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Traditional multilevel model assumed independence between groups. Datasets are different from traditional hierarchical data when it is grouped by geographical units. The individual is influenced by not only its region but also the adjacent regions. It could include spatial dependence between groups. Therefore, it is necessary to build a new model and estimation method. In this paper, spatial statistics...
From an evolutionary perspective, a body of research is an evolving ecosystem, consisting of research topics subjected to a form of natural selection as topics come into existence, and thrive more or less over a variable period of time. Identifying the form of establishment of a given topic in a scientific domain, in terms of its momentum at the time of inquiry, can provide useful insights into where...
Based on the framework of non-parametric approach, the new jump variance and continuous sample path variance are constructed and the jump variance is modeled by combining A-J jump detection statistic. With high frequency data from Shanghai composite index, the empirical analyses are carried out from four aspects: the characteristics and contribution of jump variance, jump sizes and the relationship...
In the present study, we use the concept of the straight coupon bond pricing model proposed by Tsuda (2006) to estimate a price evaluation model for investment corporation bonds: bonds issued by investment corporations for the purpose of raising funds. This model obtains credit risk information, such as default probability, from the market prices of bonds. The model simultaneously estimates implied...
When it was originally introduced, Partial Least Squares (PLS) was designed primarily for exploratory studies focusing on prediction (rather than hypothesis testing). Over time, however, PLS has become a very popular statistical analysis technique for testing hypothesized relationships (confirmatory studies) within MIS research. In this paper we note some challenges that have been raised relative...
This paper evaluates heterogeneous information fusion using multi-task Gaussian processes in the context of geological resource modeling. Specifically, it empirically demonstrates that information integration across heterogeneous information sources leads to superior estimates of all the quantities being modeled, compared to modeling them individually. Multi-task Gaussian processes provide a powerful...
As social networking is moving into the web, the study and exploitation of social correlation has emerged as a hot research topic. Most of these work consider binary social relations, called "friendships". However, online users tend to establish many friendships of varying degree of strength, e.g., relatives, friends, co-workers, and acquaintances. We argue that, due to their different degree...
Information management systems today face a tremendous challenge considering the growing popularity of social media repositories involving images and video. Considering the growing volume of multimedia content in such online media-sharing communities there is an increasing need for novel ways of organizing content. In this paper we consider the problem of organizing images in a given Flickr Group...
The feasibility of using guava waste activated carbon (GWAC) for the methylene blue (MB) adsorption has been investigated. The GWAC was prepared using simple thermochemical activation method. The comparison on adsorption performance between GWAC and commercial activated carbon (CAC) were conducted using the batch adsorption study to determine the adsorption capacity for both adsorbents. The adsorption...
This paper proposes a structural classification based correlation and application to principal component analysis (PCA) for high-dimension low-sample size (HDLSS) data. The structural classification based correlation consists of two kinds of correlations; correlation of objects over variables and correlation of classification structures of objects over clusters. Therefore, this correlation can measure...
This paper tests the existence of asymmetrical volatility clustering in Chinese emerging stock market and it is found that when innovation is negative, the fluctuation equation is significantly different from the model when innovation is positive. This paper discusses the volatility's asymmetrical reaction to autocorrelation of stock return and estimates the threshold value of ACF (autocorrelation...
The paper gave review on domestic and foreign research literature, methods, and conclusions about the coordination between defense spending and economic development. Balancing well the need to build a strong defense with economic development in the process of Chinese modernizing construction, the paper proposed an evaluation index system, as well as an assessment model. The paper also presented some...
An Alzheimer's fMRI study has motivated us to evaluate inter-regional correlations between groups. The overall objective is to assess inter-regional correlations at a resting-state with no stimulus or task. We propose using a generalized estimating equation (GEE) transition model and a GEE marginal model to model the within-subject correlation for each region. Residuals calculated from the GEE models...
The kinetic, equiLibrium and thermodynamics of Cr(VI) adsorption from aqueous solution on cetylpyridinium bromide (CPB) modified zeoLite were investigated. CPB modified zeoLite displayed a good affinity to Cr(VI) in aqueous solution, and its Cr(VI) adsorption capacity decreased with the increase of the temperature. The kinetics of adsorption of Cr(VI) were discussed using the pseudo-first-order and...
The importance of value creation via customer experiences has been widely established. Providing quality products and services is no longer adequate for business sustainability since customers also need to acquire relevant satisfactory experiences. This paper aims to address the gap by empirically investigating impact of destination image on Total Tourists' Experience (TTE) and destination loyalty...
An anionic MgAlNO3 layered double hydroxides (MgAlNO3-LDH) with Mg/Al molar ratio 4∶1, was investigated for its ability to adsorb an anionic dye, Reactive Orange 16 (RO16), with the objective of evaluating its suitability as an adsorbent. The experimental data were analyzed by the Langmuir and Freundlich adsorption models. Equilibrium data fitted well with Langmuir model for the concentration range...
In order to optimize the capacity of farmers' income persistently increasing, in this paper we analyze 8 factors affecting farmers' income increasing using PLS model based on the statistical data of Heilongjiang reclamation from 2000 to 2008. The study shows that wage incomes, agricultural subsidy and tax reducing still account for a great proportion of farmers' net incomes, but the level of agricultural...
This paper presents an investigation into the performance of system identification using Backpropagation Multi-layer Perceptron Neural Networks algorithm for identification of a flexible plate system. Details of the implementation and the experimental studies are given and analyzed in the paper. The input-output data of the system were first acquired through the experimental studies using National...
Parasitic extraction is a critical task for modern nano scale semiconductor circuits which are characterized by high speed, small feature size and dense layout. Among the available extraction methodologies is the macro-modeling, which is based on dividing the circuit into smaller parts, then matching those smaller parts to a pre-defined model library whose parasitics are known. In the macro-modeling...
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