Results 21 to 30 of about 9,117 (218)
Bayesian statistics and Monte Carlo methods
The Bayesian approach allows an intuitive way to derive the methods of statistics. Probability is defined as a measure of the plausibility of statements or propositions. Three rules are sufficient to obtain the laws of probability.
Koch K. R.
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Statistical Hypothesis Testing for Asymmetric Tolerance Index
Many of the nominal-the-best quality characteristics of important machine tool components, such as inner or outer diameters, have asymmetric tolerances. An asymmetric tolerance index is a function for the average of the process and the standard deviation.
Kuen-Suan Chen +3 more
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Scheffé-type Confidence Region for the Calibration Line
Analyzed is the comparative calibration problem in the case when linear relationship is assumed between two considered measuring devices. The method deriving the approximate confidence region for the unknown parameters of the calibration line based on ...
Gejza Wimmer, Viktor Witkovský
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A vibrant financial sector has a lot to offer towards the growth and development of an economy. It is in this regard that investor confidence matters most to the sector.
Paul Hammond +2 more
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In this paper, we investigate a partially single-index varying-coefficient model, and suggest two empirical log-likelihood ratio statistics for the unknown parameters in the model.
Xiang Xing, Liu Wanrong
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Simultaneous confidence regions for multivariate bioequivalence [PDF]
Demonstrating bioequivalence of several pharmacokinetic (PK) parameters, such asAUCandCmax, that are calculated from the same biological sample measurements is in fact a multivariate problem, even though this is neglected by most practitioners and regulatory bodies, who typically settle for separate univariate analyses.
Philip Pallmann, Thomas Jaki
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Value at Risk (VaR) is used to illustrate the maximum potential loss under a given confidence level, and is just a single indicator to evaluate risk ignoring any information about income.
Wanbing Zhang, Sisi Zhang, Peibiao Zhao
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Summary To test a hypothesis that a parameter has value θ* we usually ask whether an observation falls in a critical region of the outcome space. It is well known that, by a suitable choice of confidence region, an equivalent test is to ask whether θ* lies outside the confidence region.
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Robust confidence regions for incomplete models [PDF]
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Larry G. Epstein +2 more
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In this paper, we study the estimation problems for the generalized inverted exponential distribution based on progressively type-II censored order statistics and record values.
Ismail Kınacı +2 more
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