搜索结果: 1-15 共查到“统计学 distance”相关记录15条 . 查询时间(0.084 秒)
Applying the job demands–resources model to migrant workers: Exploring how and when geographical distance increases quit propensity
Applying the job demands–resources model migrant workers Exploring how
2016/1/26
We extend the job demands–resources model to explain how and when rural migrants whoworkfarfrom theirfamilies andprovincial hometownsaremore likely toleave jobs. Through two studies, we found that the...
The impacts of migration distance on Chinese migrant workers’ income: The role of fellow villagers
LIBOR rates copula function PDE.
2016/1/20
This paper discusses the correlation structure between London Interbank Offered Rates (LIBOR) by using copula function. We start from one simplified model of Brace, Gatarek & Musiela (1997) and find o...
A Distance-Based Test of Association Between Paired Heterogeneous Genomic Data
A Distance-Based Test Association Between Paired Heterogeneous Genomic Data
2013/4/28
Due to rapid technological advances, a wide range of different measurements can be obtained from a given biological sample including single nucleotide polymorphisms, copy number variation, gene expres...
Generalizing k-means for an arbitrary distance matrix
Generalizing k-means an arbitrary distance matrix
2013/5/2
The original k-means clustering method works only if the exact vectors representing the data points are known. Therefore calculating the distances from the centroids needs vector operations, since the...
Regression with Distance Matrices
functional data analysis mixed data multidimensional scaling shape correlation ma-trix
2013/4/27
Data types that lie in metric spaces but not in vector spaces are difficult to use within the usual regression setting, either as the response and/or a predictor. We represent the information in these...
Distance Metric Learning for Kernel Machines
metric learning distance learning support vector machines semi-de nite programming Mahalanobis distance
2012/9/17
Recent work in metric learning has signi cantly improved the state-of-the-art ink-nearest neighbor classi cation. Support vector machines (SVM), particularly with RBF kernels, are amongst the most pop...
First of all we want to thank the editor, Michael Newton, for leading the review and discussion of our work.
Distance correlation is a new class of multivariate dependence coefficients applicable to random vectors of arbitrary and not necessarily equal dimension. Distance covariance and distance correlation...
The shortest distance in random multi-type intersection graphs
Intersection graph shortest path branching process approximation Poissonapproximation
2010/3/9
Using an associated branching process as the basis of our approximation, we
show that typical inter-point distances in a multitype random intersection graph
have a defective distribution, which is w...
Two members of an exponential family can be
represented as two points in the natural parameter space of that
family or as two points in the expectation parameter space. The
theorem describes a simp...
Minimizing L(1)-distance between distribution functions
Minimizing L(1)-distance distribution functions
2009/9/23
Minimizing L(1)-distance between distribution functions。
Minimum L(1)-penalized distance estimators of a density and its derivatives
Minimum L(1)-penalized distance estimators a density derivatives
2009/9/23
Minimum L(1)-penalized distance estimators of a density and its derivatives。
Expectations of Random Sets and Their Boundaries Using Oriented Distance Functions
Random Sets Boundaries Oriented Distance Functions
2010/3/18
Shape estimation and object reconstruction are common problems in image analysis. Mathematically,viewing objects in the image plane as random sets reduces the problem of shape estimation to inference ...
Minimum distance regression model checking with Berkson measurement errors
Kernel estimator L2 distance consistency local alternatives
2010/3/18
Lack-of-fit testing of a regression model with Berkson measurement
error has not been discussed in the literature to date. To fill
this void, we propose a class of tests based on minimized integrate...
DECOMPOSITIONS OF SYMMETRYMODEL INTO MARGINAL HOMOGENEITY AND DISTANCE SUBSYMMETRY IN SQUARE CONTINGENCY TABLES WITH ORDERED CATEGORIES
decomposition distance subsymmetry model marginal homogeneity model ordered category square contingency table symmetry model
2009/2/25
For square contingency tables with ordered categories, this paper proposes some dis-
tance subsymmetry models. The one model indicates that the cumulative probability
that an observation will fall i...