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昆明理工大学理学院概率论与数理统计课件Chapter 3 Multionariate Random Variables--Two particular multivariate distribution
昆明理工大学理学院 概率论与数理统计 课件 Chapter 3 Multionariate Random Variables Two particular multivariate distribution
2017/4/17
昆明理工大学理学院概率论与数理统计课件Chapter 3 Multionariate Random Variables--Two particular multivariate distribution.
Multivariate analysis for geochemical process identification using stream sediment geochemical data: A perspective from compositional data
geochemical process identification k-means robust factor analysis Nanling belt log ratio transformation
2017/4/10
Identification of underlying geochemical processes based on samples of different types such as stream sediments,
soils, and water is important for a range of applications including mineral exploratio...
Multivariate Regression Shrinkage and Selection by Canonical Correlation Analysis
Adaptive Lasso Canonical Correlation Analysis Multivariate Regression Selection Consistency
2016/1/20
The problem of regression shrinkage and selection for multivariate regression is considered. The goal is to consistently identify those variables relevant for regression. This is done not only for pre...
This brief paper introduces an algorithm for smooth interpolation of a
multivariate function. The input data for the algorithm consists of a set of function
values and derivatives up to order r on a...
Using multivariate adaptive regression splines to predict the distributions of New Zealand’s freshwater diadromous fish
distribution environment fish fresh-water MARS
2015/8/21
Relationships between probabilities of occurrence for fifteen diadromous fish species and environmental variables characterising their habitat in fluvial waters were explored using an extensive collec...
Comparative performance of generalized additive models and multivariate adaptive regression splines for statistical modelling of species distributions
Distribution Environment Fish Freshwater Generalized additive model Multivariate adaptive regression splines
2015/8/21
Two statistical modelling techniques, generalized additive models (GAM) and multivariate adaptive regression splines (MARS), were used to analyse relationships between the distributions of 15 freshwat...
Minimum Volume Confidence Regions for a Multivariate Normal Mean Vector
James-Stein estimator Fisher-von Mises distributio
2015/8/20
Since Stein’s original proposal in 1962, a series of papers have constructed confidence regions of smaller volume than the standard spheres for the mean vector of
a multivariate normal distribu...
Investigating the multimodality of multivariate data with principal curves
Multimodality Principal curves
2015/8/20
We propose a simple method to assess the number of subpopulations in multivariate data
by projecting the data on its principal curve and then applying Silverman’s bandwidth test
to the resulting uni...
Development of a Multivariate Regression Model for Soil Nitrate Nitrogen Content Prediction
linear regression multivariate statistics nitrogen NPS soil moisture spatial analysis visualization
2015/8/11
Although soil nitrate nitrogen (N) is a nutrient source for crop, it could be a potential nonpoint pollution source to the environment when its content remains high with an inappropriate management. S...
MULTIVARIATE MATHEMATICAL MORPHOLOGY BASED ON PRINCIPAL COMPONENT ANALYSIS: INITIAL RESULTS IN BUILDING EXTRACTION
Multichannel image processing colour morphology vector ordering principal component analysis urban analysis
2015/7/30
Today, colour or multichannel satellite and aerial images are increasingly becoming available due to the commercial availability of
multispectral digital sensors and pansharpening function of the co...
AN INTRODUCTION TO MULTIVARIATE KRAWTCHOUK POLYNOMIALS AND THEIR APPLICATIONS
Multivariate polynomial application
2015/7/7
AN INTRODUCTION TO MULTIVARIATE KRAWTCHOUK POLYNOMIALS AND THEIR APPLICATIONS。
Monitoring General Linear Profiles Using Multivariate EWMA Schemes
General Linear Multivariate EWMA Schemes
2015/3/20
Monitoring General Linear Profiles Using Multivariate EWMA Schemes.
Nonparametric Multivariate Statistical Process Control
Nonparametric Multivariate Statistical Process Control
2015/3/20
Nonparametric Multivariate Statistical Process Control.
Depth-based Quality Control Charts for Multivariate Processes
Quality Control Charts Multivariate Processes
2015/3/20
Depth-based Quality Control Charts for Multivariate Processes.
Monitoring General Linear Profiles Usin Multivariate EWMA schemes
Multivariate EWMA schemes Monitoring General Linear Profile
2015/3/18
We propose a statistical process control (SPC) scheme that can be implemented in industrial practice, where the quality of a process can be characterized by a general linear profile. We start by revie...