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It is argued that the posterior predictive distribution for the binomial and multinomial distributions,when viewed via a hypergeometric-like representa- tion, suggests the uniform prior on the param...
The paper concerns the estimation of univariabb (multivariate) linear regression parameters based on the independent normally distributed random variables (vectors) with unknown variance (p. d. cov...
An invariance principle for processes indexed by two parameters and some statistical applications。
Goodness-of-fit tests based on sums of squared components or the Cramir-von Mises statistic with a growing number d summands are studied in the case of a composite null hypothesis. The tests are se...
The MAPK/ERK pathway is one of the major signal transduction systems which regulates the cellular growth control of all eukaryotes like the cell proliferation and the apoptosis. Because of its importa...
Bayesian classication and regression with high-order interactions is largely infeasible because Markov chain Monte Carlo (MCMC) would need to be applied with a great many parameters, whose number in...
Various noninformative prior distributions have been suggested for scale parameters in hierarchical models. We construct a new folded-noncentral-t family of conditionally conjugate priors for hierar...
In this paper, we present a more direct way to compute the SzeggJacobi parameters from a generating function than that in [S] and [6]. Our study is motivated by the notions of one-mode interacting ...
We obtained estimation results concerning a progressively type-II censored sample from a two-parameter Weibull distribution. The maximum likelihood method is used to derive the point estimators of the...
We consider a sequential point estimation of the ratio of two exponential scale parameters. For a fully sequential sampling scheme, second order approximations are obtained to the expected sample size...
In this paper we consider the time-varying parameter model. Since there is no uniformly most powerful test for the constancy of parameters, the locally best invariant (LBI) test has often been conside...
This paper is concerned with estimation of the restricted parameters in location and/or scale families from a decision-theoretic point of view. A simple method is provided to show the minimaxity of th...
This paper is concerned with parameter estimation in the presence of nuisance parameters. Usually, an estimator with known nuisance parameters is better than that with unknown nuisance parameters in r...

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