Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 20 of 223 for “"ΤΕΧΝΙΚΕΣ "MISSING OBSERVATIONS""”.
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Control Charts with Missing Observations
… However, it is often possible in practice for observations, and even entire samples, to be missing. This dissertation investigates missing observations in Exponentially Weighted Moving Average (EWMA) and Multivariate EWMA (MEWMA) control charts. The standardized sample mean is used since this …
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Analysis of variance of a randomized block design with missing observations
The estimation of several missing values in a randomized block design ls considered. The method used ls that of minimizing the error sum of squares, proposed originally by Yates (1933). Explicit equation for each absent value are derived for all cases in which not more than three values are …
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Analysis of variance of a balanced incomplete block design with missing observations
… in this paper is that of estimating several missing values and analyzing the resulting augmented data in a balanced incomplete block design. The estimates are obtained by Yates' procedure of minimizing the error sum of squares. Explicit formulae are obtained for all cases involving not more …
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Forecasting of work in process quality using Holt-Winters method for missing observations
… model using extension of Holt-Winters method for missing data. The variable of interest considered was the fraction non-conforming of a process. Initial values were generated using Beta distribution. Values of fraction non-conforming for future periods were generated using different processes such …
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Analysis of variance of a group divisible singular design with two associate classes with missing observations
… in this paper is the estimation of a single missing observation, two missing observations and several missing observations in a Group Visible (Singular) for Shirley balanced incomplete blocks design with two associate classes. Subsequently the analysis of variance, of the data augmented by …
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Human Agent Transfer from Observations
… work in LfD have investigated learning from observations only, i.e., when only the demonstrator’s states (and not its actions) are available to the learner. Since the demonstrator’s actions are treated as labels for HAT, supervised learning becomes untenable in their absence. We adapt the …
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Missing methane: Machine learning for satellite remote sensing of methane
… globally on a daily basis. However, TROPOMI observations of methane are often spatially disrupted due to cloud cover and other factors that prevent accurate retrievals of methane abundances. In this thesis, I present a Bayesian model capable of learning the extent to which TROPOMI …
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Methods for the estimation of missing values in time series
… Since, the data are records taken through time, missing observations in time series data are very common. This occurs because an observation may not be made at a particular time owing to faulty equipment, lost records, or a mistake, which cannot be rectified until later. When one or more …
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A Comparison for Longitudinal Data Missing Due to Truncation
… Often the dropout is nonignorable and the missing mechanism needs to be incorporated in the analysis. The methods handling missing data make various assumptions about the missing mechanism, and their utility in practice depends on whether these assumptions apply in a specific application. …
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Analysis of Longitudinal Data With Missing Responses: A Study of Pain Control Cost
… is longitudinal data with cost values completely missing. We fill in the daily cost for minority observations based on the information provided by the price data, and then impute the daily cost for the remaining observations by applying multiple imputation. Multiple sets of complete imputed daily …
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Influence of missing explanatory variables and longitudinal assessments in breast cancer clinical trials
… bias in the parameter estimates resulting from missing observations is an important concern.In this thesis, the influence of missing data on explanatory variables in time-dependent Cox model analysis is explored, with application to breast cancer clinical trials. In particular, imputation in the …
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A Predictive Time-to-Event Modeling Approach with Longitudinal Measurements and Missing Data
… To handle the practical difficulty due to missing data in longitudinal measurements, and to accommodate observations at irregularly spaced time points, we propose a smoothed composite likelihood approach for estimations. The forward intensity function approach intrinsically incorporates the …
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Quantifying mercury surface fluxes by combining atmospheric observations and models
… spatial scales by combining atmospheric observations and models. First, a global scale inverse model study uses observations at multiple ground-based stations and simulations from a three-dimensional chemical transport model (GEOS-Chem) to obtain a total mercury emission of about 5.8 Gg …
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Random feature subspace ensemble based approaches for the analysis of data with missing features
<p>Missing data in real world applications is not an uncommon occurrence. It is not unusual for training, validation or field data to have missing features in some (or even all) of their instances, as bad sensors, failed pixels, malfunctioning equipment, unexpected noise causing signal saturation, …
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Inference from Limited Observations in Statistical, Dynamical, and Functional Problems
… into cross-sectional data which record a set of observations at a given time, dynamical data which follow how observations change in time, and functional data which observe data points over a space (and possibly time) domain. In each setting, prior knowledge of statistical, dynamical systems, and …
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Two leptons, jets, and missing transverse momentum in ATLAS: yet more non-evidence for supersymmetry
… lack of new phenomena, nor by the many similar observations. But it is also not confirmed. Data are best interpreted with an understanding of their origins, so we begin by describing the theoretical and experimental background to our search. Our results also depend strongly on the interpretation …
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Architecture Live Projects acquiring and applying missing practice-ready skills
… strengthen validity. The themes relating to the missing skillsets were then inter-related to highlight any interdependencies and to ensure a rigorous level of analysis and abstraction. Findings in relation to each skillset were isolated within focused chapters. Mixed method or ‘multi-method’ …
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The photolysis and radiolysis of barium azide, with some observations on the photolysis and radiolysis of lithium azide
[Many pages missing] If the respective curves lntersect and the excited state has a minimum lying inside the ,ground state curve, then on optical transition to the excited state wi II be followed by a radiationless transition to the point where the excited and ground state curves intersect. If, …
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The Missing Link: Towards Connected, Flexible, Open and Productive Systems for Knowledge-Driven Organizations
… frequently used in unintended ways. Based on observations, theories, and suggestions in existing literature we propose four design guidelines, which aim at overcoming the aforementioned problems: (1) to enable composition of contextual linkages between heterogeneous systems (‘no data is an …
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The Vela Supercluster - does it provide the missing link to explain the local flow fields?
… via the Cosmic Microwave Background (CMB) observations.
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