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This paper proposes iterative Bayesian method to estimate success probability based on unique sample. The procedure is replacing the distribution characteristic of prior with Bayes estimate on the eve...
In this paper, we introduce a modified test statistic, by applying moving average method and present a new cdf estimator to estimate the joint entropy of the type-II censored data. We also establish a...
In the Conjoint Analysis (COA) model proposed here – a new approach to estimate more than one response function–an extension of the traditional COA, the polytomous response variable (i.e. evaluation o...
Many statistical problems involve mixture models and the need for computationally efficient methods to estimate the mixing distribution has increased dramatically in recent years. Newton [Sankhya Ser....
Many statistical problems involve mixture models and the need for computationally efficient methods to estimate the mixing distribution has increased dramatically in recent years. Newton [Sankhya Ser....
This paper introduces the application of real estate pricing DP DEA - Double Perspective Data - Envelopment Analysis to solve the LOOP (Law of One Price) arbitrage. A general equilibrium model of real...
In biomedical studies, researchers are often interested in assessing the association between one or more ordinal explanatory variables and an outcome variable, at the same time adjusting for covariate...
The main result of this paper is a new exact algorithm computing the estimate given by the Least Trimmed Squares (LTS). The algorithm works under very weak assumptions. To prove that, we study the r...
In the paper we prove the lower bound estimate ¸D 2 −¸D 1 ­ c(¸D 1 )−d=®(diamD)−d−® for the spectral gap of the Dirichlet fractional Laplacia...
We deal with the estimation of the regime number in a linear Gaussian autoregressive process with a Markov regime (AR-MR). The problem of estimating the number of regimes in this type of series is tha...
Metric entropy of the class of probability distribution functions on [0,1] with a k-monotone density is studied through its connection with the small ball probability of k-times integrated Brownian mo...
We consider the problem of estimating the unconditional distribution of a post-model-selection estimator.The notion of a post-model-selection estimator here refers to the combined procedure resulting ...
We consider the problem of estimating the conditional distribution of a post-model-selection estimator where the conditioning is on the selected model. The notion of a post-model-selection estimator...
We prove uniform convergence results for the integrated periodogram of a weakly dependent time series,namely a law of large numbers and a central limit theorem. These results are applied toWhittle’s p...

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