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121.
Mahdi Rasekhi Rahim Chinipardaz Sayed Mohammad Reza Alavi 《Statistical Methods and Applications》2016,25(3):375-394
The skew normal distribution of Azzalini (Scand J Stat 12:171–178, 1985) has been found suitable for unimodal density but with some skewness present. Through this article, we introduce a flexible extension of the Azzalini (Scand J Stat 12:171–178, 1985) skew normal distribution based on a symmetric component normal distribution (Gui et al. in J Stat Theory Appl 12(1):55–66, 2013). The proposed model can efficiently capture the bimodality, skewness and kurtosis criteria and heavy-tail property. The paper presents various basic properties of this family of distributions and provides two stochastic representations which are useful for obtaining theoretical properties and to simulate from the distribution. Further, maximum likelihood estimation of the parameters is studied numerically by simulation and the distribution is investigated by carrying out comparative fitting of three real datasets. 相似文献
122.
This paper proposes a new factor rotation for the context of functional principal components analysis. This rotation seeks to re-express a functional subspace in terms of directions of decreasing smoothness as represented by a generalized smoothing metric. The rotation can be implemented simply and we show on two examples that this rotation can improve the interpretability of the leading components. 相似文献
123.
Estimation of the time-average variance constant (TAVC) of a stationary process plays a fundamental role in statistical inference for the mean of a stochastic process. Wu (2009) proposed an efficient algorithm to recursively compute the TAVC with \(O(1)\) memory and computational complexity. In this paper, we propose two new recursive TAVC estimators that can compute TAVC estimate with \(O(1)\) computational complexity. One of them is uniformly better than Wu’s estimator in terms of asymptotic mean squared error (MSE) at a cost of slightly higher memory complexity. The other preserves the \(O(1)\) memory complexity and is better then Wu’s estimator in most situations. Moreover, the first estimator is nearly optimal in the sense that its asymptotic MSE is \(2^{10/3}3^{-2} \fallingdotseq 1.12\) times that of the optimal off-line TAVC estimator. 相似文献
124.
Both approximate Bayesian computation (ABC) and composite likelihood methods are useful for Bayesian and frequentist inference, respectively, when the likelihood function is intractable. We propose to use composite likelihood score functions as summary statistics in ABC in order to obtain accurate approximations to the posterior distribution. This is motivated by the use of the score function of the full likelihood, and extended to general unbiased estimating functions in complex models. Moreover, we show that if the composite score is suitably standardised, the resulting ABC procedure is invariant to reparameterisations and automatically adjusts the curvature of the composite likelihood, and of the corresponding posterior distribution. The method is illustrated through examples with simulated data, and an application to modelling of spatial extreme rainfall data is discussed. 相似文献
125.
In analyzing interval censored data, a non-parametric estimator is often desired due to difficulties in assessing model fits. Because of this, the non-parametric maximum likelihood estimator (NPMLE) is often the default estimator. However, the estimates for values of interest of the survival function, such as the quantiles, have very large standard errors due to the jagged form of the estimator. By forcing the estimator to be constrained to the class of log concave functions, the estimator is ensured to have a smooth survival estimate which has much better operating characteristics than the unconstrained NPMLE, without needing to specify a parametric family or smoothing parameter. In this paper, we first prove that the likelihood can be maximized under a finite set of parameters under mild conditions, although the log likelihood function is not strictly concave. We then present an efficient algorithm for computing a local maximum of the likelihood function. Using our fast new algorithm, we present evidence from simulated current status data suggesting that the rate of convergence of the log-concave estimator is faster (between \(n^{2/5}\) and \(n^{1/2}\)) than the unconstrained NPMLE (between \(n^{1/3}\) and \(n^{1/2}\)). 相似文献
126.
127.
Following up on a research note by Stephen Moore published in 1985, this article compares the results of the survey conducted
in 1985 against one carried out in 2006 on the views of eminent social scientists (economists, political scientists, psychologists,
sociologists, historians and anthropologists) on immigration issues. Specifically, the surveys report on whether the respondents
are likely to favor an increase in the number of immigrants who are allowed into the United States and other issues such as
whether immigrants improve the economy.
Rita J. Simon is a sociologist who earned her doctorate at the University of Chicago. She is currently a “University Professor” in the School of Public Affairs and the Washington College of Law at American University, Washington, DC. Professor Simon has authored 37 books and edited 19 including: Immigration the World Over with James P. Lynch. She served as editor of The American Sociological Review and from 1983–1986 as editor of Justice Quarterly. In 1966, she received a Guggenheim Fellowship. Jennifer Kanaan is a doctoral candidate in Justice, Law and Society at American University in Washington, DC. 相似文献
Rita J. SimonEmail: |
Rita J. Simon is a sociologist who earned her doctorate at the University of Chicago. She is currently a “University Professor” in the School of Public Affairs and the Washington College of Law at American University, Washington, DC. Professor Simon has authored 37 books and edited 19 including: Immigration the World Over with James P. Lynch. She served as editor of The American Sociological Review and from 1983–1986 as editor of Justice Quarterly. In 1966, she received a Guggenheim Fellowship. Jennifer Kanaan is a doctoral candidate in Justice, Law and Society at American University in Washington, DC. 相似文献
128.
Sima Zalcberg 《Gender Issues》2007,24(3):13-34
Women’s modesty norms are often perceived as governing women’s bodies and as patriarchal oppression. This study challenges
these perspectives, offering a deeper, multi-dimensional picture showing that the reality of the women’s life is much more
complicated. The article chose to discuss aspects of modesty among women of one of the most extreme Jewish ultra-Orthodox
groups, and in particular, to investigate how they experience an extremely demanding requirement—shaving off the hair on their
head upon marriage and covering their head with a black kerchief. The findings show that there are a variety of voices among
the women, ranging from the view that these practices are desirable, through the view that they empower the women, to the
view that they damage one’s attractiveness and are quite painful.
相似文献
Sima ZalcbergEmail: |
129.
Orit Avishai 《Qualitative sociology》2007,30(2):135-152
Drawing on interviews with twenty-five mostly white, educated, work-force experienced and class-privileged mothers, this paper
explores how these women construct the lactating body as a carefully managed site and breast-feeding as a project—a task to
be researched, planned, implemented, and assessed, with reliance on expert knowledge, professional advice, and consumption.
The framing of breast-feeding as a project contrasts with the emphases on pleasure, embodied subjectivity, relationality,
and empowerment that characterizes much of the recent breast-feeding literature across the humanities and social sciences.
I argue that the project frame sheds light on the amount of work and self-discipline involved in compliance with broader middle-class
mothering standards set in the consumerist, technological, medicalized, and professionalized contexts that shape parenting
in late capitalist America.
相似文献
Orit AvishaiEmail: |
130.
Orit Nuttman-Shwartz 《Clinical Social Work Journal》2007,35(4):237-244
One essential dilemma for modern clinical social work involves the relationship between the processes taking place inside
the self and the social, cultural, and political developments affecting a person from the outside. The group-analysis approach
focuses on four levels of relationships and communication within the group, among others a primordial level of shared myths,
archetypical images, and the collective unconscious as an important component of psychotherapy. This article describes group-analysis
therapy with women, analyzing a therapeutic process that used social myths to explore the formative institutionalization processes
participants had undergone, thereby expanding themselves, growing, and changing.
相似文献
Orit Nuttman-ShwartzEmail: Email: |