搜索结果: 1-15 共查到“管理学 Fitting In”相关记录16条 . 查询时间(0.093 秒)
Tractable Fitting with Convex Polynomials via Sum-of-Squares
Tractable Fitting Convex Polynomials Sum-of-Squares
2015/7/10
We consider the problem of fitting given data (u_1,y_1),...,(u_m,y_m), where u_i in {bf R}^n and y_i in {bf R}, with a convex polynomial f$. A technique to solve this problem using sum of squares pol...
Convex Piecewise-Linear Fitting
Convex optimization Piecewise-linear approximation Data fi tting
2015/7/9
We consider the problem of fitting a convex piecewise-linear function, with some specified form, to given multi-dimensional data. Except for a few special cases, this problem is hard to solve exactly,...
A Distributed Algorithm for Fitting Generalized Additive Models
Convex optimization Distributed optimization Generalized additive models
2015/7/9
Generalized additive models are an effective regression tool, popular in the statistics literature, that provide an automatic extension of traditional linear models to nonlinear systems. We pres...
GPfit: An R package for Gaussian Process Model Fitting using a New Optimization Algorithm
Computer experiments, clustering, near-singularity, nugget
2013/6/13
Gaussian process (GP) models are commonly used statistical metamodels for emulating expensive computer simulators. Fitting a GP model can be numerically unstable if any pair of design points in the in...
A stochastic variational framework for fitting and diagnosing generalized linear mixed models
Hierarchical model Identify divergent units Large longitudinal data Non-conjugate model Stochastic approximation Variational Bayes
2012/9/17
Variational Bayes computational methods are attracting increasing in-terest because of their ability to scale to large data sets. Here, application of the
non-conjugate variational message passing (N...
Iterative Conditional Fitting for Gaussian Ancestral Graph Models
Iterative Conditional Fitting Gaussian Ancestral Graph Models
2012/9/19
Ancestral graph models, introduced by Richard-son and Spirtes (2002), generalize both Markov random fields and Bayesian networks to a class of graphs with a global Markov property that is closed under...
The productivity effect of informal employees:The Tshwane tyre-fitting industry as a case study
productivity effect informal employees Tshwane tyre-fitting industry a case study
2012/10/17
The article investigated the application of a suitable estimation model to measure the productivity spill over effects of informal employees.
Distribution fitting 12. Sampling distribution of compounds abundance from plant species measured by instrumentation. Application to plants metabolism classification
chemical compounds abundances lognormal distribution
2011/7/6
A series of ten plant species belonging to Magnoliopsida - Dicotyledons class were analyzed in terms of chemical compounds distribution of abundance, starting from the assumption that these distributi...
Distribution fitting 13. Analysis of independent, multiplicative effect of factors. Application to effect of essential oils extracts from plant species on bacterial species. Application to factors of antibacterial activity of plant species
factor analysis Negative Binomial distribution Poisson distribution
2011/7/5
A factor effect study was conducted on a set of observations at the contingency of a series of plant species and bacteria species regarding the antibacterial activity of essential oil extracts.
Accounting for Calibration Uncertainties in X-ray Analysis: Effective Areas in Spectral Fitting
Accounting for Calibration Uncertainties Effective Areas in Spectral Fitting X-ray Analysis
2011/3/25
While considerable advance has been made to account for statistical uncertainties in astronomical analyses, systematic instrumental uncertainties have been generally ignored. This can be crucial to a ...
Numerical studies of the metamodel fitting and validation processes
Gaussian process discrepancy optimal design Latin hypercubesampling computer experiment
2010/3/9
Complex computer codes, for instance simulating physical phenomena,
are often too time expensive to be directly used to perform uncertainty,
sensitivity, optimization and robustness analyses. A wide...
Hierarchical Model Building, Fitting, and Checking: A Behind-the-Scenes Look at a Bayesian Analysis of Arsenic Exposure Pathways
Bayesian learning data management environmental health model validation
2009/9/24
In this article,we present a behind-the-scenes look at a Bayesian
hierarchical analysis of pathways of exposure to arsenic(a toxic heavy metal)
using the Phase I National Human Exposure Assessment ...
A comparison of Bayesian and likelihood-based methods for fitting multilevel models
Adaptive MCMC bias calibration diuse priors hierarchical modeling MQL mixed models PQL RIGLS random-eects logistic regression
2009/9/21
We use simulation studies, whose design is realistic for educational
and medical research (as well as other elds of inquiry), to compare Bayesian and
likelihood-based methods for tting variance-comp...
Error analysis for circle fitting algorithms
Least squares fit curve fitting circle fitting algebraic fit error analysis variance bias functional model
2009/9/16
We study the problem of fitting circles (or circular arcs) to data points observed with errors in both variables. A detailed error analysis for all popular circle fitting methods – geometric fit, K&ar...
LOCAL FITTING WITH A POWER BASIS
local polynomial fitting Taylor expansion power basis bias reduction
2009/2/26
Local polynomial modelling can be seen as a local fit of the data against a polynomial
basis. In this paper we extend this method to the power basis, i.e. a basis which
consists of the powers of an ...