HOT YLE英檢

排序依

共有9884

Manifold Learning: Model Reduction in Engineering

Manifold Learning: Model Reduction in Engineering

This Open Access book reviews recent theoretical and numerical developments in nonlinear model order reduction in contin......more

Partial Truths: How Fractions Distort Our Thinking

Partial Truths: How Fractions Distort Our Thinking

A fast-food chain once tried to compete with McDonald’s quarter-pounder by introducing a third-pound hamburger--only for......more

Robust Control for Discrete-Time Markovian Jump Systems in the Finite-Time Domain

Robust Control for Discrete-Time Markovian Jump Systems in the Finite-Time Domain

This book provides robust analysis and synthesis tools for Markovian jump systems in the finite-time domain with specifi......more

Computational and Strategic Business Modelling: IC-Bim 2021, Athens, Greece

Computational and Strategic Business Modelling: IC-Bim 2021, Athens, Greece

  • Ingram,出版日期:2024-02-14

This book presents advanced methods in business intelligence models that are applicable in research areas of business an......more

Statistics for Public Policy: A Practical Guide to Being Mostly Right (or at Least Respectably Wrong)

Statistics for Public Policy: A Practical Guide to Being Mostly Right (or at Least Respectably Wrong)

A long-overdue guide on how to use statistics to bring clarity, not confusion, to policy work. Statistics are an essenti......more

Random Graphs and Complex Networks

Random Graphs and Complex Networks

Complex networks are key to describing the connected nature of the society that we live in. This book, the second of two......more

Value of Information for Healthcare Decision Making

Value of Information for Healthcare Decision Making

  • Ingram,出版日期:2024-02-08

For health economic modellers and researchers, in industry, government, or academia, who wish to perform VOI analysis in......more

Introductory Statistical Analysis for Scientists

Introductory Statistical Analysis for Scientists

The book deals with basic statistics which are used by applied and empirical research workers in the field of engineerin......more

Online Machine Learning: A Practical Guide with Examples in Python

Online Machine Learning: A Practical Guide with Examples in Python

  • Ingram,出版日期:2024-02-06

This book deals with the exciting, seminal topic of Online Machine Learning (OML). The content is divided into three par......more

Probability Modeling and Statistical Inference in Cancer Screening

Probability Modeling and Statistical Inference in Cancer Screening

There are many unsolved problems in the study of cancer screening: how to estimate key parameters involved in screening ......more

Facets of Noise: Effects in Classical and Quantum Systems

Facets of Noise: Effects in Classical and Quantum Systems

This book provides a captivating journey through the realms of classical and quantum systems as it unravels the profound......more

Diffusion Under Confinement: A Journey Through Counterintuition

Diffusion Under Confinement: A Journey Through Counterintuition

This book offers the reader a journey through the counterintuitive nature of Brownian motion under confinement. Diffusio......more

Introduction to Statistics and Data Analysis: With Exercises, Solutions and Applications in R

Introduction to Statistics and Data Analysis: With Exercises, Solutions and Applications in R

Now in its second edition, this introductory statistics textbook conveys the essential concepts and tools needed to deve......more

Payroll management for Malian SMEs

Payroll management for Malian SMEs

This book is the fruit of a study involving Malian SMEs. It is the result of numerous stereotypes indicating that Africa......more

Bayesian Analysis with Python - Third Edition: A practical guide to probabilistic modeling

Bayesian Analysis with Python - Third Edition: A practical guide to probabilistic modeling

Learn the fundamentals of Bayesian modeling using state-of-the-art Python libraries, such as PyMC, ArviZ, Bambi, and mor......more

Bayesian Inverse Problems: Fundamentals and Engineering Applications

Bayesian Inverse Problems: Fundamentals and Engineering Applications

  • Ingram,出版日期:2024-01-29

This book is devoted to a special class of engineering problems called Bayesian inverse problems. These problems compris......more

Statistical Models in Consumer Behavior

Statistical Models in Consumer Behavior

This book narrates the detailed review on stochastic behavior of repeated purchasers and made an attempt to compare expe......more

Optimal Decision Making in Operations Research and Statistics: Methodologies and Applications

Optimal Decision Making in Operations Research and Statistics: Methodologies and Applications

  • Ingram,出版日期:2024-01-29

The book provides insights in the decision-making for implementing strategies in various spheres of real-world issues. I......more

Simultaneous Global New Drug Development: Multi-Regional Clinical Trials After Ich E17

Simultaneous Global New Drug Development: Multi-Regional Clinical Trials After Ich E17

  • Ingram,出版日期:2024-01-29

Global simultaneous development is becoming more necessary as the cost of developing medical products continues to grow.......more

Trace Environmental Quantitative Analysis: Including Student-Tested Experiments

Trace Environmental Quantitative Analysis: Including Student-Tested Experiments

A thorough and timely update, this new edition presents principles, techniques, and applications in this sub-discipline ......more

Optimization with Lingo-18: Problems and Applications

Optimization with Lingo-18: Problems and Applications

The book is a valuable compendium comprising several optimization applications-based case studies. Chapters are written ......more

Deterministic and Stochastic Optimal Control and Inverse Problems

Deterministic and Stochastic Optimal Control and Inverse Problems

  • Ingram,出版日期:2024-01-29

This edited volume comprises invited contributions from world-renowned researchers in the subject of stochastic control ......more

Handbook of Bayesian Variable Selection

Handbook of Bayesian Variable Selection

  • Ingram,出版日期:2024-01-29

Bayesian variable selection has experienced substantial developments over the past 30 years with the proliferation of la......more

Random Matrices and Non-Commutative Probability

Random Matrices and Non-Commutative Probability

Free Probability/Non-commutative Probability has gained much attentionsignificant advances have been made since its init......more

Mathematics for Social Justice

Mathematics for Social Justice

  • Ingram,出版日期:2024-01-29

This book contains examples of topics linking math and social justice and addresses both goals. There is a broad range o......more

Handbook of Multiple Comparisons

Handbook of Multiple Comparisons

  • Ingram,出版日期:2024-01-29

Written by experts that include originators of some key ideas, chapters in the Handbook of Multiple Testing cover multip......more

Statistical Methods for Handling Incomplete Data

Statistical Methods for Handling Incomplete Data

Due to recent theoretical findings and advances in statistical computing, there has been a rapid development of techniqu......more

Event History Analysis with R

Event History Analysis with R

With an emphasis on social science applications, Event History Analysis with R, Second Edition, presents an introduction......more

Multivariate Data Integration Using R: Methods and Applications with the Mixomics Package

Multivariate Data Integration Using R: Methods and Applications with the Mixomics Package

Large biological data, which are often noisy and high-dimensional, have become increasingly prevalent in biology and med......more

Confidence Intervals for Discrete Data in Clinical Research

Confidence Intervals for Discrete Data in Clinical Research

Confidence Intervals for Discrete Data in Clinical Research is designed as a toolbox for biomedical researchers. Analysi......more

Handbook of Measurement Error Models

Handbook of Measurement Error Models

  • Ingram,出版日期:2024-01-29

Measurement error arises ubiquitously in applications and has been of long-standing concern in a variety of fields, incl......more

Semiparametric Odds Ratio Model and Its Applications

Semiparametric Odds Ratio Model and Its Applications

This book’s exploration of many common statistical problems with real-world examples makes it an invaluable reference fo......more

Quantitative Drug Safety and Benefit Risk Evaluation: Practical and Cross-Disciplinary Approaches

Quantitative Drug Safety and Benefit Risk Evaluation: Practical and Cross-Disciplinary Approaches

  • Ingram,出版日期:2024-01-29

This book provides a comprehensive coverage on safety monitoring methodologies, covering both global trends and regional......more

Statistical Modelling of Occupant Behaviour

Statistical Modelling of Occupant Behaviour

This book is the result of a collaboration between researchers from occupant behaviour and statistical modelling. It pre......more

Analysis of Categorical Data from Historical Perspectives: Essays in Honor of Shizuhiko Nishisato

Analysis of Categorical Data from Historical Perspectives: Essays in Honor of Shizuhiko Nishisato

  • Ingram,出版日期:2024-01-26

This collection of essays is in honor of Shizuhiko Nishisato on his 88th birthday and consists of invited contributions ......more

Discrete Choice Analysis with R

Discrete Choice Analysis with R

This book is designed as a gentle introduction to the fascinating field of choice modeling and its practical implementat......more

Modeling Correlated Outcomes Using Extensions of Generalized Estimating Equations and Linear Mixed Modeling

Modeling Correlated Outcomes Using Extensions of Generalized Estimating Equations and Linear Mixed Modeling

This book formulates methods for modeling continuous and categorical correlated outcomes that extend the commonly used m......more

Synthetic Aperture Radar (Sar) Data Applications

Synthetic Aperture Radar (Sar) Data Applications

  • Ingram,出版日期:2024-01-20

This carefully curated volume presents an in-depth, state-of-the-art discussion on many applications of Synthetic Apertu......more

Applied Machine Learning Using Mlr3 in R

Applied Machine Learning Using Mlr3 in R

  • Ingram,出版日期:2024-01-18

mlr3 is an award-winning ecosystem of R packages that have been developed to enable state-of-the-art machine learning ca......more

Applied Machine Learning Using Mlr3 in R

Applied Machine Learning Using Mlr3 in R

  • Ingram,出版日期:2024-01-18

mlr3 is an award-winning ecosystem of R packages that have been developed to enable state-of-the-art machine learning ca......more

Statistical Inference

Statistical Inference

Statistical Inference (SI), as an essential chapter of Statistical Science, provides advanced methods for problem solvin......more

Reflections on the Foundations of Probability and Statistics: Essays in Honor of Teddy Seidenfeld

Reflections on the Foundations of Probability and Statistics: Essays in Honor of Teddy Seidenfeld

  • Ingram,出版日期:2024-01-15

This Festschrift celebrates Teddy Seidenfeld and his seminal contributions to philosophy, statistics, probability, game ......more

Probability: An Introduction Through Theory and Exercises

Probability: An Introduction Through Theory and Exercises

This textbook offers a complete one-semester course in probability, covering the essential topics necessary for further ......more

Reliability Engineering: Data Analytics, Modeling, Risk Prediction

Reliability Engineering: Data Analytics, Modeling, Risk Prediction

This textbook teaches methods of data analytics for technical reliability analyses and risk prognosis on the basis of pr......more

Business Statistics for Dummies

Business Statistics for Dummies

Shows how statistical ideas, techniques, formulas, and calculations apply to the world of global business and economics.......more

Statistics for Economists

Statistics for Economists

This first course in statistics is designed for undergraduate students. There are dozens of statistics textbooks in the ......more

Trends of Artificial Intelligence and Big Data for E-Health

Trends of Artificial Intelligence and Big Data for E-Health

  • Ingram,出版日期:2024-01-04

This book aims to present evidence of the crucial importance of artificial intelligence and big data for medical decisio......more

Novelty, Information and Surprise

Novelty, Information and Surprise

This revised edition offers an approach to information theory that is more general than the classical approach of Shanno......more

Statistics for Economists

Statistics for Economists

This first course in statistics is designed for undergraduate students. There are dozens of statistics textbooks in the ......more

Generating Functions in Engineering and the Applied Sciences

Generating Functions in Engineering and the Applied Sciences

Generating function (GF) is a mathematical technique to concisely represent a known ordered sequence into a simple conti......more

Fractional Deterministic and Stochastic Calculus

Fractional Deterministic and Stochastic Calculus

Fractional calculus has emerged as a powerful and effective mathematical tool in the study of several phenomena in scien......more

A Pen and Paper Introduction to Statistics

A Pen and Paper Introduction to Statistics

This book proposes to reverse the way statistics is taught, by starting with the introduction of linear models. Today, m......more

A Pen and Paper Introduction to Statistics

A Pen and Paper Introduction to Statistics

Statistics is central in the biosciences, social sciences and other disciplines, yet many students often struggle to lea......more

Business Statistics Using Excel: A Complete Course in Data Analytics

Business Statistics Using Excel: A Complete Course in Data Analytics

This book gives readers a hands-on understanding of Excel-assisted statistical techniques to take effective business dec......more

Business Statistics Using Excel: A Complete Course in Data Analytics

Business Statistics Using Excel: A Complete Course in Data Analytics

This book gives readers a hands-on understanding of Excel-assisted statistical techniques to take effective business dec......more

Calibration the drift term of Jump-Diffusion Option Pricing Model

Calibration the drift term of Jump-Diffusion Option Pricing Model

The book introduces a finance calibration issue, aiming to determine model parameters using observed option prices. It d......more

Session-Based Recommender Systems Using Deep Learning

Session-Based Recommender Systems Using Deep Learning

This book focuses on the widespread use of deep neural networks and their various techniques in session-based recommende......more

Stochastic Geometric Analysis with Applications

Stochastic Geometric Analysis with Applications

This book is a comprehensive exploration of the interplay between Stochastic Analysis, Geometry, and Partial Differentia......more

Introduction to NFL Analytics with R

Introduction to NFL Analytics with R

It has become difficult to ignore the analytics movement within the NFL. An increasing number of coaches openly integrat......more

Introduction to NFL Analytics with R

Introduction to NFL Analytics with R

It has become difficult to ignore the analytics movement within the NFL. An increasing number of coaches openly integrat......more

Critical Factors for Adoption of Customer Relationship Management: A Study of Palestine Smes

Critical Factors for Adoption of Customer Relationship Management: A Study of Palestine Smes

This book explores the challenges in adopting customer relationship management (CRM) models in developing countries, wit......more

Decision Intelligence Solutions: Proceedings of the International Conference on Information Technology, Incite 2023, Volume 2

Decision Intelligence Solutions: Proceedings of the International Conference on Information Technology, Incite 2023, Volume 2

  • Ingram,出版日期:2023-12-15

This book comprises the select peer-reviewed proceedings of the 3rd International Conference on Information Technology (......more

Handbook on Federated Learning: Advances, Applications and Opportunities

Handbook on Federated Learning: Advances, Applications and Opportunities

  • Ingram,出版日期:2023-12-15

Mobile, wearable, and self-driving telephones are just a few examples of modern distributed networks that generate enorm......more

An Advanced Course in Probability and Stochastic Processes

An Advanced Course in Probability and Stochastic Processes

An Advanced Course in Probability and Stochastic Processes provides a modern and rigorous treatment of probability theor......more

Big Data: 11th Ccf Conference, Bigdata 2023, Nanjing, China, September 8-10, 2023, Proceedings

Big Data: 11th Ccf Conference, Bigdata 2023, Nanjing, China, September 8-10, 2023, Proceedings

  • Ingram,出版日期:2023-12-15

This book constitutes the refereed proceedings of the 11th CCF Conference on BigData 2023, which took place in Nanjing, ......more

A Course in the Large Sample Theory of Statistical Inference

A Course in the Large Sample Theory of Statistical Inference

This book provides an accessible but rigorous introduction to asymptotic theory in parametric statistical models. Asympt......more

Introductory Statistics 2e (hardcover, full color)

Introductory Statistics 2e (hardcover, full color)

Book Publication Date: Dec 13, 2023. Full color. Introductory Statistics 2e provides an engaging, practical, and thoroug......more

Introductory Statistics 2e (paperback, b&w)

Introductory Statistics 2e (paperback, b&w)

Book Publication Date: Dec 13, 2023. Black & white print. Introductory Statistics 2e provides an engaging, practical, an......more

Statistical Approaches for Epidemiology: From Concept to Application

Statistical Approaches for Epidemiology: From Concept to Application

  • Ingram,出版日期:2023-12-13

This textbook provides the basic concepts of epidemiology while preparing readers with the skills of applying statistica......more

Spatio-Temporal Methods in Environmental Epidemiology with R

Spatio-Temporal Methods in Environmental Epidemiology with R

Spatio-Temporal Methods in Environmental Epidemiology with R, like its First Edition, explores the interface between env......more

Model, Integrate, Search... Repeat: A Sound Approach to Building Integrated Repositories of Genomic Data

Model, Integrate, Search... Repeat: A Sound Approach to Building Integrated Repositories of Genomic Data

This book is a revised version of the PhD dissertation written by the author to receive her PhD from the Department of E......more

Algorithms for Adaptive Evolution of Stochastic Control Objects

Algorithms for Adaptive Evolution of Stochastic Control Objects

The expansion and constant complication of the scope of research objects requires the development of new effective metho......more

Cluster Comparison Applying the Hierarchical and K-Med Techniques

Cluster Comparison Applying the Hierarchical and K-Med Techniques

Comparing the clusters obtained by two statistical grouping techniques, hierarchical and k-means, we examine the results......more

Chatgpt for Beginners: Features, Foundations, and Applications

Chatgpt for Beginners: Features, Foundations, and Applications

If you’re a complete newbie who’s wondering exactly what ChatGPT is, what is does, and how it can be a valuable resource......more

Spatial Statistics for Data Science: Theory and Practice with R

Spatial Statistics for Data Science: Theory and Practice with R

Spatial data is crucial to improve decision-making in a wide range of fields including environment, health, ecology, urb......more

Advanced Monte Carlo Methods for the Statistical Depth Functions

Advanced Monte Carlo Methods for the Statistical Depth Functions

The Monte Carlo methods are widely used in many fields of modern science and technology. As an effective tool for multiv......more

Industry 4.0: Technologies, Applications, and Challenges

Industry 4.0: Technologies, Applications, and Challenges

  • Ingram,出版日期:2023-12-08

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

Evaluating What Works: An Intuitive Guide to Intervention Research for Practitioners

Evaluating What Works: An Intuitive Guide to Intervention Research for Practitioners

Those who work in allied health professions and education aim to make people’s lives better. Often, however, it is hard ......more

Evaluating What Works: An Intuitive Guide to Intervention Research for Practitioners

Evaluating What Works: An Intuitive Guide to Intervention Research for Practitioners

Those who work in allied health professions and education aim to make people’s lives better. Often, however, it is hard ......more

Marginal and Functional Quantization of Stochastic Processes

Marginal and Functional Quantization of Stochastic Processes

Vector Quantization, a pioneering discretization method based on nearest neighbor search, emerged in the 1950s primarily......more

Tales of the Tail: Legendary Cats Throughout History

Tales of the Tail: Legendary Cats Throughout History

"Tales of the Tail: Legendary Cats Throughout History" is an enchanting exploration into the feline realm, delving into ......more

An Introduction to Optimization with Applications in Machine Learning and Data Analytics

An Introduction to Optimization with Applications in Machine Learning and Data Analytics

The primary goal of this text is a practical one. Equipping students with enough knowledge and creating an independent r......more

Probably Overthinking It: How to Use Data to Answer Questions, Avoid Statistical Traps, and Make Better Decisions

Probably Overthinking It: How to Use Data to Answer Questions, Avoid Statistical Traps, and Make Better Decisions

An essential guide to the ways data can improve decision making. Statistics are everywhere: in news reports, at the doct......more

99上一頁 1 2 3 4 5 6 7 8 9 10 下一頁 跳到