MLE
by Xiaotian Zhu
Explore Maximum Likelihood Estimation through this concise resource by Xiaotian Zhu. It covers core concepts, estimation procedures, and their role in statistical modeling, offering a solid foundation for further study in probability and data science. Perfect for learners aiming to master inferential statistics.
About This Book
Maximum Likelihood Estimation (MLE) is a fundamental technique in statistical inference, widely used for parameter estimation in various models.
This book provides an accessible overview of MLE principles and applications, authored by Xiaotian Zhu.
Readers will gain insights into the mathematical foundations and practical considerations of implementing MLE in data analysis.
Suitable for those with a background in basic statistics, it emphasizes clarity and relevance to real-world problems.
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