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61.
This paper considers the estimation of coefficients in a linear regression model with missing observations in the independent
variables and introduces a modification of the standard first order regression method for imputation of missing values. The
modification provides stochastic values for imputation and, as an extension, makes use of the principle of weighted mixed
regression. The proposed procedures are compared with two popular procedures—one which utilizes only the complete observations
and the other which employs the standard first order regression imputation method for missing values.
A simulation experiment to evaluate the gain in efficiency and to examine interesting issues like the impact of varying degree
of multicollinearity in explanatory variables is proceeded. Some work on the case of discrete regressor variables is in progress
and will be reported in a future article to follow. 相似文献
62.
In this article, we consider the estimation of a population mean when some observations on the study characteristic are missing
in the bivariate sample data. In all, five estimators are presented and their efficiency properties are discussed. One estimator
arises from the the amputation of incomplete observations while the remaining four estimators are formulated using imputed
values obtained by the ratio method of estimation.
This work was carried out before Professor V.K. Srivastava passed away in 2001. 相似文献
63.
64.
Existing research on the market evolution model focused on new product sales growth for a single product category. Accordingly, this approach did not imply any interactions among separate but related product categories that could affect each other's market growth. However, the importance of analyzing these inter-category relationships is emphasized because such an analysis helps managers to better understand the underlying market dynamics and develop more profitable product-line strategies for a multi-product market. 相似文献
65.
66.
A voting rule maps voter preferences into outcomes, and is called sophisticated if there exists a voting tree whose sophisticated outcomes coincide with the voting rule for every voter preference. As yet, no complete characterization of such rules is available. In this paper, we provide an important step toward this characterization by completely solving the problem when there are two possible sets of voter preferences.The second author was supported by the Office of Naval Research, Grant N00014-92-J-1387. 相似文献
67.
Shesh N. Rai Jianmin Pan Xiaobin Yuan Jianguo Sun Melissa M. Hudson Deo K. Srivastava 《统计学通讯:理论与方法》2013,42(17):3117-3133
New drug discovery in the pediatrics has dramatically improved survival, but with long- term adverse events. This motivates the examination of adverse outcomes such as long-term toxicity in a phase IV trial. An ideal approach to monitor long-term toxicity is to systematically follow the survivors, which is generally not feasible. Instead, cross-sectional surveys are conducted in Hudson et al. (2007), with one of the objectives to estimate the cumulative incidence rates along with specific interest in fixed-term (5 or 10 year) rates. We present inference procedures based on current status data to our motivating example with very interesting findings. 相似文献
68.
ABSTRACTThe present work is an attempt to make use of several auxiliary variables at both the occasions for improving the precision of estimates at the current occasion on two occasions of successive sampling. Chain-type ratio estimator has been proposed for estimating the population mean at current occasion in two occasions rotation (successive) sampling. Theoretical properties of the proposed estimator have been investigated. The proposed estimator has been compared with simple mean estimator when there is no matching and with the ratio estimator in successive sampling when information is available on one auxiliary variable on both the occasions. Optimum replacement strategy has also been discussed. Theoretical results have been justified through empirical investigation. 相似文献
69.
Stein-rule philosophy and mixed regression technique are combined to develop two families of improved estimators of regression coefficients in the linear regression model under incomplete prior information. The properties of these estimators are studied when disturbances are small and non-normal. Conditions for their dominance over mixed regression estimator are derived taking risk as the criterion for performance. 相似文献
70.