نتایج جستجو برای: missing
تعداد نتایج: 62925 فیلتر نتایج به سال:
Careful treatment planning, space management, augmentation of bone and attention to the details of implant surgical and prosthetic techniques are important factors when treating anterior maxilla specially replacement of missing teeth. This case report addresses a chair-side ridge augmentation procedure using autograft bone harvested with trephine drills and placed without using screws and the f...
This paper considers the problem of estimating the population mean using the ratio and product methods when some observations in the sample data are missing at random and the population mean of the auxiliary characteristic is not known. Besides an unbiased estimator arising from the total discard of incomplete pairs of observations, four generally biased estimators are presented. The rst two es...
0198-9715/$ see front matter 2012 Elsevier Ltd. A http://dx.doi.org/10.1016/j.compenvurbsys.2012.08.00 ⇑ Corresponding author. Tel.: +44 781 607 6958. E-mail addresses: [email protected] (J. Ha (T. Cheng). 1 Tel.: +44 781 56
The need to predict or fill-in missing data, often referred to as matrix completion, is a common challenge in today’s data-driven world. Previous strategies typically assume that no structural difference between observed and missing entries exists. Unfortunately, this assumption is woefully unrealistic in many applications. For example, in the classic Netflix challenge, in which one hopes to pr...
Incomplete information in a soft set restricts the usage of the soft set. To make the incomplete soft set more useful, in this paper, we propose a data filling approach for incomplete soft set in which missing data is filled in terms of the association degree between the parameters when stronger association exists between the parameters or in terms of the probability of objects appearing in the...
In this paper we investigate the structure and motion problem for calibrated one-dimensional projections of a two-dimensional environment. In a previous paper the structure and motion problem for all cases with non-missing data was classified and solved. Our aim is here to classify all structure and motion problems, even those with missing data, and to solve them. Although our focus here is on ...
Analyzing Group by Time Effects in Longitudinal Two-Group Randomized Trial Designs With Missing Data
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