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In this paper, the task of determining expected values of sample moments, where the sample members have been selected based on noisy information, is considered. This task is a recurring problem in the theory of evolution strategies. Exact expressions for expected values of sums of products of concomitants of selected order statistics are derived. Then, using Edgeworth and Cornish-Fisher approximations, explicit results that depend on coefficients that can be determined numerically are obtained. While the results are exact only for normal populations, it is shown experimentally that including skewness and kurtosis in the calculations can yield greatly improved results for other distributions. 相似文献
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De Jong GF Abad RG Arnold F Carino BV Fawcett JT Gardner RW 《The International migration review》1983,17(3):470-484
"The study compares determinants of internal and international migration intentions, drawing upon interview data from a sample of adults in Ilocos Norte, a largely rural province in the Philippines. A regression model is applied to test the relative determinants of intentions to migrate to Manila and to Hawaii. The study is based on a value-expectancy model of migration decision making. The results document the importance of subjective expectations related to the attainment of different values and goals in Manila and Hawaii." 相似文献
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Jung Yeon Park Melanie M. Wall Irini Moustaki Arnold H. Grossman 《Journal of applied statistics》2022,49(13):3361
The paper proposes a joint mixture model to model non-ignorable drop-out in longitudinal cohort studies of mental health outcomes. The model combines a (non)-linear growth curve model for the time-dependent outcomes and a discrete-time survival model for the drop-out with random effects shared by the two sub-models. The mixture part of the model takes into account population heterogeneity by accounting for latent subgroups of the shared effects that may lead to different patterns for the growth and the drop-out tendency. A simulation study shows that the joint mixture model provides greater precision in estimating the average slope and covariance matrix of random effects. We illustrate its benefits with data from a longitudinal cohort study that characterizes depression symptoms over time yet is hindered by non-trivial participant drop-out.KEYWORDS: Latent growth curve, MNAR drop-out, survival analysis, finite mixture model, mental health 相似文献
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As life expectancy increases, the role of grandparent has increased in duration and is continually adapting as families change in structure, function and form. Across the past several decades, researchers have examined grandparenting styles, finding some consistency as well as the emergence of newer styles, and evidence that grandparenting styles are related to the age and gender of both the grandparents and the grandchildren. In this study, we investigated young adults’ perceptions of grandparenting quality. University Students (N?=?470) from a Midwestern university responded to an online survey that asked them to evaluate the quality of their grandparents grandparenting now and at two retrospective points in time, childhood and adolescence. We hypothesized that the grandparents' performance of multiple styles of their role would be related to grandparenting quality. In addition, we expected that preferred grandparental roles would vary in relation to grandchildren's gender. The results of regression analysis indicated that, although grandparenting quality tended to decline across the respondents' developmental stages, higher ratings at an earlier stage were related to higher ratings at the latter two stages. Further, grandsons preferred grandparents who performed as supporters and advisors, whereas granddaughters preferred grandparents who functioned as supporter and friend. Overall, grandmothers were likely to be the more significant grandparent. Continual research on both grandchildren and grandparents will be needed to chronicle the development of the grandparental role in changing times. 相似文献
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A broad spectrum of flexible univariate and multivariate models can be constructed by using a hidden truncation paradigm. Such models can be viewed as being characterized by a basic marginal density, a family of conditional densities and a specified hidden truncation point, or points. The resulting class of distributions includes the basic marginal density as a special case (or as a limiting case), but also includes an array of models that may unexpectedly include many well known densities. Most of the well known skew-normal models (developed from the seed distribution popularized by Azzalini [(1985). A class of distributions which includes the normal ones. Scand. J. Statist. 12(2), 171–178]) can be viewed as being products of such a hidden truncation construction. However, the many hidden truncation models with non-normal component densities undoubtedly deserve further attention. 相似文献
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Weighted distributions (univariate and bivariate) have received widespread attention over the last two decades because of their flexibility for analyzing skewed data. In this article, we propose an alternative method to construct a new family of bivariate and multivariate weighted distributions. For illustrative purposes, some examples of the proposed method are presented. Several structural properties of the bivariate weighted distributions including marginal distributions together with distributions of the minimum and maximum, evaluation of the reliability parameter, and verification of total positivity of order two are also presented. In addition, we provide some multivariate extensions of the proposed models. A real-life data set is used to show the applicability of these bivariate weighted distributions. 相似文献
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In this article we discuss various strategies for constructing bivariate Kumaraswamy distributions. As alternatives to the Nadarajah et al. (2011) bivariate model, four different models are introduced utilizing a conditional specification approach, a conditional survival function approach, and an Arnold–Ng bivariate beta distribution construction approach. Distributional properties for such bivariate distributions are investigated. Parameter estimation strategies for the models are discussed, as are the consequences of fitting two of the models to a particular data set involving the proportion of foggy days at two different airports in Colombia. 相似文献