胡适的文学自然进化论

胡适文学革命思想的核心是文学的进化论。胡适认为文学像生物进化一样有自然演变进化的过程,因而不同的时代必定有不同的文学。文学的演变进化有两条规律:一是文学的自然进化,一是文学的接触进化。文学自然趋势的逐渐实现便是文学的自然进化。白话文学是文言文学自然进化的结果。在文学的自然进化过程中,文学的内容是随着时代的不同而必定自然的演化,而内容的自然演进必定影响形式的自然进化,所以一个时代有一个时代的文学。在文学自然进化的过程中,有时也需要人力的督促才能加快文学的自然演进,人力的督促便是文学革命。     

The exponentiated reduced Kies distribution: Properties and applications

Here we consider an exponentiated version of the reduced Kies distribution and discuss some of its properties. The parameters of the distribution are estimated by the method of maximum likelihood and illustrated with the help of certain real-life data sets. Asymptotic behavior of the maximum likelihood estimators of the parameters of the distribution is also studied by using certain simulated data sets.     

Schematic saturated orthogonal arrays obtained by using the contractive replacement method

This paper presents a general method of constructing schematic saturated orthogonal arrays of strength two. We consider a class of mixed saturated orthogonal arrays produced from saturated symmetric orthogonal arrays by using the contractive replacement method, study the Hamming distances of the rows, construct their association schemes, and prove that they are schematic. Some examples are given to illustrate this construction method.     

Outliers in incomplete multiresponse experiments

Identification of outlier vectors in block designs for incomplete multiresponse experiments has been considered. Design is composed of two sets of experimental units. Different numbers of response variables are observed from these two sets. Cook-statistic has been developed for identification of outliers. The developed statistic has been illustrated with a real-life data set. It has been shown that presence of outliers can distort the overall conclusion from an experiment.     

Bayesian inference for the parameters of Weibull distribution under progressive Type-I interval censored data with beta-binomial removals

This article considers the problem of estimating the parameters of Weibull distribution under progressive Type-I interval censoring scheme with beta-binomial removals. Classical as well as the Bayesian procedures for the estimation of unknown model parameters have been developed. The Bayes estimators are obtained under SELF and GELF using MCMC technique. The performance of the estimators, has been discussed in terms of their MSEs. Further, expression for the expected number of total failures has been obtained. A real dataset of the survival times for patients with plasma cell myeloma is used to illustrate the suitability of the proposed methodology.     

On some aspects of a generalized alternative zero-inflated logarithmic series distribution

Here, we consider a generalized form of the alternative zero-inflated logarithmic series distribution of Kumar and Riyaz (J. Statist. Comp. Simul., 2015) and study some of its important aspects. The parameters of the distribution are estimated by the method of maximum likelihood and some test procedures are developed for testing the significance of the additional parameter of the model. All these estimation and testing procedures are illustrated with the help of certain real life datasets. A simulation study is also carried out for assessing the performance of the estimators.     

Optimum designs for parameter estimation in a mixture experiment with two correlated responses

In this paper, we investigate a mixture problem with two responses, which are functions of the mixing proportions, and are correlated with known dispersion matrix. We obtain D- and A-optimal designs for estimating the parameters of the response functions, when none or some of the regression coefficients of the two functions are the same. It is shown that when no prior knowledge about the regression coefficients is available, the D-optimal design is independent of the dispersion matrix, while the A-optimal design depends on it, provided the response functions are of different degree. On the other hand, when some of the regression coefficients are known to be the same for both the functions, the D-optimal design depends on the dispersion matrix when the two response functions are not of the same degree.     

The immigration issue in Assam and conflicts around it

Assam, the northeastern state of India, has experienced strong anti-outsider sentiment for more than half a century now. What makes the Assam case unique is that it has faced both internal as well as illegal international migration in massive scales giving rise to intense existential fear and apprehension among its smaller indigenous communities. Their lack of the required political authority and the indifferent attitude of the Indian Union government in addressing the issue have only multiplied its magnitude. The article explicates the politico-economic dynamics of the immigration issue in Assam and the social tension and conflicts around it in a historical perspective and suggests that a multi-pronged approach backed by strong political will is imperative to negotiate the challenges of immigration in the state in an effective manner.     

我国高校校园体育文化建设机制研究

建设机制对高校校园体育文化建设的效果起着决定性作用,因此,对高校品牌形象的塑造具有重要意义。文章运用文献资料法以及个案分析法,对高校校园体育文化建设机制要素进行了梳理与剖析,总结了我国高校校园体育文化建设机制的成功经验,并对如何进行我国高校校园体育文化建设提出了建议。     

DECISION TIME,CONSIDERATION TIME,AND STATUS QUO BIAS

Economists increasingly appreciate the value of studying the time taken to make decisions in order to provide insights into decision makers' choices. This article shows that studying how time is allocated among individual options is also valuable in helping researchers to understand the impact default options have on decision makers' attention allocation, as approximated by how the time is allocated. The study of this impact generates new insights into the well‐known choice phenomenon of status quo bias, which typically refers to decision makers' tendency to stick to a default option. By designing a series of novel experiments, I find that this bias arises even when the choice is among prizes of fixed monetary value expressed in arithmetic form. I also find asymmetric attention (i.e., more time devoted to default options) and strikingly asymmetric choice errors; specifically, decision makers fail to select an alternative better than the default 28% of the time, while they incorrectly select an alternative worse than the default only 11% of the time; and provide evidence supporting a causal relationship between asymmetric attention and asymmetric errors. (JEL D03, D12, D83)