반응형 Inequality2 Important Inequalities - Chebyshev Inequality, Cauchy-Schwarz Inequality <proof, applications, covariance Inequality> Chebyshev Inequality Chebyshev Inequality is one of the most important inequalities highly based on Markov's Inequality.It is easier to memorize 2nd notation to apply. proof you can easily have Chebyshev Inequality by using applications of Markov's Inequality so if you want to perfectly understand the Inequality I recognize you to study Markov's Inequality [Statistics] - Markov's Inequality 마르코프.. 2020. 7. 26. Markov's Inequality 마르코프 부등식 Markov's Inequality Markov's Inequality is one of the most important and basic Inequalities. You can find the upper bound of probability that nonnegative random variable(X) is equal or greater than a positive constant(C). P(g(X)≥C) ≤ E(g(X))/C g(X): nonnegative function C: any positive constant 2020. 7. 23. 이전 1 다음 반응형
