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Mathematical Statistics (2024): Lecture 32
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Mathematical Statistics (MOST CURRENT) - Mathematical Statistics (2024): Lecture 32

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  • 38.5 hours of video
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Minimal Sufficient Statistics, Ancillary Statistics, and Bahadur's Theorem In this video: 🔹Completeness and "unbiased estimators of zero" 0:45 🔹Minimal Sufficiency is Not Defined in Terms of Dimension 2:00 🔹A (Fairly) Practical Theorem for Establishing Minimal Sufficiency 4:44 🔹Ancillary Statistics 30:58 🔹Location Parameters and Location Invariant Statistics 34:06 🔹Scale Parameters and Scale Invariant Statistics 47:44 🔹Sufficiency, Ancillary Statistics, and Independence 54:03 New videos release on some weird approximation of every Tuesday and Thursday! ---------------------------------------------------------------------------------------------------------------------------------------------- Thanks for watching! Consider checking out my MathStat textbook! http://www.amazon.com/Simple-Infinite-Joy-Mathematical-Statistics/dp/B0BD1YPQRN Also, if you are interested in data science, check out my courses on Coursera! https://www.coursera.org/specializations/statistical-inference-for-data-science-applications

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