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point estimation

Change Point Estimation of Location Parameter in Multistage Processes

Change Point Estimation of Location Parameter in Multistage Processes

... change point) to search for special causes that disturbed the ...change point detection in multistage processes, in which most of them have been performed using the linear state space model to describe ...

5

Vanishing Point Estimation for On-Road Navigation

Vanishing Point Estimation for On-Road Navigation

... Vanishing Point estimation has been considered very important in case of driver assistance systems to indicate the possible turning direction of road ...vanishing point estimation in a ...

5

Change Point Estimation of the Stationary State in Auto Regressive Moving Average Models, Using Maximum Likelihood Estimation and Singular Value Decomposition-based Filtering

Change Point Estimation of the Stationary State in Auto Regressive Moving Average Models, Using Maximum Likelihood Estimation and Singular Value Decomposition-based Filtering

... change point estimation has been utilized in the stationary state of auto regressive moving average (ARMA) (1, ...the estimation of the stationary state’s change ...change point, the dynamic ...

11

Parametric Point Estimation of the Geeta Distribution

Parametric Point Estimation of the Geeta Distribution

... The parametric point estimation is twofold; finding point estimators and then determining good, or optimum estimator. In the preliminaries stages a statistic is obtained by taking a sample of size, n ...

9

Two-Step Sequential Procedure for the Point Estimation of the Exponential Scale Parameter

Two-Step Sequential Procedure for the Point Estimation of the Exponential Scale Parameter

... step sequential procedure for the point estimation of the exponential scale parameter with the inclusion of the cost function to the observed sample variance is proposed. As a measure of accuracy of the ...

11

Monitoring and Change Point Estimation of AR(1) Autocorrelated Polynomial Profiles

Monitoring and Change Point Estimation of AR(1) Autocorrelated Polynomial Profiles

... The rest of the paper is organized as follows. In the next section, the problem formulation as well as assumptions is given. The transformation technique and application of the general linear test to monitor polynomial ...

10

Bayesian cluster analysis : point estimation and credible balls

Bayesian cluster analysis : point estimation and credible balls

... a point estimate of the partition, of- ten through MAP inference (Heller and Ghahramani (2005), Dahl (2009), Raykov et ...the point estimate which minimizes the posterior expected VI that avoids ...

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Change Point Estimation in Panel Data without Boundary Issue

Change Point Estimation in Panel Data without Boundary Issue

... change point in the given panel ...change point estimator that is consistent regardless of the change’s ...change point can neither be detected nor estimated when being close to the beginning or to ...

22

Online Full Text

Online Full Text

... Abstract—In this paper, a novel with low complexity gaze point estimation algorithm in unaware gaze tracker is proposed which is suitable in normal environment. The experimental results demonstrate our ...

5

Use of Texture Orientation Based Vanishing Point for Road Direction Estimation

Use of Texture Orientation Based Vanishing Point for Road Direction Estimation

... Different techniques are used for vanishing point estimation. This paper uses technique discussed in [4] for estimating the vanishing point. The vanishing point so obtained can then be used to ...

5

Estimation and Testing Procedures for the Reliability Functions of Three Parameter Burr Distribution under Censorings

Estimation and Testing Procedures for the Reliability Functions of Three Parameter Burr Distribution under Censorings

... The reliability function R(t ) is defined as the probability of failure-free operation un- til time t. Thus, if the random variable (rv) X denotes lifetime of an item or system, then R(t) = P (X > t). Another measure ...

29

Estimation in a linear multivariate measurement error model with a change point in the data

Estimation in a linear multivariate measurement error model with a change point in the data

... the estimation of the turnover point in the case when the sample size is m = ...turnover point estimation harder even if the variances of the clusters still ...

22

EFFICIENT SNR ESTIMATION IN OFDM SYSTEM

EFFICIENT SNR ESTIMATION IN OFDM SYSTEM

... SNR estimation methods are substantially degraded for high level modulation scheme such as M-ary amplitude and phase shift keying (APSK) or quadrature amplitude modulation ...SNR estimation method which ...

5

A comparative study of effort estimation techniques using back propagation algorithm

A comparative study of effort estimation techniques using back propagation algorithm

... effort estimation is the process of predicting the most realistic amount of effort (expressed in terms of person-hours or money) required to develop or maintain software based on incomplete and uncertain ...Effort ...

7

Training based channel estimation algorithms for dual hop MIMO OFDM relay systems

Training based channel estimation algorithms for dual hop MIMO OFDM relay systems

... channel estimation for two-hop multiple-input multiple-output (MIMO) orthogonal frequency division multiplexing (OFDM) relaying ...channel estimation process is divided into two main ...well-known ...

16

An Analysis of Use Case Point Method

An Analysis of Use Case Point Method

... _____________________________________________________________________________________________________ Abstract—Different methods for effort estimation has been discovered and experimented. Some gives better result ...

10

Identification and estimation of a large factor model with structural instability

Identification and estimation of a large factor model with structural instability

... of those nonzero elements is small if the magnitude of structural change is small. Consequently, estimators of the number of factors which perform well in the normal case tend to underestimate the number of pseudo ...

39

Suboptimal threshold estimation for detection of point-like objects in radar images

Suboptimal threshold estimation for detection of point-like objects in radar images

... The main goal of this research is to propose a proce- dure for finding the optimal values for thresholds T H , T S , and T C to obtain the maximum of the quality func- tion. For the purpose of this work, these thresholds ...

12

Atmospheric Water Estimation Using GNSS Precise Point Positioning Method

Atmospheric Water Estimation Using GNSS Precise Point Positioning Method

... These analyses and findings allow us to conclude that GNSS data processing using PPP method provides high accuracy solutions that may be used for retrieving information about the water content in the atmosphere. These ...

9

A statistical approach to estimating the strength of cell-cell interactions under the differential adhesion hypothesis

A statistical approach to estimating the strength of cell-cell interactions under the differential adhesion hypothesis

... marked point processes [22], the con- tinuous model can still be described through a Hamilto- nian function (Section "A continuous model for ...marked point processes theory ...

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