[Employment Discrimination and Statistical Science]: Comment: Statistical Science and Economic Science

on some bayesian statistical models in actuarial science with emphasis on claim count

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Statistical Sensitiveness for Science

Research often necessitates of samples, yet obtaining large enough samples is not always possible. When it is, the researcher may use one of two methods for deciding upon the required sample size: rules-of-thumb, quick yet uncertain, and estimations for power, mathematically precise yet with the potential to overestimate or underestimate sample sizes when effect sizes are unknown. Misestimated ...

The statistical crisis in science

There is a growing realization that reported "statistically sig nificant" claims in scientific publications are routinely mis taken. Researchers typically express the confidence in their data in terms of p-value: the probability that a per ceived result is actually the result of random variation. The value of p (for "probability") is a way of measuring the extent to which a data set provides ev...

Statistical Methods for Communication Science

Statistical Modelling in Climate Science

When it comes to modelling in atmospheric and climate science, the two main types of models are taken into account – dynamical and statistical models. The former ones have a physical basis: they utilize discretized differential equations with a set of conditions (boundary conditions + present state as an initial condition) and model the system’s state by integrating the equations forward in tim...