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LOCATION BASED ADVERTISING FOR MASS MARKETING
Location based Advertising Open Source GIS Tesseract OCR
2019/2/27
GIS and machine learning (ML) are powerful ICT tools in retail industry which helps the sellers understand their markets. For the consumers, however, there always lies an ambiguity with respect to the...
A QUALITY ANALYSIS AND UNCERTAINTY MODELING APPROACH FOR CROWD-SOURCING LOCATION CHECK-IN DATA
Crowd-sourcing Location check-in Quality analysis Spatial registration Uncertainty Error distribution
2014/4/24
The location check-in data, developing along with social network, are considered as user-generated crowd-sourcing geospatial data.
With massive data volume, abundance in contained information, and h...
The Super Robustness of Maximum Likelihood Location Estimator of Exponential Power Distribution, when p < 1
The Super Robustness Maximum Likelihood Location Estimator Exponential Power Distribution p < 1
2012/9/18
We proof that statistically, the maximum likelihood location estimator of exponential power distribution is strict super robust, when p < 1.
Estimation of a nonnegative location parameter with unknown scale
Concave loss Convex loss Dominance Estimation Generalized Bayes Lower bounded mean,Lloss Minimax Restricted parameter Residual vector Robustness.
2012/9/19
For normal canonical models, and more generally a vast arrayof general spherically symmetric location-scale models with a residual vector, we consider estimatingthe (univariate) location parameter whe...
Quality of Source Location Protection in Globally Attacked Sensor Networks
Cryptography and Security (cs.CR) Probability (math.PR) Statistics Theory (math.ST)
2010/12/17
We propose an efficient scheme for generating fake network traffic to disguise the real event notification in the presence of a global eavesdropper, which is especially relevant for the quality of ser...
The paper concerns the estimation of univariabb
(multivariate) linear regression parameters based on the independent
normally distributed random variables (vectors) with unknown variance
(p. d. cov...
Some statistical completeness results are proved for
location families. For the proofs in the first step some generalizations
of the Wiener closure theorem to LP-spaces with weight functions are
es...
Performance of the Bartlett and Bartlett-Type Corrections in Some Location-Scale Nonlinear Models
Performance of the Bartlett Bartlett-Type Corrections Location-Scale Nonlinear Models
2009/9/17
Performance of the Bartlett and Bartlett-Type Corrections in Some Location-Scale Nonlinear Models。
A class of unbiased location invariant Hill-type estimators for heavy tailed distributions
Asymptotic normality Location invariant Hilltype heavy tailed index estimator Second order regular variation
2009/9/16
Based on the methods provided in Caeiro and Gomes (2002) and Fraga Alves (2001), a new class of location invariant Hill-type estimators is derived in this paper. Its asymptotic distributional represen...
Extending Test Validation Results from One Plant Location to Another: Application of Transportability Evidence
Validation Results Transportability Evidence Plant Location
2009/7/15
The EEOC Uniform Guidelines for Employee Selection Procedures require validation evidence for tests having adverse impact. The Guidelines identify criterion-related, content, and construct validity s...
State Classification for a Class of Interacting Superprocesses with Location Dependent Branching
spatial structure interaction superprocess location dependent branching
2009/4/29
The spatial structure of a class of superprocesses which arise as limits in distribution of a class of interacting particle systems with location dependent branching is investigated. The criterion of ...
Electrostatic Views of Stein-type Estimation of Location Vectors
Coulomb potential function electrostatics estimating function Green's formula James-Stein estimator James-Stein positive-part estimator Pythagorean relationship
2009/3/10
Stein-type estimation of location vectors is discussed with the aid of the theory of electrostatics. We consider a class of estimating functions and assess the superiority of an estimating equation by...
Estimation of Bounded Location and Scale Parameters
Bayes estimator bounded mean decision theory improved estimator location family minimaxity monotone likelihood ratio Pitman estimator restricted parameter scale family symmetric density uniform prior
2009/3/9
This paper addresses the issue of deriving estimators improving on the best location equivariant (or Pitman) estimator under the squared error loss when a location parameter is restricted to a bounded...
Conjugate Location-Dispersion Families
addition identity conjugate prior empirical Bayes estimator Kullback-Leibler separator location-dispersion family posterior mode Pythagorean relationship
2009/3/5
We make a conjugate analysis for the five location-dispersion families including the normal, the transformed gamma and the von Mises distributions. The five families are introduced through the require...
On the Estimation of a Restricted Location Parameter for Symmetric Distributions
Bayes estimator Cauchy and Student models dominance logconcave densities logconvex densities, maximum likelihood estimator, restricted parameter space scale mixture of Laplace densities squared error loss symmetric location families
2009/3/5
For estimating the median θ of a spherically symmetric univariate distribution under squared error loss, when θ is known to be restricted to an interval [−m,m], m known, we derive sufficient con...