Detecting the Relationship Between Summer Rainfall Anomalies in Eastern China and the SSTA in the Global Domain with a New Significance Test Method

It is suggested that the multiple samples in a correlation map or a set of correlation maps should be examined with significance tests as per the Bernoulli probability model. Therefore, both the contemporaneous and lag correlations of summertime precipitation R in any one of the three regions of Northern China （NC）, the Changjiang-Huaihe River Valley （CHRV）, and Southern China （SC） with the SSTA in the global domain have been tested in the present article, using our significance test method and the method proposed by Livezey and Chen （1983） respectively. Our results demonstrate that the contemporaneous correlations of sum- mer R in CHRV with the SSTA are larger than those in NC. Significant correlations of SSTA with CHRV R are found to be in some warm SST regions in the tropics, whereas those of SSTA with NC R, which are opposite in sign as compared to the SSTA-CHRVR correlations, are found to be in some regions where the mean SSTs are low. In comparison with the patterns of the contemporaneous correlations, the 1 to 12 month lag correlations between NC R and SSTA, and those between CHRV summer R and SSTA show similar patterns, including the magnitudes and signs, and the spatial distributions of the coefficients. However, the summer rainfall in SC is not well correlated with the SSTA, no matter how long the lag interval is. The results derived from the observations have set up a relationship frame connecting the precipitation anomalies in NC, CHRV, and SC with the SSTA in the global domain, which is critically useful for our understanding and predicting the climate variabilities in different parts of China. Both NC and CHRV summer R are connected with E1 Nifio events, showing a ‘- -＇pattern in an E1 Nifio year and a‘＋ ＋＇ pattern in the subsequent year. Key words summer precipitation; eastern China; global sea surface

Modeling Interstate Banking in the United States: the Spatial 3-Stage Least Squares Approach

This study uses a spatial 3-stage least squares approach to model interstate banking of the United States in 1994 and 2014.The method simultaneously takes into account spatial dependence,outward and inward interstate banking and their interaction,and the temporal effects in interstate banking.The study shows that a healthy economic structure,an expanding market,and permissive banking legislation encourage inward interstate banking.A healthy economic structure is a basis for strong banking firms to rise and to expand in other states.Large banking institutions were dominate in outward interstate banking while smaller firm sizes tend to be associated with inward interstate banking.By 2014,large and well-capitalized banking firms from states with a healthy economic structure had expanded into states with lower income levels,and lower capital-to-labor ratios,higher labor resource use,and lower profitability in their banking industry.Evidence shows some banking geographical fragmentation remains.

Sports and Public Space: Volleyball Practice inCopacabana and Carcavelos/Cascais Beaches

The aim of this paper is to analyze volleyball practice in the beaches of Copacabana(Rio de Janeiro,Brazil)and Carcavelos and Cascais Bay(Cascais,Portugal)and to review the forms of appropriation of public space based on public policies and rules of the sport in question.Our methodology rests on bibliographic review and ethnographic research to map and distinguish the results in two spatial and cultural contexts that are considerably diverse.Results show that even with greater extension of Copacabana beach in comparison with Cascais,volleyball has a relevant impact in both areas.The installation of the necessary equipment for volleyball practice is also a form of impact in the landscape and establishment of territoriality,which is mainly activated when the game happens.

Contemporary Expansion of Chinese Landscape Painting

Since ancient times,Chinese literati have a special dependence and belief in landscape painting,Since ancient times,Chinese literati have a special dependence and belief in landscape painting,Confucius’theory puts forward that“benevolent people enjoy mountains,wise people enjoy water”.The artistic form of landscape theme is the world outlook and outlook on life condensed by Chinese literati in thousands of years of social changes,and the way to view the way of the universe.This paper discusses how to innovate and expand the form of Chinese landscape painting in the contemporary context,how to effectively convey the painter’s feelings and ideas in the performance,and how to accept and recognize Chinese landscape painting on the international stage.The inheritance and innovation of Chinese landscape painting needs painters to have a keen sense of people’s psychological deficiencies and spiritual demands in this era,to refine the social cognitive level in life,to separate from the surface form that interferes with vision,to go deep into the nature of the problem,to find a way out of the Predicament and to achieve transcendence,to achieve“two forgets of things and one forgetting of man and nature”,and to lead the audience with Chinese landscape painting Enter the pure spiritual world to resist the impetuosity and alienation caused by the rapid pace of life in the era of information technology.

Efcient Estimation of Varying Coefcient Seemly Unrelated Regression Model

In this paper, we propose a class of varying coefficient seemingly unrelated regression models, in which the errors are correlated across the equations. By applying the series approximation and taking the contemporaneous correlations into account, we propose an efficient generalized least squares series estimation for the unknown coefficient functions. The consistency and asymptotic normality of the resulting estimators are established. In comparison with the ordinary/east squares ones, the proposed estimators are more efficient with smaller asymptotical variances. Some simulgtlon＇studies and a real application are presented to demonstrate the finite sample performance of the proposed methods. In addition, based on a B-spline approximation, we deduce the asymptotic bias and variance of the proposed estimators.

Statistical Inference on Seemingly Unrelated Single-Index Regression Models

In this article, we consider a class of seemingly unrelated single-index regression models. By taking the contemporaneous correlation among equations into account we construct the weighted estimators （WEs） for unknown parameters of the coefficients and the improved local polynomial estimators for the unknown functions, respectively. We establish the asymptotic normalities of these estimators, and show both of them are more asymptotically efficient than those ignoring the contemporaneous correlation. The performances of the proposed procedures are evaluated through simulation studies.