Discrete random variables

In this paper, we will present a probabilistic method to prove the weighted general AM-QM inequality and show that the classical AMQM inequality is a special case of the generalized AM-QM inequality with equal weights.

7p viaburame 14-03-2025 3 0   Download

Lectures "Applied statistics for business - Chapter 5: Discrete probability distributions" provides students with the knowledge: Random variables, developing discrete probability distributions, expected value and variance, expected value and variance financial portfolios,... Invite you to refer to the disclosures.

34p doinhugiobay_13 26-01-2016 57 3   Download

Lecture "Probability & statistics - Chapter 5: Discrete probability" has contents: Random variable, probability distribution, expected value, variance – standard deviation, bivariate probability, binomial distribution.

21p abcxyz123_07 19-03-2020 39 2   Download

Chapter 5 - Discrete random variables. After mastering the material in this chapter, you will be able to: Explain the difference between a discrete random variable and a continuous random variable, find a discrete probability distribution and compute its mean and standard deviation, use the binomial distribution to compute probabilities,...

12p whocare_b 05-09-2016 71 3   Download

Let A be an n × n matrix, whose entries are independent copies of a centered random variable satisfying the subgaussian tail estimate. We prove that the operator norm of A−1 does not exceed Cn3/2 with probability close to 1. 1. Introduction Let A be an n × n matrix, whose entries are independent, identically distributed random variables. The spectral properties of such matrices, in particular invertibility, have been extensively studied (see, e.g. [M] and the survey [DS]).

28p dontetvui 17-01-2013 54 8   Download