Mathematical Statistics: An Introduction to Likelihood Based Inference Your Indispensable Tool
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Book Description:
ISBN-13: 9781118771044
Mathematical Statistics: An Introduction to Likelihood Based Inference is a comprehensive textbook that delves into the fundamental concepts of mathematical statistics with a focus on likelihood-based inference. The book covers topics such as probability theory, statistical inference, hypothesis testing, and estimation, all from a likelihood perspective.
Readers will learn about the theory behind likelihood functions, maximum likelihood estimation, and the properties of likelihood-based inference methods. The book also explores the application of likelihood methods in various statistical models, including linear regression, logistic regression, and survival analysis.
With clear explanations and numerous examples, this book is suitable for students and professionals in the fields of statistics, mathematics, and data science. It provides a solid foundation in likelihood-based inference techniques and equips readers with the knowledge and skills needed to apply these methods in real-world scenarios.
Mathematical Statistics: An Introduction to Likelihood Based Inference is a valuable resource for anyone looking to deepen their understanding of statistical theory and its practical applications.
This edition retains the full content with the added advantage of portability, allowing readers to easily access and engage with the material from any device, whether in a classroom or during fieldwork.
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