The Experts below are selected from a list of 1716 Experts worldwide ranked by ideXlab platform
Winai Bodhisuwan - One of the best experts on this subject based on the ideXlab platform.
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Stochastic Orders Comparisons of Negative Binomial Distribution with Negative Binomial—Lindley Distribution
Open Journal of Statistics, 2012Co-Authors: Chookait Pudprommarat, Winai BodhisuwanAbstract:The purpose of this study is to compare a negative Binomial distribution with a negative Binomial—Lindley by using stochastic orders. We characterize the comparisons in usual stochastic order, likelihood ratio order, convex order, expectation order and uniformly more Variable order based on theorem and some numerical example of comparisons between negative Binomial Random Variable and negative Binomial—Lindley Random Variable
Chookait Pudprommarat - One of the best experts on this subject based on the ideXlab platform.
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Stochastic Orders Comparisons of Negative Binomial Distribution with Negative Binomial—Lindley Distribution
Open Journal of Statistics, 2012Co-Authors: Chookait Pudprommarat, Winai BodhisuwanAbstract:The purpose of this study is to compare a negative Binomial distribution with a negative Binomial—Lindley by using stochastic orders. We characterize the comparisons in usual stochastic order, likelihood ratio order, convex order, expectation order and uniformly more Variable order based on theorem and some numerical example of comparisons between negative Binomial Random Variable and negative Binomial—Lindley Random Variable
Jan Ramon - One of the best experts on this subject based on the ideXlab platform.
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A lower bound on the probability that a Binomial Random Variable is exceeding its mean
Statistics & Probability Letters, 2016Co-Authors: Christos Pelekis, Jan RamonAbstract:We provide a lower bound on the probability that a Binomial Random Variable is exceeding its mean. Our proof employs estimates on the mean absolute deviation and the tail conditional expectation of Binomial Random Variables.
Weizhen Wang - One of the best experts on this subject based on the ideXlab platform.
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A note on bootstrap confidence intervals for proportions
Statistics & Probability Letters, 2013Co-Authors: Weizhen WangAbstract:We first show that any 1−α bootstrap percentile confidence interval for a proportion based on a Binomial Random Variable has an infimum coverage probability zero for any sample size. This result is then extended to intervals for the difference, the relative risk and the odds ratio of two proportions as well as other types of bootstrap intervals.
Benjamin Doerr - One of the best experts on this subject based on the ideXlab platform.
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An elementary analysis of the probability that a Binomial Random Variable exceeds its expectation
Statistics & Probability Letters, 2018Co-Authors: Benjamin DoerrAbstract:Abstract We give an elementary proof of the fact that a Binomial Random Variable X with parameters n and 0 . 29 ∕ n ≤ p 1 with probability at least 1 ∕ 4 strictly exceeds its expectation. We also show that for 1 ∕ n ≤ p 1 − 1 ∕ n , X exceeds its expectation by more than one with probability at least 0.0370. Both probabilities approach 1 ∕ 2 when n p and n ( 1 − p ) tend to infinity.