We investigate whether the confidence of management teams, defined as certainty about handling what one desires to do, affects capacity firms raise external capital. Drawing on psychology research, we run an experiment in which participants are asked assess teams 515 initial coin offerings (ICOs) by appraising their pictures. Controlling for venture and offering characteristics, find a positive...

This paper concerns the construction of confidence intervals in standard seroprevalence surveys. In particular, we discuss methods for constructing proportion individuals a population infected with disease using sample antibody test results and measurements test’s false positive negative rates. We begin by documenting erratic behavior coverage probabilities Wald percentile bootstrap when applie...

0

self-confidence is a glorious feature of an effective administrator. their main goal is the organizational success. therefore, we approached this idea by evaluating the self-confidence of nursing administration in tehran university of medical sciences (tums) teaching hospitals and its relation to vocational satisfaction of the staff.in a cross-sectional study, we interviewed 200 nursing adminis...

This paper presents exact joint confidence regions for the parameters of the Rayleigh distribution based on record data. By providing some appropriate pivotal quantities, we construct several joint confidence regions for the Rayleigh parameters. These joint confidence regions are useful for constructing confidence regions for functions of the unknown parameters. Applications of the joint confid...

It is a common and useful task in a web of trust to evaluate the trust value between two nodes using intermediate nodes. This technique is widely used when the source node has no experience of direct interaction with the target node, or the direct trust is not reliable enough by itself. If trust is used to support decision-making, it is important to have not only an accurate estimate of trust, ...

Confidence-Weighted linear classifiers (CW) and its successors were shown to perform well on binary and multiclass NLP problems. In this paper we extend the CW approach for sequence learning and show that it achieves state-of-the-art performance on four noun phrase chucking and named entity recognition tasks. We then derive few algorithmic approaches to estimate the prediction’s correctness of ...

Interval estimates - estimates of parameters that include an allowance for sampling uncertainty - have long been touted as a key component of statistical analyses. There are several kinds of interval estimates, but the most popular are confidence intervals (CIs): intervals that contain the true parameter value in some known proportion of repeated samples, on average. The width of confidence int...