This book deals with certain important problems in Classical and Quantum Information Theory Quantum Information Theory, ......more

This book covers a wide range of problems involving the applications of stochastic processes, stochastic calculus, large......more

This book introduces Mechanistic Data Science (MDS) as a structured methodology for combining data science tools with ma......more

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All data are the result of human actions whether by experimentations, observations, or declarations. As such, the presum......more

The chapters in this book deal with: Basic formulation of waveguide cavity resonator equations especially when the cross......more

Non-Homogeneous Markov Chains and Systems: Theory and Applications fulfills two principal goals. It is devoted to the st......more

This volume includes selected technical papers presented at the Forum "Math-for-Industry" 2018. The papers written by em......more

Ready to learn Stata? The revised edition of Stata Press’ long-time best seller, ’A Gentle Introduction to Stata’ is now......more

This book is written for the love of numbers. It tells their story, shows how they were invented and used to quantify ou......more

Preface.- PART 1: Trends in Multi- and Matrix-Variate Analysis.- Q. Guo, X. Deng and N. Ravishanker: Association-based O......more

Fully updated to reflect the 2022 ASQ Certified Six Sigma Black Belt (CSSBB) Body of Knowledge (BoK), The ASQ Certified ......more

This book comprehensively covers the topic of COVID-19 and other pandemics and epidemics data analytics using computatio......more

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This open access proceedings volume brings selected, peer-reviewed contributions presented at the Stochastic Transport i......more

Introduction to Stochastic Finance with Market Examples, Second Edition presents an introduction to pricing and hedging ......more

1. Benchmarking.- 2. An Introduction to Data Envelopment Analysis.- 3. Probability Theory.- 4. Stochastic Data Envelopme......more

This book introduces the point cloud; its applications in industry, and the most frequently used datasets. It mainly foc......more

The book covers up-to-date theoretical and applied advances in grey systems theory from across the world and vividly pre......more

The study of most scientific fields now relies on an ever-increasing amount of data, due to instrumental and experimenta......more

Preface.- Part I Single-cell Analysis.- Computational and statistical methods for single-cell RNA sequencing data.- Pre-......more

This book presents Industry 4.0 enabler technologies and tools. It also highlights some of the existing empirical applic......more

Incomplete big data are frequently encountered in many industrial applications, such as recommender systems, the Interne......more

This book constitutes the refereed proceedings of the 14th PLAIS EuroSymposium 2022 which was held in Sopot, Poland, on ......more

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The book presents the results of studies on selected problems (such as predictive model of transcription initiation and ......more

- A Lifetime of Excursions Through Random Walks and Lévy Processes. - Path Decompositions of Perturbed Reflecting Browni......more

This book provides an account of multivariate reduced-rank regression, a tool of multivariate analysis that enjoys a bro......more

This book primarily aims to discuss emerging topics in statistical methods and to booster research, education, and train......more

This volume highlights recent advances in data science, including image processing and enhancement on large data, shape ......more

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The book summarizes research work on the Wajid Sandstone, which provides integrated field and laboratory data to enable ......more

This book presents a selection of peer-reviewed contributions to the fifth Bayesian Young Statisticians Meeting, BaYSM 2......more

This edited collection commemorates the career of Dr. S. Lynne Stokes by highlighting recent advances in her areas of re......more

Develop powerful data models that bind data from disparate sources into a coherent whole. Then extend your data models u......more

A unifying framework, based on Information Entropy and its maximization, to connect the phenomenology of evolutionary bi......more

This book constitutes the refereed proceedings of the 10th CCF Conference on BigData 2022, which took place in Chengdu, ......more

This book provides a detailed exposition of a wide range of topics in geometric group theory, inspired by Gromov’s pivot......more

CNN Based Feature Extraction for Visual Speech Recognition in Malayalam.- Effective Rate of Minority Class Over-Sampling......more

1 Introduction.- 2 A review of compositional data analysis.- 3 Exploratory data analysis.- 4 Exploratory spatial analysi......more

Introduction I Dynamics Deterministic dynamical systems Linear and integrable systems Stability and long-time behavior E......more

This book shows you how to analyze data sets systematically and to use Excel 2019 to extract information from data almos......more

This book covers a variety of problems, and offers solutions to some, in: Statistical state and parameter estimation in ......more

The book deals with the application of various measures of information like the entropy, divergence, inaccuracy, etc. in......more

This book surveys some of the important research work carried out by Indian scientists in the field of pure and applied ......more

The Mathieu series is a functional series introduced by Émile Léonard Mathieu for the purposes of his research on the el......more

The subject of this textbook is to act as an introduction to data science / data analysis applied to finance, using R an......more

This book discusses the interplay between statistics, data science, machine learning and artificial intelligence, with a......more

- 1. Linear Models. - 2. Effects in a Factorial Experiment. - 3. Estimation. - 4. Testing. - 5. Multifactor Designs. - 6......more

The book constitutes an introduction to stochastic calculus, stochastic differential equations and related topics such a......more

Latent factor analysis models are an effective type of machine learning model for addressing high-dimensional and sparse......more

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This textbook provides an introduction to modern analysis aimed at advanced undergraduate and graduate-level students of......more

End-to-end Hierarchical Approach for Emotion Detection in short texts.- Towards an Enhanced Understanding of Bias in Pre......more

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Bayesian Inference of State Space Models: Kalman Filtering and Beyond offers a comprehensive introduction to Bayesian es......more

Social science methods such as surveys, observations and content analyses are used in market research, studies of contem......more

Introducing Financial Mathematics: Theory, Binomial Models, and Applications seeks to replace existing books with a rigo......more

The odds-on best way to master stats. Statistics All-in-One For Dummies is packed with lessons, examples, and practice p......more

This is the first of its kind book that describes key elements of enterprise data and analytics strategy, and prescribes......more

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ANOVA and Mixed Models: A Short Introduction Using R provides both the practitioner and researcher a compact introductio......more

The term Inventory Control is used to cover very different functions and is related only in that it requires the mainten......more

After attending a course on Intelligent Systems at the National University of Colombia, and positively motivated by new ......more

There is a logical flaw in the statistical methods used across experimental science. This fault is not a minor academic ......more

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The main focus of this book is on presenting advances in fuzzy statistics, and on proposing a methodology for testing hy......more

Preface.- Part 1: Designing the Study.- Chapter 1: Research Methods and Philosophy of Science.- Chapter 2: The Research ......more

Originally developed by Claude Shannon in the 1940s, information theory laid the foundations for the digital revolution,......more

This book is a composed material which aids the students to rewrite the formulation and graphical representation of the ......more

The Trauma of Racism: Lessons from the Therapeutic Encounter is a pioneering reflection on the psychology of racism and ......more

Statistics are used throughout businesses to present and analyse data and decide on best practice. Simplified Business S......more

Statistics are used throughout businesses to present and analyse data and decide on best practice. Simplified Business S......more

Educational Data Analytics (EDA) have been attributed with significant benefits for enhancing on-demand personalized edu......more