Summary
Full Transcript
We begin talking about what we want out of a "good" estimator of the parameter(s) for a given pdf! In this video: 🔹 Expectation and "When things factor" 1:15 🔹 Variance: Definition and Properties 12:45 🔹 Variance of Sums and Covariance 22:17 🔹 Estimation Notation 34:58 🔹 Statistics, Estimators, and Estimates 35:49 🔹 Unbiased Estimators 40:46 🔹 The Mean and Variance for Xbar 43:58 New videos release 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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