The word " five " is missing from the third sentence of the fifth paragraph in the online answers to this Endgames article by Philip Sedgwick (BMJ 2014;349:g5310, doi:10.1136/bmj. g5310). The sentence should have read: " For example, the probability of a significant result when there are two, three, four, and five hypothesis tests is 0.

companies' continuity, because all companies have some relations with the society;therefore, the society provides long-term survival of the company.in this way, companies in addition to economic responsibility, must take responsibilityof social issues. therefore, with respect to corporate social responsibility andits revelations, the current paper examines the relationship between social r...

We present a novel computational model that describes action perception as an active inferential process that combines motor prediction (the reuse of our own motor system to predict perceived movements) and hypothesis testing (the use of eye movements to disambiguate amongst hypotheses). The system uses a generative model of how (arm and hand) actions are performed to generate hypothesis-specif...

This paper deals with network security assessment. We discuss currently available network security assessment tools and provide a categorization of their limitations. We revisit the methodology that the tools are based on, the flaw-hypothesis testing methodology. We then discuss the application of the methodology to network security assessment and discuss what is necessary to augment current ne...

This paper develops a formal test for consistency of players’ behavior in a series of games with the quantal response equilibrium (QRE). The test exploits a characterization of the equilibrium choice probabilities in a QRE as the gradient of a convex function, which thus satisfies the cyclic monotonicity inequalities. Our testing procedure utilizes recent econometric results for moment inequali...

If you have just two discrete hypotheses, then a hypothesis test is simply an application of Bayes’ Theorem. You check to see whether your data can reasonably be explained by that boring old null hypothesis (conventionally called H0), or not. To test H0, you need to compare it to one other model. One never tests a hypothesis in isolation; it is tested against an alternative (typically called H1...

The design and analysis of decision rules using detection theory and statistical learning theory is important because decision making under uncertainty is pervasive. Three perspectives on limiting the complexity of decision rules are considered in this thesis: geometric regularization, dimensionality reduction, and quantization or clustering. Controlling complexity often reduces resource usage ...