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作者:GWET, JP; RIVEST, LP
作者单位:Laval University
摘要:Many techniques have been suggested to lower the impact of outliers on sample survey estimates. Outliers can be downweighted by winsorization; that is, by replacing extreme data points by a data-dependent or a predetermined value before calculating estimates. Another approach is to reduce the weight of outliers, from the inverse sampling fraction to 1, in the estimation of population characteristics. In this article the problem of estimating the population mean using auxiliary information in t...
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作者:CARROLL, RJ; LI, KC
作者单位:Texas A&M University System; Texas A&M University College Station
摘要:A general nonlinear regression problem is considered with measurement error in the predictors. We assume that the response is related to an unknown linear combination of a multidimensional predictor through an unknown link function. Instead of observing the predictor, we instead observe a surrogate with the property that its expectation is linearly related to the true predictor with constant variance. We identify an important transformation of the surrogate variable. Using this transformed var...
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作者:LITTLE, RJA
摘要:The literature of regression analysis with missing values of the independent variables is reviewed. Six classes of procedures are distinguished: complete case analysis, available case methods, least squares on imputed data, maximum likelihood, Bayesian methods, and multiple imputation. Methods are compared and illustrated when missing data are confined to one independent variable, and extensions to more general patterns are indicated. Attention is paid to the performance of methods when the mi...
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作者:STANISWALIS, JG; SEVERINI, TA
作者单位:Northwestern University
摘要:We concern ourselves with diagnostics for checking the overall and local goodness of fit of a model s(x) used in the regression of Y on x is-an-element-of U = [0, 1]d. The model for s(x) is a functional form that depends on a finite number of unknown parameters. Two statistics, LAMBDA and LAMBDA-w, are proposed that measure the level of agreement between the model fit to the data and the nonparametric kernel estimator on m preselected points in U. Conditions are given under which LAMBDA and LA...
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作者:BRADLEY, RA; STEWART, FP
摘要:A multidimensional block design (MBD) is an amalgamation of d < 1 component block designs. It may be represented as a d-dimensional lattice with b* = PI-s = 1d b(s) nodes, where b(s) is the number of blocks in the sth component block design. The (j1, ..., j(d))-node of the lattice may have h(i, j1, ..., j(d)) greater-than-or-equal-to 0 experimental units assigned to treatment i, i = 1, ..., nu, j(s) = 1, ..., b(s), s = 1, ..., d, where nu is the number of treatments. If each node of the lattic...
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作者:PEPE, MS
摘要:Kaplan-Meier and cumulative incidence functions are not sufficient descriptive devices for studies that have multiple time-to-event endpoints. For example, in cancer treatment research the probability of tumor recurrence conditional on not having died from treatment-related toxicities and the prevalence of graft-versus-host disease among leukemia-free patients surviving a bone marrow transplant are of interest. These quantities can be estimated nonparametrically using simple functions of sever...
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作者:MEE, RW
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作者:GUTTORP, P; THOMPSON, ML
作者单位:University of Cape Town
摘要:To study patterns of volcanicity it is important to use historical data. These data are, however, frequently incomplete. We develop a nonparametric procedure for estimating second-order parameters of the point process of eruption starts from a catalog. This method requires an assumption of underlying stationarity, of smoothness of the probability of recording an eruption as a function of time, and of independence of this probability from the history of the process. We illustrate the procedure ...
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作者:GOODMAN, LA
作者单位:University of California System; University of California Berkeley
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作者:CAUSEY, BD; WOLTER, KM