Recent work on stock splits have attempted to relate the information value associated with splits with that from dividends signaling. This paper extends this genre of research by evaluating the issue of dividend predictability using REIT data where the self-selection issue associated with...

In this paper, new estimating methods proposed for dynamic and static probit models with panel data. Simulation studies show that the proposed estimators work relatively well.

Building management ought to be of paramount importance to sustainable development. It slows down a buildingís depreciation rate, delays redevelopment needs, and reduces construction waste. Despite various benefits brought about by building management, apartment owners are, in general, not...

Rockburst is an important accident scenario in deep underground engineering. Because there are numerous, complicated factors that lead to rockbursts, their forecasting is a difficult task, which, based on an engineering analogy and geological analysis, requires the use of clustering methods in...

In this paper, we determine the eccentric connectivity index and augmented eccentric connectivity index of fan graph, wheel graph, gear fan graph, gear wheel graph and their r-corona graphs.

Shanghai is a low-lying city (3–4 m elevation) surrounded on three sides by the East China Sea, the Yangtze River Estuary, and Hangzhou Bay. With a history of rapid changes in sea level and land subsidence, Shanghai is often plagued by extreme typhoon storm surges. The interaction of sea...

Regression analysis of the odds ratios for sparse data has received a lot of attention. However, existing works are restricted to the parametric case, and a parametric model may be a misspecification, which may lead to biased and inefficient estimators. Little attention is received for...

type="main" xml:id="sjos12057-abs-0001" <title type="main">ABSTRACT</title>Motivated by an entropy inequality, we propose for the first time a penalized profile likelihood method for simultaneously selecting significant variables and estimating unknown coefficients in multiple linear regression models in this article. The...