A comparison of some confidence intervals for a binomial proportion based on a shrinkage estimator
Confidence intervals are valuable tools in statistical practice for estimating binomial proportions, with the most well-known being the Wald and Clopper-Pearson intervals.
Almendra-Arao Félix +2 more
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Volatility filtering in estimation of kurtosis (and variance)
The kurtosis of the distribution of financial returns characterized by high volatility persistence and thick tails is notoriously difficult to estimate precisely.
Anatolyev Stanislav
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A sequential procedure is developed to construct a fixed accuracy confidence interval (CI) of the common unknown variance of the random observations, where the observations arise from a first-order stationary autoregressive (AR(1)) process with a ...
Rahul Bhattacharya +3 more
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On Fixed Accuracy Confidence Interval in Multivariate Normal Distribution with Order 1 Autoregressive Covariance Structure. [PDF]
Sarkar P +2 more
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Online inference in high-dimensional generalized linear models with streaming data. [PDF]
Luo L, Han R, Lin Y, Huang J.
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Predictive analysis for joint progressive censoring plans: a Bayesian approach. [PDF]
Ahmadi MV, Doostparast M.
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Logarithmic confidence estimation of a ratio of binomial proportions for dependent populations. [PDF]
Kokaew A +3 more
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On Representations of Divergence Measures and Related Quantities in Exponential Families. [PDF]
Bedbur S, Kamps U.
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Estimation of Tail Probabilities by Repeated Augmented Reality. [PDF]
Kedem B, Pyne S.
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Covariance estimation via fiducial inference. [PDF]
Shi WJ, Hannig J, Lai RCS, Lee TCM.
europepmc +1 more source

