This paper provides a Marcinkiewicz-Zygmund type strong law of large numbers for sequences of blockwise m-dependent random variables

Foreign Direct Investment (FDI) in China over the past 25 years has increased faster than in any other economy. The net impact upon the Chinese economy appears to be highly favorable. A major portion of that FDI has been made by overseas Chinese, with assistance from a Mainland Chinese ministry...

The varying coefficient model is an important class of nonparametric statistical model, which allows us to examine how the effects of covariates vary with exposure variables. When the number of covariates is large, the issue of variable selection arises. In this article, we propose and...

In this paper, a double-acting thermoacoustic Stirling electric generator is proposed as a new device capable of converting external heat into electric power. In the system, at least three thermoacoustic Stirling heat engines and three linear alternators are used to build a multiple-cylinder...

Traveling-wave thermoacoustic heat engine is a special device capable of converting external heat to acoustic work with high reliability and high potential efficiency. By coupling with a linear alternator, it can be further developed as a new kind of electricity generator called the...

Web-based technologies are now quite widespread, and this paper relates how traditional information and communications technologies such as those associated with SME users can be coupled with Internet technologies in offering e-business solutions. SME users are traditionally not well resourced...

This article presents a modified free-piston Stirling heat engine configuration in which a thermal buffer tube is added to sandwich between the hot and cold heat exchangers. Such a modified configuration may lead to an easier fabrication and lighter weight of a free piston. To analyze the...

A thermoacoustic heat engine (TAHE) is one kind of new power system which can simply convert heat into mechanical power in forms of acoustic wave without any moving mechanical components. This article focuses on using variable acoustical load method to study the energy conversion characteristics...

To enhance the prediction accuracy for crude oil price, a novel ensemble learning paradigm coupling complementary ensemble empirical mode decomposition (CEEMD) and extended extreme learning machine (EELM) is proposed. This novel method is actually an improved model under the effective...