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Flexible Nonparametric Curve Estimation(2024th Edition)
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Hassan Doosti
Cover Type:Hardcover
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ISBN: 3031665007, 978-3031665004
Book publisher: Springer
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Book Summary: This Book Delves Into The Realm Of Nonparametric Estimations, Offering Insights Into Essential Notions Such As Probability Density, Regression, Tsallis Entropy, Residual Tsallis Entropy, And Intensity Functions.Through A Series Of Carefully Crafted Chapters, The Theoretical Foundations Of Flexible Nonparametric Estimators Are Examined, Complemented By Comprehensive Numerical Studies. From Theorem Elucidation To Practical Applications, The Text Provides A Deep Dive Into The Intricacies Of Nonparametric Curve Estimation.Tailored For Postgraduate Students And Researchers Seeking To Expand Their Understanding Of Nonparametric Statistics, This Book Will Serve As A Valuable Resource For Anyone Who Wishes To Explore The Applications Of Flexible Nonparametric Techniques.
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