Fundamentals Of Statistics Principles And Applications
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Fundamentals of Statistics- Principles and Applications
Author: Dr. Ajay Kumar Yadav
language: en
Publisher: Academic Guru Publishing House
Release Date: 2024-06-24
“Fundamentals of Statistics: Principles and Applications” is a comprehensive guide designed to introduce readers to the core concepts and methods of statistics. This book breaks down complex statistical ideas into clear, accessible language, making it ideal for students, professionals, and educators alike. Covering a wide range of topics, from basic data collection and descriptive statistics to more advanced areas like probability theory, hypothesis testing, and regression analysis, it provides a solid foundation for understanding and applying statistical techniques in various fields. The book emphasizes practical applications, using real-world examples to illustrate how statistical principles can be used to make informed decisions and analyze data effectively. Whether you are new to statistics or seeking to deepen your knowledge, this book serves as a valuable resource for mastering the fundamentals and appreciating the importance of statistics in everyday life.
Foundations of Data Science- Principles and Applications
Author: Dr. Punit Kumar Chaubey
language: en
Publisher: Academic Guru Publishing House
Release Date: 2024-07-24
The thorough reference "Foundations of Data Science: Principles and Applications" explores the fundamental ideas and real-world uses of data science. The book is appropriate for both novices and those wishing to expand their knowledge of the subject since it is organised to lead readers from the fundamentals to more complex subjects. The book is broken up into many important parts. The first few chapters cover foundational ideas such data types, statistical procedures, and data visualisation strategies. Big data analytics, data mining methods, and machine learning algorithms are introduced throughout the book. A combination of practical examples and theoretical insights are used to convey each subject, making sure that readers not only understand the ideas but also learn how to apply them. The book encourages readers to think about the wider effect of their work by addressing the ethical and social aspects of data science in addition to its technical content. Readers will have a solid foundation in data science at the conclusion of the book, along with the know-how to take on challenging data problems and make significant contributions to the field.
Fundamentals of Queueing Theory
Praise for the Third Edition "This is one of the best books available. Its excellent organizational structure allows quick reference to specific models and its clear presentation . . . solidifies the understanding of the concepts being presented." —IIE Transactions on Operations Engineering Thoroughly revised and expanded to reflect the latest developments in the field, Fundamentals of Queueing Theory, Fourth Edition continues to present the basic statistical principles that are necessary to analyze the probabilistic nature of queues. Rather than presenting a narrow focus on the subject, this update illustrates the wide-reaching, fundamental concepts in queueing theory and its applications to diverse areas such as computer science, engineering, business, and operations research. This update takes a numerical approach to understanding and making probable estimations relating to queues, with a comprehensive outline of simple and more advanced queueing models. Newly featured topics of the Fourth Edition include: Retrial queues Approximations for queueing networks Numerical inversion of transforms Determining the appropriate number of servers to balance quality and cost of service Each chapter provides a self-contained presentation of key concepts and formulae, allowing readers to work with each section independently, while a summary table at the end of the book outlines the types of queues that have been discussed and their results. In addition, two new appendices have been added, discussing transforms and generating functions as well as the fundamentals of differential and difference equations. New examples are now included along with problems that incorporate QtsPlus software, which is freely available via the book's related Web site. With its accessible style and wealth of real-world examples, Fundamentals of Queueing Theory, Fourth Edition is an ideal book for courses on queueing theory at the upper-undergraduate and graduate levels. It is also a valuable resource for researchers and practitioners who analyze congestion in the fields of telecommunications, transportation, aviation, and management science.