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961.
John E. Angus 《统计学通讯:理论与方法》2013,42(12):4413-4419
Arnold and Strauss (1988) derived a family of bivariate life distributions having the property that the conditional distributions are exponential. Asymptotic distributions for the marginal and bivariate extremes for this family of distributions are derived employing the asymptotic theory of extreme order statistics. 相似文献
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A set of Fortran-77 subroutines is described which compute a nonparametric density estimator expressed as a Fourier series. In addition, a subroutine is given for the estimation of a cumulative distribution. Performance measures are given based on samples from a Weibull distribution. Due to small size and modest space demands, these subroutines are easily implemented on most small computers. 相似文献
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We consider the issue of sampling from the posterior distribution of exponential random graph (ERG) models and other statistical models with intractable normalizing constants. Existing methods based on exact sampling are either infeasible or require very long computing time. We study a class of approximate Markov chain Monte Carlo (MCMC) sampling schemes that deal with this issue. We also develop a new Metropolis–Hastings kernel to sample sparse large networks from ERG models. We illustrate the proposed methods on several examples. 相似文献
966.
Decision making theory in general, and mental models in particular, associate judgment and choice. Decision choice follows
probability estimates and errors in choice derive mainly from errors in judgment. In the studies reported here we use the
Monty Hall dilemma to illustrate that judgment and choice do not always go together, and that such a dissociation can lead
to better decision-making. Specifically, we demonstrate that in certain decision problems, exceeding working memory limitations
can actually improve decision choice. We show across four experiments that increasing the number of choice alternatives forces
people to collapse choices together, resulting in better decision-making. While choice performance improves, probability judgments
do not change, thus demonstrating an important dissociation between choice and probability judgments. We propose the Collapsing
Choice Theory (CCT) which explains how working memory capacity, probability estimation, choice alternatives, judgment, and
regret all interact and effect decision quality.
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There is little documentation in the literature of how to conduct a data audit of laboratory research. The purpose of such an audit is to verify the extent to which the published data agree with the corresponding laboratory notebook data and whether the data thus examined appear to be sufficient to justify the published conclusions. A case study is presented, which demonstrates a step by step approach towards conducting a data audit of a published research study. 相似文献