搜索结果: 61-75 共查到“统计学 Sampling”相关记录78条 . 查询时间(0.119 秒)
Equidistant sampling for the maximum of a Brownian motion with drift on a finite horizon
Gaussian random walk maximum Riemann zeta function Euler-Maclaurin summation equidistant sampling of Brownian motion finite horizon
2009/4/29
A Brownian motion observed at equidistant sampling points renders a random walk with normally distributed increments. For the difference between the expected maximum of the Brownian mo- tion and its s...
Sampling Formulae for Symmetric Selection
Ewens sampling formula partition structure symmetric selection homozygosity
2009/4/27
We study partition distributions in a population genetics model incorporating symmetric selection and mutation. They generalize Ewens distributions in the infinitely-many-neutral-alleles model, an exp...
Equidistant sampling for the maximum of a Brownian motion with drift on a finite horizon
Brownian motion finite horizon
2009/4/22
A Brownian motion observed at equidistant sampling points renders a random walk with normally distributed increments. For the difference between the expected maximum of the Brownian mo- tion and its s...
Perfect sampling from the limit of deterministic products of stochastic matrices
sampling limit product
2009/3/20
We illustrate how a technique from the theory of random iterations of functions can be used within the theory of products of matrices. Using this technique we give a simple proof of a basic theorem ab...
An Efficient Class of Chain Estimators of Population Variance under Sub-Sampling Scheme
auxiliary variable chain estimator consistent estimator double sampling technique mean square error optimum estimator study variable
2009/3/9
For estimating the population variance S2y of study variable y, a class of chain estimators of S2y has been proposed in the presence of two auxiliary variables x and z by using known information on po...
Improving the Stratification of Medical Institutions for Stratified Sampling in the Patient Survey
correspondence analysis Patient Survey ratio estimation standard error rate stratified random sampling
2009/3/9
The Patient Survey is a designated statistical survey conducted every three years with the objective of obtaining basic data on the current status of patients in medical institutions in Japan. Since s...
Estimation of cosmological parameters using adaptive importance sampling
Estimation cosmological parameters adaptive importance sampling
2010/3/19
We present a Bayesian sampling algorithm called adaptive importance sampling or Population
Monte Carlo (PMC), whose computational workload is easily parallelizable and thus has the potential to consi...
A Gibbs Sampling Alternative to Reversible Jump MCMC
Gibbs sampler Model switching Variable dimension
2010/3/18
This note presents a simple and elegant sampler which
could be used as an alternative to the reversible jump MCMC methodology.
Sampling design variance estimation of small area estimators in the Spanish Labour Force Survey
Labour Force Survey small area estimation linear models mean squared error bootstrap jackknife unemployment totals calibrated weights
2009/2/23
The main goal of this paper is to investigate how to estimate sampling design variances of modelbased and model-assisted small area estimators in a complex survey sampling setup. For this purpose the ...
Sparse sampling：Spatial design for monitoring stream networks
Sparse sampling Spatial design monitoring stream networks
2009/2/11
Spatial designs for monitoring stream networks, especially ephemeral systems, are typically non-standard, `sparse' and can be very complex, reflecting the complexity of the ecosystem being monitored, ...
Gibbs Sampling，Exponential Families and Orthogonal Polynomials
Gibbs sampler running time analyses exponential families conjugate priors location families orthogonal polynomials
2010/4/30
We give families of examples where sharp rates of convergence
to stationarity of the widely used Gibbs sampler are available.
The examples involve standard exponential families and their conjugate
...
Comment：Gibbs Sampling，Exponential Families and Orthogonal Polynomials
Comment Gibbs Sampling Exponential Families Orthogonal Polynomials
2010/4/30
Let K be a reversible Markov kernel on a measurable
space (S,B) with stationary distribution P.
Regard K as a linear operator, K:L2(P)→L2(P),
and suppose that L2(P) admits an orthonormal basis
of ...
Comment：Lancaster Probabilities and Gibbs Sampling
Comment Lancaster Probabilities Gibbs Sampling
2010/4/30
It is a pleasure to congratulate the authors for
this excellent, original and pedagogical paper. I read
a preliminary draft at the end of 2006 and I then
mentioned to the authors that their work sh...
Rejoinder：Gibbs Sampling，Exponential Families and Orthogonal Polynomials
Rejoinder Gibbs Sampling Exponential Families Orthogonal Polynomials
2010/4/30
We are thankful to the discussants for their hard, interesting
work. The main purpose of our paper was to give reasonably sharp rates
of convergence for some simple examples of the Gibbs sampler. We...
On the incidence-prevalence relation and length-biased sampling
prevalent cohort right censoring left truncation incidence rate nonparametric maximum likelihood estimator
2010/4/30
For many diseases, logistic and other constraints often render large incidence
studies difficult, if not impossible, to carry out. This becomes a drawback,
particularly when a new incidence study is...