“…"This book summarizes the results of various models under normal theory with a brief review of the literature. Statistical Inference for Models with Multivariate t-Distributed Errors: Includes a wide array of applications for the analysis of multivariate observations Emphasizes the development of linear statistical models with applications to engineering, the physical sciences, and mathematics Contains an up-to-date bibliography featuring the latest trends and advances in the field to provide a collective source for research on the topic Addresses linear regression models with non-normal errors with practical real-world examples Uniquely addresses regression models in Student's t-distributed errors and t-models Supplemented with an Instructor's Solutions Manual, which is available via written request by the Publisher "--…”

Tabla de Contenidos: “…Introduction -- Existing guidelines related to transparency -- Benefits and costs of transparency: views from three statistical agencies -- Benefits and costs of transparency: views from the United Kingdom and Canada -- Two U.S. …”

Tabla de Contenidos: “…Principles for a federal statistical agency -- Practices for a federal statistical agency…”

Materias: “…Statistics Study and teaching…”

Tabla de Contenidos: “…Intro -- Preface -- Acknowledgments -- About the Editors -- List of Contributors -- Theme 1Statistics and AI Methods with Applications -- Chapter 1A Review of Computational Statistics and Artificial Intelligence Methodologies -- Chapter 2An Improved Random Forest for Classification and Regression Using Dynamic Weighted Scheme -- Chapter 3Study of Computational Statistical Methodologies for Modelling the Evolution of COVID-19 in India during the Second Wave -- Theme 2 Machine Learning-adopted Models -- Chapter 4Distracted Driver Detection Using Image Segmentation and Transfer Learning -- Chapter 5Review Analysis of Ride-Sharing Applications Using Machine Learning Approaches: Bangladesh Perspective -- Chapter 6Nowcasting of Selected Imports and Exports of Bangladesh: Comparison among Traditional Time Series Model and Machine Learning Models -- Theme 3Development of the Forecasting Component to the Decision Support Tools -- Chapter 7An Intelligent Interview Bot for Candidate Assessment by Using Facial Expression Recognition and Speech Recognition System -- Chapter 8Analysis of Oversampling and Ensemble Learning Methods for Credit Card Fraud Detection -- Chapter 9Combining News with Time Series for Stock Trend Prediction -- Chapter 10Influencing Project Success Outcomes by Utilising Advanced Statistical Techniques and AI during the Project Initiating Process -- Theme 4 Socio-economic and Environmental Modelling Theme 5Healthcare and Mental Disorder Detection with AIs -- Chapter 11Computational Statistical Methods for Uncertainty Assessment in Geoscience -- Chapter 12A Comparison of Geocomputational Models for Validating Geospatial Distribution of Water Quality Index -- Chapter 13Mathematical Modeling for Socio-economic Development: A Case from Palestine…”

Materias:

Materias:

Tabla de Contenidos: “…Part I: Foundations of Wait Statistics Analysis -- 1. Wait Statistics Internals -- 2. …”

“…The talk will cover the tooling, workflow, and the philosophy you need to master Literate Statistical Programming."--Resource description page…”

“…Wiley Series in Probability and Statistics…”