a new approach to financial econometrics.

This book focuses on statistical inferences related to various combinatorial stochastic processes.