نتایج جستجو برای: linearly covariate error model

تعداد نتایج: 2308890  

2006
Hira L. Koul Tingting Yi

In the interval censored case 1 data, an event occurrence time is unobservable, but one observes an inspection time and whether the event has occurred prior to this time or not. Such data is also known as the interval censored case 1 data. It is of interest to assess the effect of a covariate on the event occurrence time variable. This note constructs tests for fitting a class of parametric reg...

2014
Frank Kloprogge Vincent Jullien Patrice Piola Mehul Dhorda Sulaiman Muwanga François Nosten Nicholas P. J. Day Nicholas J. White Philippe J. Guerin Joel Tarning

OBJECTIVES Oral quinine is used for the treatment of uncomplicated malaria during pregnancy, but few pharmacokinetic data are available for this population. Previous studies have reported a substantial effect of malaria on the pharmacokinetics of quinine resulting from increased α-1-acid glycoprotein levels and decreased cytochrome P450 3A4 activity. The aim of this study was to investigate the...

2012
Elizabeth Hansen Kung-Sik Chan Nils Chr. Stenseth

The annual response variable in an ecological monitoring study often relates linearly to the weighted cumulative effect of some daily covariate, after adjusting for other annual covariates. Here we consider the problem of non-parametrically estimating the weights involved in computing the aforementioned cumulative effect, with a panel of short and contemporaneously correlated time series whose ...

2008
YANYUAN MA

A low-degree polynomial model for a response curve is used commonly in practice. It generally incorporates a linear or quadratic function of the covariate. In this paper we suggest methods for testing the goodness of fit of a general polynomial model when there are errors in the covariates. There, the true covariates are not directly observed, and conventional bootstrap methods for testing are ...

2008
Yanyuan Ma

A low-degree polynomial model for a response curve is used commonly in practice. It generally incorporates a linear or quadratic function of the covariate. In this paper we suggest methods for testing the goodness of fit of a general polynomial model when there are errors in the covariates. There, the true covariates are not directly observed, and conventional bootstrap methods for testing are ...

Journal: :caspian journal of environmental sciences 2014
f. karandish a. shahnazari

the present study was carried out to evaluate three interpolation methods including weighted moving average (wma) with the power of 2 and 3, kriging and cokriging methods. data of 23 wells in mazandaran province were collected in fall and spring 2006. seven parameters including electrical conductivity (ec), ph, total dissolved solids (tds), sodium adsorption ratio (sar), total hardness (th), ch...

پایان نامه :وزارت علوم، تحقیقات و فناوری - دانشگاه صنعتی اصفهان 1389

run-out-table (rot) is located between last finishing stand and down coiler in a hot strip mill. as the hot steel strip passes from rot, water jets impact on it from top and bottom and strip temperature decreases approximately from 800-950 °c to 500-750°c. the temperature history that strip experience while passing through rot affects significantly the metallurgical and mechanical properties, s...

Journal: :Computational Statistics & Data Analysis 2010
Cédric Heuchenne Ingrid Van Keilegom

Suppose the random vector (X,Y ) satisfies the regression model Y = m(X) + σ(X)ε, where m(·) = E(Y |·), σ2(·) = Var(Y |·) and ε is independent of X. The covariate X is d-dimensional (d ≥ 1), the response Y is one-dimensional, and m and σ are unknown but smooth functions. In this paper we study goodness-of-fit tests for the parametric form of the error distribution under this model, without assu...

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