A Bayesian model for individual insurance claims is proposed which accounts the multivariate multilevel features of claims, including multiple claimants same event, each whom may receive benefits under different coverages. approach makes it possible to account missing values in covariates and partial information contained open files, thereby avoiding sampling bias induced when unsettled are ign...

Parameter estimates from commonly used multivariable parametric survival regression models do not directly quantify differences in years of life expectancy. Gaussian linear regression models give results in terms of absolute mean differences, but are not appropriate in modeling life expectancy, because in many situations time to death has a negative skewed distribution. A regression approach us...

Bolt and Tieman (2008) suggested that profit function non-concavities may account for the prevalence of skewed pricing by two-sided platform businesses. In the Rochet-Tirole (2003) model, however non-concavity is not necessary for highly skewed pricing. Ubiquitous high pass-through rates are sufficient but implausible. In the Armstrong (2006) model, non-concavity is neither necessary nor suffic...

Skewed symmetric distributions have attracted a great deal of attention in the last few years. One of them, the skewed t distribution suffers from limited applicability because of the lack of finite moments. This note proposes an alternative to the skewed t distribution, which we refer to as skewed truncated t distribution. It is defined by the pdf f(z) = 2g(x)G(Ax), where g(.) and G(.) are tak...

The skewed-associative cache achieves low miss rates with limited associativity by using inter-bank dispersion, the ability to disperse blocks over many sets in one bank if they map to the same set in another bank. This paper formally defines the degree of inter-bank dispersion and argues that high inter-bank dispersion conflicts with common micro-architectural designs in which the skewed-assoc...

The extraction of text in an image is a classical problem in the computer vision. Extraction involves detection, localization, tracking, extraction, enhancement and recognition of the text from the given image. However variation of text due to difference in size, style, orientation, alignment, low image contrast and complex background make the problem of automatic text extraction extremely chal...

Trading surveillance systems screen and detect anomalous trades of equity, bonds, mortgage certificates among others. This is to satisfy federal trading regulations as well as to prevent crimes, such as insider trading and money laundry. Most existing trading surveillance systems are based on hand-coded expert-rules. Such systems are known to result in long developing process and extremely high...

In this paper, we present a noise-tolerant high-performance static circuit family suitable for low-voltage operation called skewed logic. Skewed logic circuits in comparison with Domino logic have better scalability and they are more suitable for low voltage applications because of better noise margins. Skewed logic and its variations have been compared with Domino logic in terms of delay, powe...

Statistical analysis of non-normal data is usually more complicated than that for normaldistribution. In this paper, a simple root/power transformation technique developed by Niaki, et al [1]is extended to transform right and left skewed distributions to nearly normal. The value of theroot/power is explored such that the skewness of the transformed data becomes almost zero with anacceptable err...