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正态模型中的筛选AI 解读

SUMMARY An individual is deemed ‘successful’ if the value of a certain measurement of interest Y lies in some given specification region. In situations in which Y is difficult to measure, the individuals may be screened using a correlated variable X which is easier to measure. The motivation behind screening is to try to increase the proportion of 'successes' by eliminating those individuals who are unlikely to be successful. Most approaches, except for very large sample…

预测分析中的渐近推断AI 解读

An asymptotic approach to inference problems in prediction analysis is discussed. An approximation for the Bayesian predictive distribution is derived and a correspondence with a classical method noted. A comparative example is given for the exponential model.

预测分析的渐近方法AI 解读

An asymptotic approach to inference problems in prediction analysis is discussed. An approximation for the Bayesian predictive distribution is derived and a correspondence with a classical method noted. A comparative example is given for the exponential model.

线性损失下位置与尺度参数的区间估计AI 解读

A decision-theory approach to the estimation, by interval or point, of location and scale parameters based on a piecewise-linear loss function is presented. Of particular interest is the simple relationship of the equivalent confidence coefficient of the emerging interval estimators to the constants of the loss function.

位置与尺度参数的线性损失区间估计AI 解读

Estimation, in both theory and practice, tends to be divided into two almost distinct branches. On the one hand, point estimation, by providing a working value for the unknown true parameter value, is undoubtedly useful in further investigations of the given situation although its reliability may be difficult to assess in real terms through the medium of the estimated standard error. On the other hand, confidence interval estimation, by presenting a whole set of more or less…