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[PDF] Top 20 Detection and estimation of outliers in low-resolution saturated factorial experiments

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Detection and estimation of outliers in low-resolution saturated factorial experiments

Detection and estimation of outliers in low-resolution saturated factorial experiments

... The simulated data sets also showed how an outlier can affect the interpretation of an experiment depending on the number and sizes of active.. effects and on the amount the outlying val[r] ... See full document

114

Robust estimation and detection of outliers in simultaneous regression model

Robust estimation and detection of outliers in simultaneous regression model

... Unfortunately, to date, not much work has been focus on the parameter estimations of simultaneous equation model in the presence of outliers. The 2SLS method is the most widely used method to estimate the ... See full document

27

Changepoint Detection in the Presence of Outliers

Changepoint Detection in the Presence of Outliers

... ized rand-index measures the overlap between the true segmentation and the inferred segmentation, with larger values indicating a better estimation of the segmentation. In terms of mean square error, for almost ... See full document

61

Robust State Estimation with Sparse Outliers

Robust State Estimation with Sparse Outliers

... the outliers were detected (the worst-case scenario) the bias in Λ†x k+1|k+1 will be no worse than the bias for the Kalman lter ...large outliers are exactly canceled by the measurement and process noise ... See full document

35

Outliers in Garch models and the estimation of risk measures

Outliers in Garch models and the estimation of risk measures

... outlier detection, using a threshold value of k ...considered outliers for the S&P 500 ...as outliers in the Dow Jones ...as outliers for the Dow Jones are, for instance, observation 4407 ... See full document

21

Detection of outliers in the complex linear regression model

Detection of outliers in the complex linear regression model

... of outliers in any type of data affects the estimation of models’ ...outlier detection tests in circular regression and it motivated us to propose simple techniques to detect any ... See full document

6

Detection of Patches of Outliers in Stochastic Volatility Processes.

Detection of Patches of Outliers in Stochastic Volatility Processes.

... model estimation and can lead to poor model ...correct detection of these observations can provide valuable information about the series that is under ...the outliers come in patches because the ... See full document

23

Wavelet-based detection of outliers in volatility models

Wavelet-based detection of outliers in volatility models

... Abstract Outliers in financial data can lead to model parameter estimation biases, invalid inferences and poor volatility ...their detection and correction should be taken seriously when modeling ... See full document

23

On the Detection of Influential Outliers in Linear Regression Analysis

On the Detection of Influential Outliers in Linear Regression Analysis

... Regression analysis, as we know, is one of the most important statistical techniques for model fitting. If a regression model is appropriately selected, most observations should be fairly close to the regression line or ... See full document

7

Target Detection in Heterogeneous Clutter with Low Resolution Radar

Target Detection in Heterogeneous Clutter with Low Resolution Radar

... accurate detection and position estimation ...following experiments operate under the assumption that the receiver can collect a limited number of ...cross-range resolution of a SAR image is ... See full document

109

Factorial Experiments

Factorial Experiments

... There are several choices for the column under D. Following an ad hoc approach, this column is initially constructed, by trial and error method, so that the re- sulting design is a feasible one and that the correla- tion ... See full document

12

The analysis of unreplicated factorial experiments

The analysis of unreplicated factorial experiments

... the detection rates exhibited by BP, BM and LE (Berk and Picard, 1991) as well as ZA (Zahn, 1975b) are rather low even for situations with active contrasts as large as ...high detection rate for ... See full document

104

MAXIMUM A POSTERIORI ESTIMATION (MAP) FOR NESTED-FACTORIAL EXPERIMENTS OF THREE PHASES WITH REPEATED MEASUREMENTS

MAXIMUM A POSTERIORI ESTIMATION (MAP) FOR NESTED-FACTORIAL EXPERIMENTS OF THREE PHASES WITH REPEATED MEASUREMENTS

... Agronomic experiments are often complex and difficult to interpret, and the proper use of appropriate statistical methodology is essential for an efficient and reliable ...nested factorial ... See full document

Design of Experiments Advanced Factorial Designs

Design of Experiments Advanced Factorial Designs

... effects Resolution IV – Some two-factor interactions are confounded with each other, however, no main effect is confounded with any other main effect or with any two-factor ... See full document

20

Removing Outliers in Illumination Estimation

Removing Outliers in Illumination Estimation

... illumination estimation methods is hampered by outliers. Outliers can be due to simple noise or to the presence of unexpected secondary ...these outliers based on the RANSAC algorithm was ... See full document

6

Head Pose Estimation on Low Resolution Images

Head Pose Estimation on Low Resolution Images

... angle estimation appears to be natural for humans, whereas tilt angle estimation is ...angle estimation but improves significantly tilt angle ... See full document

12

A Modified Approach for Detection of Outliers

A Modified Approach for Detection of Outliers

... Using the similar pattern of Hubert and Vandervieren boxplot, technique is framed as [𝐿𝑓 π‘ˆπ‘“] = [𝑄 1 βˆ’ 1.5 βˆ— 𝐼𝑄𝑅 βˆ— 𝑒 βˆ’π‘†πΎβˆ—|𝑀𝐢| 𝑄 3 + 1.5 βˆ— 𝐼𝑄𝑅 βˆ— 𝑒 π‘†πΎβˆ—|𝑀𝐢| ] A restriction is also imposed here that if classical skewness is ... See full document

12

A contribution to a notation system of the confounded factorial experiments

A contribution to a notation system of the confounded factorial experiments

... (ed.) (1D The design and analysis of industrial experiments.. Clj Experimental designs. C1) Experimental design-Theory and Application. ClD The fractional replication of facto[r] ... See full document

11

The Orthogonal Interactions Model for Unreplicated Factorial Experiments

The Orthogonal Interactions Model for Unreplicated Factorial Experiments

... for estimation of the interaction terms while providing degrees of freedom for error in the case of no replication and compare our new model to existing ... See full document

135

Car Detection in Low Resolution Aerial Image *

Car Detection in Low Resolution Aerial Image *

... Besides, the coincidental alignment of boundary lines and shadow lines as well as the coinciden- tal alignment of features of adjacent cars may also create high probabili[r] ... See full document

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