First published in 1972, Distribution Theory follows on from the author's earlier book, Descriptive Statistics and Probability Theory, but may easily be followed by any reader who has not studied that particular book but who has gained some knowledge of numerical distributions and basic probability theory.
This book gives an overview of the Indian National Sample Survey (NSS) with a summarization of the salient features of the survey methodology adopted in the surveys, experiences gathered on the strengths and limitations of the data collected through the NSS and way forward to address some critical data gaps for further strengthening the NSS database.
The Effect: An Introduction to Research Design and Causality, Second edition is an excellent teaching text about research design, specifically concerning research that uses observational data to make a causal inference.
This book gives an overview of the Indian National Sample Survey (NSS) with a summarization of the salient features of the survey methodology adopted in the surveys, experiences gathered on the strengths and limitations of the data collected through the NSS and way forward to address some critical data gaps for further strengthening the NSS database.
This book explores the transformative role of soft computing methods in increasing business analytics, providing a comprehensive look into how these advanced methods can be applied to complex business data for meaningful insights.
This book provides a chronological, comprehensive, and up-to-date review of indirect methods of data collection from the human population such as randomized response, non-randomized response, item count, item sum, nominative, and negative questioning techniques.
This book provides a chronological, comprehensive, and up-to-date review of indirect methods of data collection from the human population such as randomized response, non-randomized response, item count, item sum, nominative, and negative questioning techniques.
Unlock the Power of Data Science and Machine LearningIn this comprehensive guide, we delve into the world of data science, machinelearning, and AI modeling, providing readers with a robust foundation and practical skills to tackle real-world problems.
The new edition of Biostatistics for Clinical and Public Health Research is an introductory workbook to provide not only a concise overview of key statistical concepts but also step-by-step guidance on how to apply these through a range of software packages, including R, SAS, and Stata.
In diesem essential steht die leichte Verständlichkeit statistischer Grundbegriffe im Vordergrund, ohne dabei die mathematische Korrektheit zu beeinträchtigen.
In diesem essential steht die leichte Verständlichkeit statistischer Grundbegriffe im Vordergrund, ohne dabei die mathematische Korrektheit zu beeinträchtigen.
This book was created with the goal of helping students transition from the theoretical and methodological concepts of statistical inference to their implementation on a computer.
This book was created with the goal of helping students transition from the theoretical and methodological concepts of statistical inference to their implementation on a computer.
This book reports on cutting-edge theories and methods for analyzing complex systems, such as transportation and communication networks and discusses multi-disciplinary approaches to dependability problems encountered when dealing with complex systems in practice.
The area of Explainable Artificial Intelligence (XAI) is concerned with providing methods and tools to improve the interpretability of black-box learning models.
This book reports on cutting-edge theories and methods for analyzing complex systems, such as transportation and communication networks and discusses multi-disciplinary approaches to dependability problems encountered when dealing with complex systems in practice.
The area of Explainable Artificial Intelligence (XAI) is concerned with providing methods and tools to improve the interpretability of black-box learning models.
This book includes high-quality papers presented at 18th International Conference on Information Technology and Applications (ICITA 2024), held in Sydney, Australia, during October 17-19, 2024.
Standards, Emergence, and Complex Outcomes redefines how we think about standards, framing them as interfaces that govern interactions and connect causes to their effects.
Introduction to Political Analysis in R is a comprehensive guide for students and researchers eager to delve into the intersection of data science, statistics, and political science.
This book provides a practical, application-driven guide to using R for public health and health data science, accessible to both beginners and those with some coding experience.
First published in 1972, in Descriptive Statistics and Probability Theory the numerical work- the selection of numerical data-is used as a basis for developing the statistical theory.
First published in 1972, in Descriptive Statistics and Probability Theory the numerical work- the selection of numerical data-is used as a basis for developing the statistical theory.
After many years during which it languished in relative obscurity, in remote classrooms of computer science departments and in small prototype projects for tech companies, artificial intelligence (AI) is now a searingly hot topic across the media.
Risk Analysis in Finance and Insurance, Third Edition presents an accessible yet comprehensive introduction to the main concepts and methods that transform risk management into a quantitative science.
The Proceedings of the Sixth Berkeley Symposium on Mathematical Statistics and Probability continues the tradition of this esteemed series, which has been held every five years since 1945.
The Proceedings of the Sixth Berkeley Symposium on Mathematical Statistics and Probability continues the tradition of this esteemed series, which has been held every five years since 1945.
Based on the calculation of transition states and the identification of transition paths, this book aims to provide a comprehensive guide to understanding and simulating rare events.
