Harry Crane
Professor of Statistics, Rutgers University
Co-Founder, Researchers.One, Analytics.Bet
Interests: probability, risk, gambling, common sense
web: http://www.harrycrane.com
twitter: @HarryDCrane
19-4 Delta Method (First Course in Probability)
9-14 Hat Matching (First Course in Probability)
9-13 General Poisson Approximation (First Course in Probability)
9-12 Reproductive Property of Poisson (First Course in Probability)
9-11 Poisson Approximation (First Course in Probability)
9-10 Poisson Distribution (First Course in Probability)
9-9 Factorial Moments (First Course in Probability)
19-3 Proof of Central Limit Theorem (First Course in Probability)
19-2 Central Limit Theorem Application (First Course in Probability)
19-1 Central Limit Theorem (First Course in Probability)
18-5 Monte Carlo Integration (First Course in Probability)
18-4 Weak Law of Large Numbers, Version 2 (First Course in Probability)
18-3 Weak Law of Large Numbers (First Course in Probability)
18-2 Convergence in Probability (First Course in Probability)
18-1 Limit Theorems (First Course in Probability)
17-7 Joint Moment Generating Functions (First Course in Probability)
17-6 Multiplication Rule for Moment Generating Functions (First Course in Probability)
17-5 Relationship between Probability Generating Functions and Moment Generating Functions
17-4 Uniqueness Theorem of Moment Generating Functions (First Course in Probability)
17-3 Moment Generating Functions of Common Random Variables (First Course in Probability)
17-2 Cumulant Generating Functions (First Course in Probability)
17-1 Moment Generating Functions (First Course in Probability)
16-8 Best Linear Prediction (First Course in Probability)
16-7 Best Prediction (First Course in Probability)
16-6 Expectation of a Random Sum (First Course in Probability)
16-5 Conditional Expectation and Variance as a Random Variable (First Course in Probability)
16-4 Conditional Expectation and Variance (First Course in Probability)
16-3 Conditional Distribution for Bivariate Normal (First Course in Probability)
16-2 Conditional Densities (First Course in Probability)
16-1 Conditional Distributions (First Course in Probability)